KR20180124704A - Method for providing scan protocol information to a medical device and electronic device therefor - Google Patents

Abstract

The present invention relates to a method of an electronic device providing configuration information related to image scan to a medical device, which obtains an optimal medical image by using scan protocol information set by a skilled physician and a radiologist. The method comprises the following steps of: obtaining information of a tested person and a plurality of lists of setting information corresponding to identification information of the medical device; determining first setting information among the plurality of lists of the setting information as recommendation information based on a negative index indicating a degree of negative influence on the tested person; and displaying the first setting information determined as the recommendation information on a display.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention [0001] The present invention relates to a scan protocol information providing method,

This disclosure relates to artificial intelligence (AI) systems and applications thereof that utilize machine learning algorithms. In particular, this disclosure relates to a method of providing configuration information relating to image scanning to a medical device, and to an electronic device and system therefor.

As medical technology develops, the functions of medical devices are also diversifying and evolving.

In particular, the scan protocol information or the system setting information necessary for controlling the medical device for capturing a medical image has become more complicated and diversified.

In this case, a skilled physician or radiologist skilled in the medical imaging experience of many medical images is required to take an optimal medical image with good lesion classification.

For example, even in the same medical device, since the optimal set values of the medical device are different depending on the lesion to be photographed and the photographed part, skilled radiographing experience of a physician or radiologist is required in setting scan protocol information or system setting information .

On the other hand, there is an attempt to introduce an artificial intelligence system in the field of medical technology. Artificial intelligence (AI) system is a computer system that implements human-level intelligence. Unlike existing Rule-based smart systems, AI is a system in which machines learn, judge and become smart. As the use of artificial intelligence improves recognition rate and understanding of user 's taste more accurately, existing rule - based smart systems are gradually being replaced by deep - based artificial intelligence systems.

Artificial intelligence technology consists of element technologies that utilize deep learning and machine learning.

Machine learning is an algorithm technology that classifies / learns the characteristics of input data by itself. Element technology is a technology that simulates functions such as recognition and judgment of human brain using machine learning algorithms such as deep learning. Understanding, reasoning / prediction, knowledge representation, and motion control.

The various fields in which artificial intelligence technology is applied are as follows. Linguistic understanding is a technology for recognizing, applying, and processing human language / characters, including natural language processing, machine translation, dialogue system, query response, speech recognition / synthesis, and the like. Visual understanding is a technology for recognizing and processing objects as human vision, including object recognition, object tracking, image search, human recognition, scene understanding, spatial understanding, and image enhancement. Inference prediction is a technique for judging and logically inferring and predicting information, including knowledge / probability based reasoning, optimization prediction, preference base planning, and recommendation. Knowledge representation is a technology for automating human experience information into knowledge data, including knowledge building (data generation / classification) and knowledge management (data utilization). The motion control is a technique for controlling the autonomous travel of the vehicle and the motion of the robot, and includes motion control (navigation, collision, traveling), operation control (behavior control), and the like.

In order to obtain an optimal medical image, it is necessary to consider the characteristics of the hospital, the imaging region, the scan protocol information set according to the imaging lesion, or the system setting for each medical device.

Accordingly, an object of the present invention is to acquire an optimal medical image using scan protocol information set by a skilled physician or radiologist.

In addition, it is to be understood that the technical subject matter of the present disclosure is not limited to the above-described technical subjects, and other technical subjects not mentioned can be clearly understood from the following description, .

The method of providing an electronic device of the present disclosure to a medical device includes determining an external medical device to communicate with the electronic device, receiving, from the determined medical device, preset scan protocol information for the medical device An operation for receiving recommendation scan protocol information settable to the medical device from an external medical information management server, an operation for setting the preset scan protocol information and the recommendation scan protocol so that the user can compare the preset scan protocol information and the recommended scan protocol information, Protocol information and the recommendation scan protocol information together; requesting the medical device to set up the recommendation scan protocol information; receiving a user input; and receiving the recommendation scan protocol information based on the user input To the medical device It includes.

An electronic device for providing scan protocol information to a medical device of the present disclosure includes a display, a user input capable of receiving user input, a communication unit capable of communicating with an external medical device and an external medical information management server, And a memory electrically connected to the processor, wherein the memory is configured such that upon execution of the electronic device, the processor is configured to receive scan protocol information preset in the medical device from the medical device, The control unit controls the communication unit to receive recommended protocol information settable in the medical device from the medical information management server, and transmits the preset scan protocol information and the recommendation protocol information so that the user can compare the preset scan protocol information and the recommendation protocol information. Scan protocol definition And controls the communication unit to transmit the recommendation protocol information to the medical device when the user input unit receives a user input requesting the setting of the recommendation protocol information to the medical device ≪ / RTI >

A computer program product comprising a computer-readable recording medium of the present disclosure includes an operation of determining an external medical device to be communicatively coupled with an electronic device, an operation of receiving from the determined medical device predetermined scan protocol information to the medical device Receiving, from an external medical information management server, recommended protocol information that can be set in the medical device; comparing the predetermined scan protocol information and the recommendation protocol information so that the user can compare the preset scan protocol information and the recommendation protocol information; And transmitting the information of the recommendation protocol to the medical device based on a user input requesting the setting of the recommendation scan protocol information to the medical device so that the electronic device can perform the operation Include the set commands It includes a computer program product comprising a computer readable recording medium.

A system including a medical device and a computer program product of the present disclosure includes an operation of determining an external medical device to communicate with an electronic device, an operation of receiving from the determined medical device a predetermined scan protocol information to the medical device, Receiving, from the medical information management server of the medical information management server, recommended protocol information that can be set in the medical device, the preset protocol information and the recommended protocol information so that the user can compare the preset scan protocol information and the recommended protocol information, And transmitting the recommendation scan protocol information to the medical device based on the user input requesting the setting of the recommendation scan protocol information to the medical device, Include the commands A computer program product including a computer readable recording medium and a medical device for setting the recommendation scan protocol information, wherein the medical device comprises: an image acquisition unit capable of acquiring a medical image; A processor that controls the image acquisition unit and the communication unit, and a memory electrically connected to the processor, wherein the memory is configured such that, when the medical device is in operation, the processor causes the medical device to perform a predetermined scan Controlling the communication unit so that protocol information is provided to the electronic device, controlling the communication unit to receive recommendation scan protocol information from the electronic device based on the preset scan protocol information, To the medical device Updating the protocol information, and characterized in that it includes instructions for controlling the image pickup unit is medical imaging according to the updated scan protocol information to be acquired.

An electronic device for providing configuration information to a medical device associated with an image scan in accordance with an embodiment includes at least one processor; And a memory electrically coupled to the at least one processor, the memory including: the at least one processor obtaining a list of a plurality of configuration information corresponding to the testee's information and the identification information of the medical device; Determining first setting information as recommendation information from a list of the plurality of setting information based on a negative index indicating a degree of negatively affecting the testee; And displaying the first setting information determined as the recommendation information on a display.

There is provided a method of providing configuration information relating to image scanning to a medical device, the method comprising: acquiring a list of a plurality of setting information corresponding to information on an examinee and identification information of the medical device step; Determining first setting information as recommendation information from a list of the plurality of setting information based on a negative index indicating a degree of negatively affecting the testee; And displaying the first setting information determined as the recommendation information on the display.

There is provided a computer program product including a computer readable storage medium according to an embodiment, the storage medium including: a list of a plurality of pieces of setting information corresponding to information of a testee and identification information of a medical device; Determining first setting information as recommendation information from a list of the plurality of setting information based on a negative index indicating a degree of negatively affecting the testee; And displaying the first setting information determined as the recommendation information on the display.

According to the present disclosure, it is possible to set optimal scan protocol information at the time of capturing a medical image, and it is possible to obtain medical images of improved quality.

In addition, since the user can set the scan protocol information via the electronic device, the user can set the scan protocol of the medical device in the scan room without moving to the operation room where the console is located, The flow can be shortened. In particular, in an emergency, an immediate scan protocol can be set in the vicinity of a patient, enabling quick response and continuous observation of the patient and providing a sense of security to the patient.

In addition, since the electronic device performs the function of the console, a new working environment can be realized without discriminating between the operation room and the scan room, and the scan protocol of a plurality of medical devices can be set by one electronic device, have.

In addition, the effects obtainable or predicted by the embodiments of the present disclosure will be directly or implicitly disclosed in the detailed description of the embodiments of the present disclosure. For example, various effects predicted according to embodiments of the present disclosure will be disclosed within the following detailed description.

1 is a diagram illustrating a system for providing scan protocol information to a medical device in accordance with an embodiment of the present disclosure;
2A to 2D are diagrams illustrating a process by which an electronic device according to an embodiment of the present disclosure provides scan protocol information to a medical device.
Figures 3A-B are diagrams illustrating embodiments in which an electronic device according to an embodiment of the present disclosure determines scan protocol information to transmit to a medical device.
6 to 8 are flowcharts illustrating a process of providing scan protocol information to a medical device according to an embodiment of the present disclosure.
9 is a diagram illustrating a system for providing scan protocol information to a medical device according to another embodiment of the present disclosure;
10A and 10B are block diagrams for explaining an electronic device according to an embodiment of the present disclosure.
11 is a block diagram illustrating a medical device according to an embodiment of the present disclosure.
12 and 13 are diagrams for explaining a system for generating a recommendation model (artificial intelligence model: AI model) according to an embodiment.
Fig. 14 is a diagram for explaining an operation in which an electronic device according to an embodiment stores a recommended model. Fig.
15 is a flowchart illustrating a method of providing an electronic device according to an embodiment to a medical device with configuration information related to an image scan.
16 is a flowchart for explaining a method for an electronic device according to an embodiment to acquire a list of a plurality of pieces of configuration information from a medical information management server;
FIG. 17 is a flowchart illustrating a method of determining recommendation information by the medical information management server according to an embodiment.
18 is a flowchart illustrating a method of recommending a first scan protocol to an x-ray apparatus based on an exposure dose of an electronic device according to an embodiment.
19 is a diagram for explaining an operation in which an electronic device according to an embodiment obtains a list of a plurality of scan protocols using an AI model.
20 is a diagram for explaining an operation in which an electronic device according to an embodiment displays recommendation information.
FIG. 21 is a diagram for explaining an operation of providing an electronic device according to an embodiment together with setting information predefined in the medical device and recommended setting information; FIG.
22 is a diagram for explaining an operation in which an electronic device according to an embodiment provides personalized learning data of a user to a medical information management server.
23 is a diagram for explaining an operation in which an electronic device according to an embodiment provides a different recommended setting parameter for each user.
24 is a flowchart for explaining a method of providing setting information related to an image scan to an MRI apparatus based on an electromagnetic wave absorptivity (SAR) of an electronic apparatus according to an embodiment.
25 is a diagram for explaining an operation in which an electronic device according to an embodiment provides a GUI associated with an MRI apparatus.
26 is a diagram for explaining an operation of the electronic device according to the embodiment to display a list of scan protocols in the GUI.
Fig. 27 is a diagram for explaining an operation of the electronic device according to an embodiment for displaying the recommended setting parameters and the Electromagnetic Absorption Rate (SAR) in the GUI. Fig.
28 is a view for explaining a method by which an electronic device according to an embodiment provides setting information related to an image scan to an ultrasonic device.
FIG. 29 is a diagram for explaining an operation in which the electronic device according to an embodiment displays recommendation setting parameters based on the mechanical index (MI) or the heat generation index (TI).
30 is a view for explaining an operation of providing an electronic device according to an embodiment together with setting information predefined in the ultrasonic apparatus and recommendation setting information.

The specification sets forth the scope of the present disclosure and explains the principles of the present disclosure and discloses embodiments so that those skilled in the art will be able to practice the present disclosure. The disclosed embodiments may be implemented in various forms.

Like reference numerals refer to like elements throughout the specification. This specification does not describe all the elements of the embodiments, and duplicate contents of the general contents or embodiments in the technical field to which the present disclosure belongs. As used herein, the term " part " may be embodied in software or hardware, and may be embodied as a unit, element, or section, Quot; element " includes a plurality of elements. Hereinafter, the working principle and embodiments of the present disclosure will be described with reference to the accompanying drawings.

Herein, the image may include a medical image acquired by the medical device, and the medical device may include a magnetic resonance imaging (MRI) device, a computed tomography (CT) device, an ultrasound device, or an x-ray device , But is not limited thereto.

As used herein, the term " object " may include a person, an animal, or a part thereof as an object of photographing. For example, the object may comprise a part of the body (organ or organ) or a phantom.

As used herein, the term " user " may be, but is not limited to, a physician, a nurse, a clinician, a medical imaging expert, a radiologist, a sonographer, The " user " may also refer to another device (e.g., an artificial intelligence device) using a medical device.

1 is a diagram illustrating a system for providing scan protocol information to a medical device, in accordance with an embodiment of the present disclosure;

According to an embodiment of the present disclosure, the system 1 may include an electronic device 100, a plurality of medical devices 201, 202, 203, and a medical information management server 300. However, not all illustrated components are required. The system 1 may be implemented by more components than the components shown, or the system 1 may be implemented by fewer components.

Hereinafter, the components will be described in order.

The electronic device 100 refers to a device capable of providing scan protocol information to at least one of a plurality of medical devices 201, 202, 203.

The scan protocol refers to a scan method for identifying a lesion of a target object, and may be classified according to the region of the image, the type of the lesion, and the type of the medical device.

The scan protocol information may refer to information about a particular scan protocol. The scan protocol information may include a scan parameter type and a scan parameter value associated with each type.

The scan parameter type includes, for example, an applied voltage (kV), an applied power (mA), a pitch, a rotation time, a scan time, a start location, and may include at least one of an end location, a delay, a threshold, a contrast amount, a saline solution amount, and an injection rate, It is not limited.

The electronic device 100 may perform near field communication with at least one of the plurality of medical devices 201, 202, 203. The local area communication technology may be Wi-Fi, Bluetooth, BLE, Ultra Wideband, ZigBee, Near Field Communication (NFC), Wi-Fi Direct (WFD) , an infrared data association), but the present invention is not limited thereto.

Also, the electronic device 100 can perform wire / wireless communication with the server 300 via the network. The network may be a wired network such as a local area network (LAN), a wide area network (WAN) or a value added network (VAN), a mobile radio communication network, a near field A communication network) or a satellite communication network. The electronic device 100 may access the server 300 using account information or at least one of identification information (e.g., electronic device ID, serial number, or MAC address) of the electronic device 100. [

The electronic device 100 may be implemented in various forms. For example, the electronic device 100 may be a mobile phone, a smart phone, a laptop computer, a tablet PC, an electronic book terminal, a digital broadcast terminal, a PDA (personal digital assistant) And the like, but the present invention is not limited thereto. In particular, the electronic device 100 may be a portable mobile terminal. On the other hand, the electronic device 100 may be a wearable device.

1, the medical device may be a device that scans a target object according to a set value of a user to acquire a medical image. For example, the medical device includes a magnetic resonance imaging apparatus (or MRI apparatus) 201, a computed tomography apparatus (or CT apparatus) 202, an x-ray apparatus (or DR apparatus) (Not shown), but the present invention is not limited thereto.

The medical device may be configured to include a workstation (or console) for inputting a setting value for the user to take a medical image. The workstation can control the photographing apparatus that photographs the object according to the input set value. Further, the workstation may acquire and display a medical image photographed by the photographing apparatus.

When the medical device is configured to include a workstation, the electronic device 100 may communicate with a workstation included in the medical device, and may perform direct communication with the imaging device controlled through the workstation. For example, the workstation may receive scan protocol information provided by the electronic device 100. The workstation may transmit the received scanning protocol information to the imaging device so that the imaging device scans the object based on the scan protocol information. The photographing apparatus can be set according to the scan parameter value included in the received scan protocol.

Alternatively, if the medical device does not include a workstation, the electronic device 100 may transmit the scan protocol information directly to the imaging device.

The medical device may be implemented in various forms. For example, the medical device may be implemented in the form of a mobile terminal as well as a stationary terminal. The medical device may also be a smart phone, a laptop computer, a PDA or a tablet PC, etc., which perform the functions of a medical device.

The medical device may also perform near field communication with the electronic device 100. For example, the medical device may include a short range communication module (e.g., a Wi-Fi module, a Bluetooth module, a BLE, an Ultra Wideband module, a ZigBee module, , A WFD (Wi-Fi Direct) module, an IrDA (infrared data association) module, or the like) to perform short-range communication with the electronic device 100.

The medical information management server 300 may be a server that manages information related to the medical device. The medical information management server 300 can authenticate the information use right of the electronic device 100 and provide information related to the medical device to the authenticated electronic device 100. [ For example, the medical information management server 300 may transmit the recommendation scan protocol information that can be set to the medical device to the electronic device 100.

The medical information management server 300 may store a plurality of scan protocol information collected from a plurality of hospitals, other medical information management servers, physicians, or radiologists. In this case, the medical information management server 300 may retrieve the scan protocol information to be recommended to the medical device at the request of the electronic device 100, and may transmit the scan protocol information to the electronic device 100. [

According to one embodiment of the present disclosure, the electronic device 100 may determine a second medical device 202 from among a plurality of medical devices 201,202, 203 with a medical device in communication with the electronic device 100.

The electronic device 100 may receive 101 the predetermined scan protocol information from the determined second medical device 202 to the second medical device 202.

In addition, the electronic device 100 may receive the recommendable scan protocol information that can be set from the medical information management server 300 to the second medical device 202 (102).

The electronic device 100 may transmit information of a predetermined scan protocol (or information of a local scan protocol) 103a and recommendation scan protocol information (e.g., information of a local scan protocol) so that a user can compare predetermined scan protocol information and recommended scan protocol information 103b may be displayed together (103).

When a user input requesting setting of the recommendation scan protocol information from the user to the second medical device 202 is received, the electronic device 100 transmits the recommendation scan protocol information to the second medical device 202 based on the user input (104).

The second medical device 202 may receive a recommendation scan protocol from the electronic device 100.

The second medical device 202 may acquire a medical image according to the received recommendation scan protocol information (105).

Specifically, the second medical device 202 may update the preset scan protocol information in the second medical device 202 using the received recommended scan protocol information. Then, the second medical device 202 can acquire the medical image by photographing the object according to the updated scan protocol information.

According to various embodiments, the electronic device 100 may receive predetermined system configuration information from the second medical device 202 to the second medical device 202.

While the scan protocol information includes parameter values associated with the scan method of the object, the system setup information may include parameter values associated with the setting of peripheral devices (e.g., injectors, tubes, etc.) required for the scan. The parameter values associated with peripheral devices may include, but are not limited to, parameter values associated with injector setup, parameter values associated with x-ray tube setup, and the like.

The electronic device 100 may receive predetermined system configuration information from the second medical device 202 to the second medical device 202.

In addition, the electronic device 100 may receive recommendable system setting information that can be set from the medical information management server 300 to the medical device 202.

The electronic device 100 may display the preset system setting information and the recommended system setting information together so that the user can compare the preset system setting information and the recommended system setting information.

Next, when a user input requesting setting of the recommendation system setting information from the user to the second medical device 202 is received, the electronic device 100 transmits recommendation system setting information to the second medical device 202 ).

The second medical device 202 receiving the recommended system setting information can set peripheral devices according to the received recommended system setting information.

2A to 2D are diagrams illustrating a process by which an electronic device according to an embodiment of the present disclosure provides scan protocol information to a medical device.

2A, the electronic device 100 searches for a plurality of external medical devices that can communicate with each other, and displays a medical device list 210 including identification information corresponding to each of the plurality of external medical devices searched on the display Can be displayed. The identification information may include text, images, moving images representing a plurality of external medical devices, or a combination of two or more of them.

In one embodiment, when the electronic device 100 transmits a connection request signal (e.g., a broadcasting signal) to any of the medical devices, the at least one medical device capable of communicating with the electronic device 100 transmits a connection response signal . The electronic device 100 may identify the at least one medical device that transmitted the connection response signal to the searched medical device and display the medical device list 210 containing the identification information of the at least one medical device on the display.

Alternatively, the electronic device 100 may receive a connection request signal (e.g., a broadcasting signal) from any medical devices. In this case, if it is determined that the medical device that transmitted the connection request signal can communicate with the medical device, the electronic device 100 identifies the medical device that transmitted the connection request signal to the searched medical device, identifies the medical device that transmitted the connection request signal May display the medical device list 210 containing information on the display.

In this embodiment, the electronic device 100 is capable of searching for a communicatable medical device via near field communication. For example, the electronic device 100 can search for a medical device using at least one of Bluetooth, Wi-Fi Direct, Ultra Wideband (UWB), Zigbee, Bluetooth Low Energy (BLE) have.

In Fig. 2A, the identification information of the communicable medical devices and the identification information of the non-communicable medical devices can be visually distinguished. For example, the identification information 211, 212 of the communicatable medical devices includes indicators 211-1, 212-1 indicating that communication is possible, and the identification information 213, 214 of the non-communicable medical devices includes an indicator (213-1, 214-1).

When the medical device list 210 is displayed, the electronic device 100 selects the first identification information 211 among the identification information corresponding to each of the plurality of external medical devices included in the medical device list 210, Input can be received. The user input may be a touch input that touches the first identification information 211, for example. In FIG. 2A, the first identification information 211 selected by the user may be, for example, a text describing the mobile medical device (second medical device 202).

When the first identification information 211 is selected, the electronic device 100 communicates the medical device corresponding to the selected first identification information 211 (e.g., the second medical device 202) with the electronic device 100 It can be determined as a medical device. The electronic device 100 may perform a communication connection with the determined medical device (e.g., the second medical device 202). For example, when the electronic device 100 is in communication with the medical device in a Bluetooth manner, the electronic device 100 may perform a paging connection with the medical device.

In another embodiment, the electronic device 100 may determine a selected medical device based on a user's NFC tagging as a medical device in communication with the electronic device. For example, the user may access the electronic device 100 to the medical device (e.g., touch or tag the NFC tag). Accordingly, the authentication information stored in the NFC tag of the electronic device 100 can be transmitted to the medical device via short-range wireless communication. The medical device performs authentication on the authentication information, and can perform a communication connection with the electronic device 100 when authentication is successful.

In the above embodiment, when the electronic device 100 performs a communication connection with the medical device, the electronic device 100 transmits the communication connection information (e.g., SSID, IP address, MAC address, channel number, security key, Bluetooth address (Or establish) a communication link with the medical device based on the BT Address, the Product Name, the Profile information, and the like.

Once the medical device to communicate with the electronic device 100 is determined, the electronic device 100 may receive the preset scan protocol information in the medical device via the established communication link with the determined medical device.

In addition, the electronic device 100 may transmit at least one of the identification information of the medical device for which the communication connection is determined and the photographing information of the medical device to the external medical information management server 300. The photographing information of the medical device may include, for example, at least one of photographing site information or photographing lesion information of the object to be photographed by the medical device. The medical information management server 300 can search the electronic device 100 for a scan protocol to be recommended based on at least one of the identification information and the photographing information of the received medical device. The medical information management server 300 may transmit the identification information of the retrieved at least one recommended scanning protocol to the electronic device 100. [ In this case, the medical information management server 300 may transmit the recommendation scan protocol information corresponding to the identification information of the recommendation scan protocol to the electronic device 100 together.

In various embodiments, the medical information management server 300 may retrieve system configuration information to recommend to the electronic device 100 based on at least one of identification information and imaging information of the received medical device. The medical information management server 300 may transmit the identification information of the searched recommended system setting information to the electronic device 100. [ In this case, the medical information management server 300 may transmit the recommendation system setting information corresponding to the identification information of the recommendation system setting information to the electronic device 100 together.

In various embodiments, the electronic device 100 may transmit scan protocol information or system configuration information of the medical device to an external medical information management server 300. [ The medical information management server 300 may retrieve at least one recommended scan protocol or recommendation system setting information based on the received scan protocol information or the system setting information. The medical information management server 300 may transmit the identification information of at least one recommended scanning protocol or the recommended system setting information to the electronic device 100. [ In this case, the medical information management server 300 may transmit the recommendation scan protocol information corresponding to the identification information of the recommendation scan protocol or the recommendation system setting information corresponding to the identification information of the recommendation system setting information to the electronic device 100 .

The electronic device 100 receiving the identification information of at least one recommendation scan protocol from the medical information management server 300 generates a recommendation scan protocol list 230 including identification information of at least one recommendation scan protocol, May be displayed in the second area 112 of the display.

In this case, the scan protocol information 220 preset in the medical device may be displayed in the first area 111 of the display. In FIG. 2B, the scan protocol information 220 may be grouped into related scan parameter types. The groups 221 including scan parameter types may include, for example, a summary group that groups scan parameter types primarily used by radiologists, a scan group that groups parameter types related to scans, An auto tasking group that groups parameter types associated with the function, a contrast group, and a trigger group that groups parameter types related to cardiac imaging.

The summary group in FIG. 2B includes, for example, a scan type, an applied voltage (kV), an applied power (mA), a delay, a pitch, a start location, an end location, can do. In the scan type, the AP (anteroposterior) represents the scan direction (e.g., the head direction of the subject's head), and Axial can represent a cross-sectional view as a shooting type. The shooting type may be, for example, an axial direction, a helical direction, a dynamic axial direction, or the like. In this case, the scan parameter value 222 associated with each scan parameter type 221 preset in the medical device may be displayed in the first area 111. [

2B, in the first area 111, information 241 about the imaging site, information 242 about the medical device, information 243 about the object, and information about the posture of the object / (244) may be displayed together.

In various embodiments, the electronic device 100 may store a plurality of user interfaces, each corresponding to a plurality of types of medical devices. In this case, the electronic device 100 may select a user interface corresponding to the communicating medical device among the plurality of stored user interfaces. Then, the electronic device 100 can display the preset scan protocol information 220 received using the selected user interface. For example, the electronic device 100 may insert a predetermined scan parameter value 222 as an input value in a field area corresponding to each scan parameter type 221 of the determined user interface.

2B, the display area of the first area 111 in which the preset protocol information 220 is displayed and the second area 112 in which the recommended scan protocol list 230 is displayed are merely examples And the positions of the first area 111 and the second area 112 may be interchanged with each other according to the input of the user or may be divided into upper and lower parts. Alternatively, the predetermined protocol information 220 and the recommended scan protocol list 230 may be located on different screens. In this case, according to the user input, a screen displaying the preset protocol information 220 and a screen displaying the recommended scan protocol list 230 may be switched to each other.

2B, the electronic device 100 may receive a user input for selecting the identification information 231 of the first recommendation scan protocol included in the recommendation scan protocol list 230. [ The user input may be, for example, a touch input for touching the identification information 231. [

2C, the electronic device 100 transmits recommended scan protocol information 250 corresponding to the preset scan protocol information 220 and the identification information 231 of the selected first recommendation scan protocol And can be displayed together so that the user can compare them. For example, the electronic device 100 may display the preset scan protocol information 220 in the first area 111 of the display and the recommendation scan protocol information 250 in the second area 112 of the display .

Recommendation scan protocol information 250 may include, for example, types of scan parameters such as preset protocol information 220, and scan parameter values for each type.

Recommendation scan protocol information 250 may be received from an external medical information management server 300 based on a user input that selects identification information 231 of the recommendation scan protocol in FIG. 2B.

Alternatively, the recommendation scan protocol information 250 may include, in FIG. 2A, identification information 231 of the recommendation scan protocol based on a user input for selecting the identification information 211 of the medical device, ≪ / RTI >

In various embodiments, the electronic device 100 may select a user interface corresponding to the communicating medical device among the plurality of pre-stored user interfaces. The electronic device 100 may display the recommendation scan protocol information 250 received from the medical information management server 300 using the selected user interface.

Next, in FIG. 2C, the electronic device 100 may receive a user input requesting the setting of the recommendation scan protocol information 250 to the medical device. The user input may be, for example, a drag input that starts in the second area 112 in which the recommended scan protocol information 250 is displayed and ends in the first area 111 in which the preset scan protocol information 220 is displayed.

Based on the user input, the electronic device 100 may transmit the recommendation scan protocol information 250 to the second medical device 202, as shown in FIG. 2D.

The second medical device 202 receiving the recommendation scan protocol information 250 can take an object according to the received recommendation scan protocol information 250.

Figures 3A-B are diagrams illustrating embodiments in which electronic device 100 determines scan protocol information to send to a medical device, in accordance with an embodiment of the present disclosure.

Referring to FIG. 3A, the electronic device 100 may selectively retrieve identification information of a specific scan protocol in the recommendation scan protocol list 230 (230 of FIG. 2B).

For example, the electronic device 100 may receive a user input that uses a search field 311 to enter a keyword (e.g., John Doe) and select a search request object 312. The keywords may include, for example, the name of the radiologist with history setting the scan protocol information in the medical device of the same type as the communicating medical device, the identification information of the patient, the kind of the scan protocol, or the identification information of the hospital.

In various embodiments, the electronic device 100 may display a virtual keypad (not shown) on the display as a tool for entering keywords based on user input selecting the search field 311. The electronic device 100 may then display the keyword in the search field 311 based on the user input via the virtual keypad.

Based on the user input selecting the search request object 312, as shown in FIG. 3B, the electronic device 100 receives an updated recommendation scan protocol (PDU) including identification information of a recommendation scan protocol corresponding to a keyword (e.g., John Doe) The list 320 may be displayed in the second area 112 of the display. In this case, the electronic device 100 can continue to display the preset scan protocol information received from the medical device in the first area 111 of the display.

Next, based on the user input for selecting the identification information 321 of the first recommendation protocol in the updated recommendation scan protocol list 320, the electronic device 100 corresponds to the identification information 321 of the first recommendation protocol Can be displayed on the screen together with the preset scan protocol information.

4A and 4B, the electronic device 100 may transmit only at least a portion of the scan parameter values included in the recommendation scan protocol information 250 (250 in FIG. 2C) to the second medical device 202. In FIG.

For example, in FIG. 4Aa, the electronic device 100 may receive a user input that selects some of the scan parameter values 251, 252 included in the recommended scan protocol information 250. The user input may be, for example, a touch input that touches some of the scan parameter values 251, 252.

Based on the user input, the electronic device 100 may highlight and display the selected scan parameter values 251, 252. At this time, highlighting and displaying may mean that the selected scan parameter values are visually distinguished from other unselected scan parameter values. For example, the color, contrast, text thickness, background color, etc. of the scan parameter values 251 and 252 can be displayed separately.

4B, the electronic device 100 may receive user input requesting the setting of the scan parameter values 251, 252 selected by the medical device. The user input is terminated in the first area 111, which starts in the second area 112 in which the selected scan parameter values 251 and 252 are displayed and the preset scan protocol information 220 (220 in FIG. 2C) is displayed It can be a drag input.

4C, the electronic device 100 selects one of the scan parameter types included in the scan protocol information 220 (220 in FIG. 2C), a scan corresponding to the selected scan parameter values 251 and 252 It is possible to update the values (e.g., 40) of the parameter types (e.g., AP, Axial) with the selected scan parameter values (e.g., 10) and display the updated scan parameter values 223,224 on the display.

At this time, the electronic device 100 can highlight and display the updated scan parameter values 223, 224.

4D, the electronic device 100 may display a pop-up screen 410 that confirms whether to apply the updated scan parameter values 223, 224 to the medical device.

The electronic device 100 receives a user input that identifies the scan protocol types 411 and 412 to be updated via the pop-up screen 410 and requests the setting of updated scan parameter values 223 and 224 to the medical device . The user input may be a touch input that touches the acceptance object 413 of the pop-up screen 410, for example.

Based on the user input, the electronic device 100 may send updated scan parameter values 223, 224 contained in the scan parameter information 220 to the medical device (e.g., the second medical device 202).

5A and 5B, the electronic device 100 may change the scan parameter value to be transmitted to the medical device.

For example, in FIG. 5A, the electronic device 100 may display updated scan parameter information 510 in the first area 111. FIG. For example, in FIG. 2C, based on the drag input of the user, the electronic device 100 displays predetermined scan parameter information 220 displayed in the first area 111 as recommendation scan parameter information 250), and display the updated scan parameter information 510 on the display.

In this case, the electronic device 100 selects the recommended scan parameter value 511 to be changed in the updated scan parameter information 510, changes the recommended scan parameter value 511 to the new scan parameter value 512 And may receive user input selecting the applied object 513.

5B, the electronic device 100 may display and display the updated scan parameter information 510 including the changed scan parameter value 512. In this case,

Next, based on the user input requesting the setting of the updated scan parameter information 510 to the medical device, the electronic device 100 updates the updated scan parameter information 510 including the changed scan parameter value 512 Medical device.

6 is a flow diagram illustrating a process for providing scan protocol information to a medical device according to an embodiment of the present disclosure.

First, the electronic device 100 may acquire predetermined scan protocol information or system setting information from the medical device (601).

The electronic device 100 establishes a communication connection with the server (e. G., The medical information management server 300) and downloads recommended scanning protocol information or recommendation system configuration information from the server (602).

Next, based on the input of the user requesting application of the recommendation scan protocol information and the recommendation system setting information to the medical device, the electronic device 100 transmits the downloaded recommended recommendation scan protocol information or recommendation system setting information to the medical device (603).

The medical device can reset the preset parameter values using the received recommended scan protocol information or the system setting information (604).

7 is a flow diagram illustrating a process of providing scan protocol information to a medical device according to another embodiment of the present disclosure;

First, the electronic device 100 may determine 701 whether a communication connection with a server (e.g., the medical information management server 300) is established.

If it is determined that the communication connection has been established, the electronic device 100 may determine 702 whether there is recommended scanning protocol information or recommendation system setting information in the database of the server.

If the recommended scan protocol information or the system setting information exists, the electronic device 100 may download the recommended scan protocol information or the setting of the recommended system setting information from the server (703).

Next, based on the user input requesting application of recommendation scan protocol information or recommendation system setup information to the medical device, the electronic device 100 may apply recommendation scan protocol information or recommendation system setup information to the medical device (704).

The medical device may update (705) the preset parameter values using the received recommendation scan protocol information or recommendation system setting information.

Next, based on the re-set recommendation scan protocol information or the recommendation system setting information, the medical device can start taking a medical image (706).

8 is a flow diagram illustrating a process for providing scan protocol information to a medical device according to another embodiment of the present disclosure.

First, the electronic device 100 may determine an external medical device to communicate with the electronic device 100 (801).

For example, the electronic device 100 may search for a plurality of external medical devices and display a list of medical devices including identification information corresponding to each of the plurality of retrieved medical devices. Then, the medical device corresponding to the identification information selected by the user in the medical device list can be determined as the medical device to be communicatively connected with the electronic device. Alternatively, the electronic device 100 may determine the selected medical device based on the NFC tagging of the user as the medical device to communicate with the electronic device 100 in communication.

The electronic device 100 may receive from the determined medical device, 802, preset scan protocol information for the medical device.

For example, the electronic device 100 may display a recommendation scan protocol list that includes identification information of at least one recommended scan protocol. Then, when a user input for selecting the identification information of the one-recommendation scan protocol is received from the recommendation scan protocol list, the electronic device 100 transmits a recommendation corresponding to the identification information of the recommendation scan protocol and the preset scan protocol information, The scan protocol information can be displayed together.

In addition, the electronic device 100 may receive scan protocol information settable to the medical device from the external medical information management server 300 (803).

For example, the electronic device 100 may transmit at least one of the identification information of the medical device and the photographing information of the medical device to the external medical information management server 300. Then, based on at least one of the identification information of the medical device and the photographing information of the medical device, the electronic device 100 can receive from the medical information management server 300 at least one recommendation protocol information that can be set in the medical device .

In this case, operations 802 and 803 may be performed simultaneously or substantially simultaneously, and operation 803 may be performed prior to operation 802. [

The electronic device 100 may display 804 the preset scan protocol information and the recommended scan protocol information together so that the user can compare the preset scan protocol information and the recommended scan protocol information.

For example, the electronic device 100 may select a user interface corresponding to a determined one of a plurality of user interfaces corresponding to each of a plurality of types of medical devices. Then, the electronic device 100 can display predetermined scan protocol information using the selected user interface.

Next, the electronic device 100 may determine 805 whether a user input requesting the setting of the recommendation scan protocol information is received.

If a user input is received, the electronic device 100 may transmit the recommendation scan protocol information to the medical device (806).

For example, the electronic device 100 may transmit only some of the scan parameter values of the plurality of recommended scan parameter values to the medical device. Alternatively, if a user input is received that alters the recommended scan parameter value of at least one of the plurality of recommended scan parameter values, the electronic device 100 may send recommendation protocol information including the changed recommended scan parameter value to the medical device .

9 is a diagram illustrating a system for providing scan protocol information to a medical device, according to another embodiment of the present disclosure.

According to an embodiment of the present disclosure, the system 2 may include a plurality of medical devices 901, 902, 903 and a medical information management server 300.

A description of the plurality of medical devices 901, 902, 903 and the medical information management server 300 will not be repeated, corresponding to the plurality of medical devices 201, 202, 203 and the medical information management server 300 of FIG.

9, one of the plurality of medical devices 901, 902, and 903 operates as a host and communicates with the medical information management server 300, and the other medical devices operate as a slave, And can communicate over a network. In this case, a medical device acting as a host may be a medical device having a display for providing a user interface.

The medical device operating as a host can perform wire / wireless communication with the medical information management server 300 via a network. In this case, an example of a network that can communicate with the medical information management server 300 is the same as the example of the network in which the electronic device 100 of Fig. 1 can communicate with the medical information management server 300, and duplicate description is omitted. In addition, the medical device operating as a host can perform wired / wireless communication with other medical devices through a local network. For example, a medical device acting as a host may perform near-field communication with other medical devices. An example of the short-range communication is the same as that of the short-range communication in which the electronic device 100 of FIG. 1 can communicate with the medical device.

In Fig. 9, assuming that the first medical device 901 is a host, the first medical device 901 may determine the second medical device 902 from among the other medical devices 902,903 to communicate with.

For example, the first medical device 901 may send a connection request signal upon transmission of a broadcasting signal, or may determine a second medical device 902 that is selected based on the NFC tagging of the user to communicate with the medical device. An example in which the first medical device 902 decides to target the second medical device 902 to communicate is shown in Figure 2A as corresponding to an example in which the electronic device 100 determines a medical device to provide scan protocol information Duplicate description is omitted.

The first medical device 901 may receive 911 the preset scan protocol information from the second medical device 902 to the second medical device 902 if the second medical device 902 to be communicated is determined, .

In addition, the first medical device 901 may receive recommended scan protocol information that can be set from the medical information management server 300 to the second medical device 902 (912).

The first medical device 901 may display 913 the information of the preset scan protocol together with the recommendation scan protocol information so that the user can compare the preset scan protocol information and the recommended scan protocol information. For example, the first medical device 901 may receive information of a predetermined scan protocol and a recommended scan protocol through a display provided in the imaging device of the first medical device 901 or a display provided in the console of the first medical device 901. [ Information can be displayed together.

Next, when a user input requesting setting of the recommendation scan protocol information from the user to the medical device 902 is received, the first medical device 901 transmits the recommended scan protocol information to the second medical device 902 (914).

The second medical device 902 receiving the recommendation scan protocol information can acquire the medical image according to the received recommendation scan protocol information (915).

10A and 10B are block diagrams for explaining an electronic device according to an embodiment of the present disclosure.

The electronic device 1000 of Figs. 10A and 10B may correspond to the electronic device of Figs. 1-9.

10A, an electronic device 1000 includes a display 1010, a communication unit 1020, a user input 1030, a processor 1040, and a memory 1050, in accordance with one embodiment of the present disclosure. . However, not all illustrated components are required. The electronic device 1000 may be implemented by more components than the components shown, and the electronic device 1000 may be implemented by fewer components. For example, the electronic device 1000 may further include a sensing unit 1060 and an A / V input unit 1070 in addition to the above components. 10B, the electronic device 1000 may also be comprised of a processor 1040 and a memory 1050. [

Hereinafter, the components will be described in order.

The display 1010 displays and outputs the information processed in the electronic device 1000. For example, the display 1010 may display the preset scan protocol information received from the medical device and the recommended scan protocol information received from the medical information management server 300 together. In addition, the display 1010 may display a UI (User Interface) or GUI (Graphic User Interface) associated with the call when the electronic device 1000 is in the call mode.

In the case where the display 1010 and the touch panel have a layer structure and are configured as a touch screen, the touch screen can be used as an input device in addition to the output device. The display 1010 may be a liquid crystal display, a thin film transistor-liquid crystal display, an organic light-emitting diode, a flexible display, a three-dimensional display display, and electrophoretic display.

In one embodiment, the display 1010 may display the scan protocol information preset in the medical device and the recommendation scan protocol information received from the medical information management server 300 together.

The communication unit 1020 may include one or more components for communicating with at least one of the medical device and the medical information management server 300. [ For example, the communication unit 1020 may include a short-range communication unit 1021 and a mobile communication unit 1022. [

The short range communication unit 1021 includes a Bluetooth communication module, a BLE (Bluetooth Low Energy) communication module, a short range wireless communication module (NFC / RFID module), a WLAN communication module, a Zigbee communication module, Data Association) communication module, a WFD (Wi-Fi Direct) communication module, an UWB (ultra wideband) communication module, an Ant + communication module, and the like.

The mobile communication unit 1022 transmits and receives radio signals to at least one of a base station, an external apparatus, and a medical information management server on a mobile communication network. Here, the wireless signal may include various types of data depending on a voice call signal, a video call signal, or a text / multimedia message transmission / reception.

In one embodiment, the short range communication unit 1021 can receive preset scan protocol information from the external medical device to the medical device under the control of the processor 1040. [ In addition, the mobile communication unit 1022 can receive recommendation scan protocol information settable by the medical device from the medical information management server 300 under the control of the processor 1040. [

Based on the user input requesting the setting of the recommendation scan protocol information, the short range communication unit 1021 can transmit the recommendation scan protocol information to the external medical device under the control of the processor 1040. [

The user input 1030 may receive a user input for controlling the electronic device 1000. The user input unit 1030 may include a key pad, a dome switch, a touch panel (contact type capacitance type, pressure type resistive type, infrared ray detection type, surface ultrasonic wave conduction type, integral type tension measurement type, A piezo effect method, etc.), a jog wheel, a jog switch, and the like, but is not limited thereto.

The touch panel may pass information to the processor 1040 about the user input. In addition, the touch panel may have various sensors inside or near the touch panel to detect the user's direct touch or proximity touch. In this case, the user input may be, for example, a touch input, a tap input, a touch & hold input, a double tap input, a drag input, a panning input, a flick input, a drag and drop input, a swipe input,

The processor 1040, and the electronic device 1000. [ For example, the processor 1040 may include a display 1010, a communication unit 1020, a user input unit 1030, a sensing unit 1060, and an A / V input unit 1070 by executing programs stored in the memory 1050. [ And so on. The processor 1040 may be comprised of one or more processors. By way of example, processor 1040 may include one or more of a central processing unit, an application processor, a graphics processing unit (GPU), a camera image signal processor, or a communications processor.

In one embodiment, the processor 1040 is configured to communicate with the communication unit 1020 such that the scan protocol information preset in the medical device is received from the medical device, and the recommended protocol information configurable to the medical device is received from the medical information management server 300 Can be controlled. Next, the processor 1040 may control the display 1010 to display the preset scan protocol information and the recommended scan protocol information together. Next, the processor 1040 controls the communication unit 1040 to transmit the recommended protocol information to the medical device, based on the user input that the user input unit 1030 requests the setting of the recommendation protocol information to the medical device received by the user input unit 1030 1020). ≪ / RTI >

The memory 1050 may store programs or instructions for processing and controlling the processor 1040 and may store input / output data. The memory 1050 may be a flash memory type, a hard disk type, a multimedia card micro type, a card type memory (e.g., SD or XD memory), a RAM (Random Access Memory) SRAM (Static Random Access Memory), ROM (Read Only Memory), EEPROM (Electrically Erasable Programmable Read-Only Memory), PROM (Programmable Read-Only Memory) , An optical disc, and the like. In addition, the electronic device 1000 may operate a web storage or a cloud server that performs a storage function of the memory 1050 on the Internet.

In one embodiment, the memory 1050 may be configured such that upon execution of the processor 1040, scan protocol information preset in the medical device from the medical device is received, and a recommendation Controls the communication unit 1020 to receive the protocol information and controls the display 1010 to display the preset scan protocol information and the recommended scan protocol information together so that the user can compare the preset scan protocol information and the recommendation protocol information And instructions for controlling the communication unit 1020 to transmit the recommendation protocol information to the medical device when the user input unit 1030 receives the user input requesting the setting of the recommendation protocol information to the medical device.

The memory 1050 also includes a display 1010 for displaying a list of medical devices that, when executed, causes the processor 1040 to search for a plurality of external medical devices and to include identification information corresponding to each of the plurality of retrieved medical devices And determining a medical device corresponding to the identification information selected by the user in the list of medical devices to be the medical device to communicate with the electronic device 1000 in connection therewith.

In addition, the memory 1050 may include instructions that, when executed, cause the processor 1040 to determine, at execution, a selected medical device based on a user's NFC tagging, as a medical device to communicate with the electronic device 1000 in communication.

The memory 1050 also controls the display 1010 to display a list of recommended scan protocols containing the identification information of at least one recommended scan protocol when the processor 1040 is running, When the user input unit 1030 receives a user input for selecting the identification information of the recommendation scan protocol, the display unit 1010 displays the recommendation scan protocol information corresponding to the preset scan protocol information and the recommendation scan protocol identification information together ≪ / RTI >

In addition, the memory 1050 may be configured so that the processor 1040, when executed, selects a user interface corresponding to the determined medical device out of a plurality of user interfaces corresponding to the types of the plurality of medical devices, And control the display 1010 so that the preset scan protocol information is displayed using the scan protocol information.

The memory 1050 controls the communication unit 1020 so that at least one of the identification information of the medical device and the photographing information of the medical device is transmitted to the external medical information management server 300 at the time of execution of the processor 1040 And instructions for controlling the communication unit (1020) so that at least one recommended protocol information settable in the medical device is received from the medical information management server (300) based on at least one of the identification information of the medical device and the photographing information of the medical device Lt; / RTI >

In addition, when the recommended scan protocol information includes a plurality of recommended scan parameter values, the memory 1050 may be configured to cause the processor 1040 to transmit only a portion of the scan parameter values of the plurality of recommended scan parameter values And may include instructions for controlling the communication unit 1020.

In addition, when the recommendation scan protocol information includes a plurality of recommended scan parameter values, the memory 1050 may be configured to allow the processor 1040 to change at least one recommended scan parameter value of the plurality of recommended scan parameter values When the user input is received by the user input unit 1030, the recommendation protocol information including the changed recommended recommendation parameter value may be transmitted to the medical device.

The memory 1050 includes an operation in which the processor 1040 obtains a list of a plurality of pieces of setting information corresponding to the testee's information and the identification information of the medical apparatus; Determining, as recommendation information, the first setting information from the list of the plurality of setting information based on a negative index indicating a degree of negatively affecting the examinee; And displaying the first setting information determined as the recommendation information on the display.

The memory 1050 further includes an instruction to cause the processor 1040 to perform an operation of determining a recommendation information as a first scan protocol having a smallest negative index value among the scan protocols included in the list of the plurality of setup information can do.

The memory 1050 may be configured such that the processor 1040 obtains the second configuration information predefined in the medical device from the medical device; And displaying the first setting information and the second setting information together.

In addition, the memory 1040 may be configured to cause the processor 1040 to perform an operation of providing information on a first negative index corresponding to the first setting information and information on a second negative index corresponding to the second setting information And the like.

The sensing unit 1060 may sense a state of the electronic device 1000 or a state around the electronic device 1000 and may transmit the sensed information to the processor 140. [

The sensing unit 1060 may include at least one of a magnetic sensor, an acceleration sensor, a temperature / humidity sensor, an infrared sensor, a gyroscope sensor, a position sensor (e.g., GPS), a pressure sensor, and an illuminance sensor. However, the present invention is not limited thereto.

An A / V (Audio / Video) input unit 1070 is for inputting an audio signal or a video signal, and may include a camera, a microphone, and the like.

11 is a block diagram illustrating a medical device according to an embodiment of the present disclosure.

The medical device 1100 of Fig. 11 may correspond to the medical device of Figs. 1-9.

11, the medical device 1100 may include a communication unit 1110, an image acquisition unit 1120, a processor 1130, and a memory 1140, according to one embodiment of the present disclosure . In addition, according to one embodiment of the present disclosure, the medical device 200 may further include a display 1150 and a user input 1160.

Hereinafter, the components will be described in order.

The communication unit 1110 may include one or more components for communicating with at least one of the electronic device and the medical information management server. For example, the communication unit 1110 may include a short-range communication module, a wired communication module, a mobile communication module, and the like.

The short-range communication module refers to a module for short-range communication within a predetermined distance. (WLAN), Bluetooth, BLE, UWB (Ultra Wideband), ZigBee, NFC (Near Field Communication), WFD (Wi-Fi Direct) infrared Data Association) may be used.

The wired communication module refers to a module for communication using an electrical signal or an optical signal. The wired communication technology according to an exemplary embodiment may include a pair cable, a coaxial cable, an optical fiber cable, an ethernet cable, have

The mobile communication module transmits and receives radio signals to at least one of the base station, the external device, and the medical information management server 300 on the mobile communication network.

In one embodiment, the communication unit 1110 may transmit the scan protocol information preset in the medical device 1100 to the electronic device 1000. Further, the communication unit 1110 can receive recommended scan protocol information from the electronic device 1000 to update the scan protocol information preset in the medical device 1100. [

The image acquiring unit 1120 can acquire a medical image relating to a target object. For example, the image acquiring unit 1120 may transmit an ultrasound signal from a body surface of a target toward a predetermined site in the body, and may obtain ultrasound images of the target object by using information of the ultrasound signals reflected from tissue in the body. Alternatively, the image acquiring unit 1120 may express the strength of an MR (Magnetic Resonance) signal for an RF (Radio Frequency) signal generated in a magnetic field having a specific intensity as a contrast, ). ≪ / RTI > Alternatively, the image acquiring unit 1120 may acquire a CT image or an X-ray image by irradiating the object with X-rays.

In one embodiment, if the scan protocol information preset in the medical device 1100 is updated to the recommended scan protocol information, the image acquisition unit 1120 can acquire the medical image related to the object according to the updated scan protocol information.

Processor 1130 controls the overall operation of medical device 1100. For example, the processor 1130 may execute the programs stored in the memory 1140 to control the communication unit 1110, the image acquisition unit 1120, the display 1150, and the user input unit 1160. The processor 1130 may be comprised of one or more processors. By way of example, processor 1130 may include one or more of a central processing unit, an application processor, a graphics processing unit (GPU), a camera image signal processor, or a communications processor.

In one embodiment, the processor 1130 may control the communication unit 1110 to transmit the scan protocol information preset in the medical device 1100 to the electronic device 1000. In addition, the processor 1130 may control the communication unit 1110 such that recommended scan protocol information is received from the electronic device 1000, based on the preset scan protocol information. The processor 1130 may update the scan protocol information preset in the medical device 1100 using the received recommended scan protocol information. The processor 1130 may control the image acquisition unit 1120 to acquire the medical image according to the updated scan protocol information.

The memory 1140 may store a program for processing the processor 1130 and may store input / output data (e.g., medical image data, testee information, probe information, body marker, etc.).

The memory 1140 may be a flash memory type, a hard disk type, a multimedia card micro type, a card type memory (e.g., SD or XD memory), a RAM (Random Access Memory) SRAM (Static Random Access Memory), ROM (Read Only Memory), EEPROM (Electrically Erasable Programmable Read-Only Memory), PROM (Programmable Read-Only Memory) , An optical disc, and the like. In addition, the medical device 1100 may operate a web storage or a cloud server that performs a storage function of the memory 1140 on the Internet.

The memory 1140 controls the communication unit 1110 so that the scan protocol information preset in the medical device 1100 is provided to the electronic device at the time of execution of the processor 1130, The control unit 1110 controls the communication unit 1110 to receive recommendation scan protocol information from the electronic device 1000, updates the scan protocol information preset in the medical device 1100 using the received recommendation scan protocol information, And controlling the image acquisition unit 1120 to acquire a medical image according to the scan protocol information.

Display 1150 displays information to be processed in medical device 1100. For example, the display 1150 may display a medical image or display a UI (User Interface) or a GUI (Graphic User Interface) associated with the control panel. In the case where the display 1150 and the touch panel have a layer structure and are configured as a touch screen, the touch screen can be used as an input device in addition to the device.

When the medical device 1100 is used as a host device capable of communicating with the medical information management server 300, the display 1150 displays the scan protocol information preset in the other medical device and the recommendation scan received from the medical information management server 300 Protocol information can be displayed together.

The user input 1160 may receive a user input for controlling the medical device 1100 by a user. For example, the user input unit 1160 may include a key pad, a dome switch, a touch pad (contact type capacitance type, pressure type resistive type, infrared ray detection type, surface ultrasonic wave conduction type, A tension measuring method, a piezo effect method, etc.), a track ball, a jog switch, and the like, but is not limited thereto.

The disclosed embodiments may be implemented in a software program that includes instructions stored on a computer-readable storage medium.

The computer may include an electronic device 1000 and a medical device 1100 in accordance with the disclosed embodiments as an apparatus capable of calling stored instructions from a storage medium and operating according to the disclosed embodiments in accordance with the called instructions .

The computer-readable storage medium may be provided in the form of a non-transitory storage medium. Here, 'non-temporary' means that the storage medium does not include a signal and is tangible, but does not distinguish whether data is stored semi-permanently or temporarily on the storage medium.

Furthermore, the method according to the disclosed embodiments may be provided in a computer program product. A computer program product can be traded between a seller and a buyer as a product.

The computer program product may include a computer readable storage medium having stored thereon a software program and a software program. For example, the computer program product may be a product of an S / W program that is electronically distributed through the electronic device 1000 or the manufacturer of the medical device 1100 or through an electronic market (e.g. Google Play Store, App Store) Download application). For electronic distribution, at least a portion of the S / W program may be stored on a storage medium or may be created temporarily. In this case, the storage medium may be a server of a manufacturer, a server of an electronic market, or a storage medium of a relay server for temporarily storing an SW program.

By way of example, a computer program product including a computer-readable recording medium may be operable to: determine an external medical device to communicate with an electronic device; receive predetermined scan protocol information from the determined medical device; Receiving the recommended protocol information from the medical information management server of the medical device, setting the recommended scan protocol information and the recommended scan protocol information so that the user can compare the preset scan protocol information and the recommended protocol information with each other Based on the user input requesting the setting of the recommendation scan protocol information to the medical device, the operation of transmitting the information of the recommendation protocol to the medical device is readable by a computer including instructions set to enable the electronic device to perform Lt; RTI ID = 0.0 > .

The computer program product may include a storage medium of a server (e.g., medical information management server 300) or a storage medium of the electronic device 1000, in a system comprised of the medical device 1100 and the electronic device 1000 have. The computer program product may include the S / W program itself transmitted from the server to the electronic device 1000 or the medical device 1100.

By way of example, a system including a medical device 1100 and a computer program product may be operable to determine an external medical device 1100 in communication with the electronic device 1000, from the determined medical device 1100, Receiving the preset scan protocol information from the external medical information management server 300, setting the recommended scan protocol information and the recommended protocol information to the medical device 1100, Based on the user input requesting the setting of the recommended scan protocol information to the medical device 1100 and the operation of displaying the preset protocol information and the recommended scan protocol information together so that the user can be comparable, To an apparatus 1100, a computer readable medium having instructions configured to enable an electronic device A computer program product including the recording medium having the recommended scanning protocol information, and a medical device 1100 for setting the recommended scanning protocol information.

At this time, the medical device 1100 includes an image acquisition unit for acquiring a medical image, a communication unit capable of communicating with the electronic device 1000, a processor for controlling the image acquisition unit and the communication unit, and a memory electrically connected to the processor, Controls the communication unit so that the electronic device (1000) is provided with the scan protocol information preset in the medical device (1100) at the time of execution of the processor, and based on the preset scan protocol information, Controls the communication unit to receive from the device, updates the scan protocol information preset in the medical device 1100 using the received recommendation scan protocol information, and controls the image acquisition unit to acquire the medical image according to the updated scan protocol information In one embodiment, electronic device 1000 includes an intelligent < RTI ID = 0.0 > Using (AI model) may also provide configuration information relating to the scanned image to the medical device (1100). Here, the setting information related to the image scan may include setting information recommended by the artificial intelligence model. For example, the configuration information associated with the image scan may include information about a recommended scan protocol, information about a plurality of configuration parameters included in the recommended scan protocol, and information about peripheral devices (e.g., injectors, tubes, etc.) Information about recommended parameters related to the setting, and the like, but the present invention is not limited thereto.

Hereinafter, an operation of the medical information management server 300 for generating an artificial intelligence model will be described with reference to FIGS. 12 and 13. FIG. Referring to FIG. 15, an operation of the electronic device 1000 to provide recommendation setting information related to image scanning using the artificial intelligence model will be described in detail.

12 and 13 are diagrams for explaining a system for generating a recommendation model (artificial intelligence model: AI model) according to an embodiment.

Referring to FIG. 12, the medical information management server 300 may be connected to a plurality of medical institution servers or medical devices. The medical information management server 300 may collect medical image information and information related to the medical image (hereinafter referred to as related information) obtained from a plurality of medical institutions. The medical information management server 300 may acquire medical image information and related information from a plurality of medical institution servers, and may acquire medical image information and related information from the medical devices. The related information may include setting information adjusted by the radiologist for image scanning.

For example, the medical information management server 300 receives a first medical image and first related information 1212 from a first x-ray apparatus (e.g., DR1: Digital radiography 1) 1211 located in the A hospital 1210, Can be collected. The medical information management server 300 may also collect the second medical image and the second related information 1222 from the second x-ray device (e.g., DR2) 1221 located in the B hospital 1220. [ The medical information management server 300 may collect the third medical image and the third related information 1232 from the third x-ray device (e.g., DR3) 1231 located at the C hospital 1230. [ According to one embodiment, the first x-ray device 1211, the second x-ray device 1221, and the third x-ray device 1231 may be devices of the same model.

According to one embodiment, the AI processor included in the medical information management server 300 can learn a neural network and generate a recommendation model for recommending a set value related to an image scan. 'Learning' an artificial neural network can mean making a mathematical model that enables optimal decision making by connecting the neurons constituting an artificial neural network, while changing the weights appropriately based on the data. According to one embodiment, the AI processor may be, but is not limited to, a Deep Neural Network processor that performs learning and reasoning operations through a neural network. The in-depth neural network processor may be fabricated as a dedicated hardware chip for artificial intelligence (AI), or as part of a conventional general-purpose processor (such as a CPU or application processor) or a graphics-only processor (such as a GPU) .

According to one embodiment, the medical information management server 300 receives the first medical image and the first related information 1212 collected from the first x-ray apparatus 1211, the second medical image from the second x-ray apparatus 1221, A recommendation model recommending a set value for the x-ray apparatus using the third medical image and the third related information 1232 collected from the third x-ray apparatus 1231 as training data, AI model) can be generated.

According to one embodiment, the medical information management server 300 can generate a recommendation model for recommending the setting information for each product model of the x-ray apparatus. At this time, the medical information management server 300 may generate a different recommendation model for each product model, or may generate one recommendation model for providing different recommendation information for each product model.

For example, the medical information management server 300 generates a first recommendation model for the first product model of the x-ray apparatus, a second recommendation model for the second product model of the x-ray apparatus, A third recommendation model for the third product model can be generated. Alternatively, the medical information management server 300 recommends the first setting information for the first product model of the x-ray apparatus, recommends the second setting information for the second product model, sets the third setting for the third product model One recommendation model that recommends information can be created.

According to an embodiment, the medical image acquired by the AI processor may be a number of medical images captured by specialized radiologists, and the related information may include setting information corresponding to the medical image. According to an embodiment, the medical image may include at least one of a CT image, an X-ray image, an MR image, and an ultrasound image, but is not limited thereto.

In FIG. 12, the case where the medical device 1100 is a digital x-ray device is described as an example, but the present invention is not limited thereto. For example, the medical information management server 300 may generate a recommendation model for the MRI apparatus by using the medical images collected from the plurality of MRI apparatuses and the related information as learning data. The medical information management server 300 may generate a recommendation model for the ultrasound device by using the ultrasound images collected from the plurality of ultrasound devices and the related information as learning data.

On the other hand, even in the same medical device, since the imaging frequency differs for each imaging site in each hospital, the AI processor included in the medical information management server 300 applies the weight of the medical image collected for each hospital differently , Artificial neural networks can be learned. For example, chest x-rays are often used for A-hospital (1210) and C-hospital (1230), and x-rays for cervical soft tissue can be used for C-hospital (1220) and D-hospital. In this case, the medical information management server 300 can mainly learn X-ray images collected at the A hospital 1210 and the C 1230 hospital to recommend the setting information for the chest X-ray imaging, The X-ray images collected at the B hospital 1220 and the D hospital can be mainly learned.

12, the medical information management server 300 generates a recommendation model. However, the present invention is not limited to this. According to one embodiment, a recommendation model may be generated in electronic device 1000. Referring to FIG. 13, the operation of the medical information management server 300 to generate a recommendation model will be described in more detail. According to one embodiment, the recommendation model may be generated by learning through a Deep Neural Network (DNN).

Referring to FIG. 13, an AI processor (e.g., a DNN processor) includes a medical image 1301, setting information 1302 related to scanning of the medical image 1301, subject information 1303, , Information on the inspector 1305, and the like can be acquired as learning data. The AI processor utilizes the setting information 1302 related to the scan of the medical image 1301, the medical image 1301, the subject information 1303, the information 1304 about the negative index, and the information 1305 about the examiner , And a recommendation model 1300 for recommending the setting information related to the image scan. The recommendation model 1300, as an artificial intelligence model, may include one hidden layer or may include two or more hidden layers.

According to one embodiment, the medical image 1301 acquired by the AI processor may be a professional radiologist or a number of medical images taken by doctors, and may include image quality information of each medical image. According to an exemplary embodiment, the medical image 1301 may include at least one of a CT image, an X-ray image, an MR image, and an ultrasound image, but is not limited thereto. According to one embodiment, the medical image 1301 may be a still image or a moving image.

According to one embodiment, the setting information 1302 related to the scan of the medical image 1301 includes a voltage value (Kvp value), a current value (mA value), an exposure time value (mSec value ), Exposure dose value (mAs value), use of automatic exposure control (AEC), collimator correction value, pitch value, TR (repetition time) value, TE (echo time) value, bandwidth, FOV but are not limited to, field of view values, frequency encoding, flip angle, slice thickness, and the like.

According to one embodiment, the subject information 1303 includes at least one of body weight information, age information, gender information, information on a test site, information relating to injection of a contrast agent (for example, information on injection of contrast agent, amount of injection of contrast agent) But is not limited thereto.

According to one embodiment, the negative index information 1304 may include information such as Dose, Specific Absorption Rate (SAR), Mechanical Index (MI) and Thermal Index (TI) But it is not limited thereto. Here, the negative index may mean an index indicating a degree of negative influence on the testee. The mechanical index (MI) is an index that quantifies the effects of ultrasound on the human body. There is also a thermal index (TI) in the index that quantifies the effect of ultrasound on the human body. As is commonly known, MI and TI's international acceptance criteria are MI below 1.9 and TI below 6.0.

According to one embodiment, the information 1305 about the inspector may include, but is not limited to, information about the hospital where the inspector works, identification information (e.g., ID) of the inspector, The inspector may be a radiologist, a sonographer, a doctor, or the like, but is not limited thereto, as a subject for conducting a medical image scan on the examinee. For example, the inspector may be an artificial intelligence robot.

According to one embodiment, the AI processor includes configuration information 1302 related to the scan of the medical image 1301, medical image 1301, subject information 1303, information 1304 about the negative index, information about the examiner 1302, It is possible to generate a recommendation model 1300 that recommends an optimum set value for lowering the negative index while maintaining image quality of a certain level or higher. According to one embodiment, the medical image 1301 collected by the AI processor and information related to the medical image (for example, setting information 1302 related to the scan, subject information 1303, information 1304 regarding the negative index, Information 1305 about the inspector) increases, the recommendation model 1300 for deriving the optimal image scan setting value can be modified or refined.

According to one embodiment, the AI processor may obtain personalized learning data 1306. [ Personalization learning data 1306 may be data on a preference value preferred by a user of electronic device 1000. [ The personalized learning data 1306 may include feedback information of the user on the setting information recommended by the recommendation model 1300. [ For example, if the user changes the third set value among the first set value, the second set value, and the third set value included in the scan protocol recommended by the recommendation model 1300 without accepting the third set value, , And acquire information on the changed third set value with the personalized learning data 1306. [

According to one embodiment, the AI processor includes configuration information 1302 related to the scan of the medical image 1301, medical image 1301, subject information 1303, information 1304 about the negative index, information about the examiner 1302, It is possible to generate the recommendation model 1300 for each individual by using the personalized learning data 1306 in addition to the personalized learning data 1305. In this case, the recommendation model 1300 can recommend a different set value for each inspector performing the same inspection for the same photographing site. The operation in which the recommendation model 1300 provides different recommendation information for each inspector will be described later in detail with reference to FIG.

Fig. 14 is a diagram for explaining an operation in which an electronic device according to an embodiment stores a recommended model. Fig.

Referring to FIG. 14, the medical information management server 300 may generate or refine a recommendation model 1300 that can perform learning and speculation operations through the DNN (S1410). Then, the medical information management server 300 can transmit the recommendation model 1300 to the electronic device 1000. According to one embodiment, the medical information management server 300 may transmit the recommendation model 1300 to the electronic device 1000 when the electronic device 1000 requests it. Alternatively, when the recommendation model 1300 is updated, the medical information management server 300 may transmit the recommendation model 1300 updated to the electronic device 1000.

According to one embodiment, the electronic device 1000 may download the recommendation model 1300 from the medical information management server 300 and store the recommendation model 1300 in the memory 1050. In this case, the electronic device 1000 can use the recommendation model 1300 stored in the memory 1050 to provide setting information related to image scanning to the medical device 1100.

According to one embodiment, the electronic device 1000 may provide the medical device 1100 with setting information related to image scanning, using the recommendation model 1300 stored in the medical information management server 300 . Hereinafter, a method of providing the setting information related to the image scan to the medical device 1100 in consideration of the negative index of the electronic device 1000 will be described in detail with reference to FIG.

15 is a flowchart illustrating a method of providing an electronic device according to an embodiment to a medical device with configuration information related to an image scan.

In step S1510, the electronic device 1000 can acquire a list of a plurality of pieces of setting information corresponding to the information of the testee and the identification information of the medical device 1100. [

According to one embodiment, the electronic device 1000 may obtain information of a testee from a hospital server connected to the electronic device 1000. For example, the electronic device 1000 may store information (e.g., chest, abdomen, shoulder, ankle, or wrist), weight information (e.g., 85 kg, etc.) about the test site corresponding to the testee's identification information, (For example, 30 years old), gender information (e.g., male), and the like from the hospital server. According to one embodiment, the hospital server may be a medical information management server 1300.

According to another embodiment, the electronic device 1000 may receive information of a testee from a user (e.g., radiologist). For example, the electronic device 1000 can receive a test site, weight, age, and the like of a testee from a user.

According to one embodiment, the electronic device 1000 may obtain identification information of the medical device 1100 via local communication from the medical device 1100. For example, the electronic device 1000 may obtain identification information from the medical device 1100 via NFC tagging. Alternatively, the electronic device 1000 may obtain identification information from the medical device 1100 via Bluetooth communication or Wi-Fi communication. The identification information of the medical device 1100 may include the type of the medical device 1100 (e.g., CT device, X-ray device, MRI device, ultrasound device, etc.), product model information of the medical device 1100, But is not limited thereto. According to another embodiment, the electronic device 1000 may obtain identification information of the medical device 1100 from a hospital server.

According to one embodiment, the electronic device 1000 uses the information of the subject to be examined and the identification information of the medical device 1100 to generate a list of a plurality of pieces of setting information corresponding to the information of the subject to be examined and the identification information of the medical device 1100 Can be obtained. For example, if the medical device 1100 is an x-ray device, the test subject's chest is a chest, and the weight of the testee is 85 kg, the electronic device 1000 includes a plurality of A list of setting information can be obtained.

According to one embodiment, the list of the plurality of setting information may include a plurality of scan protocols. At this time, each of the plurality of scan protocols may include a plurality of setting parameters.

According to an embodiment, each of the plurality of pieces of setting information may be setting information for causing the image quality of the medical image to be equal to or greater than a threshold value. For example, the electronic device 1000 may include at least two scan protocols, among the scan protocols corresponding to the testee's information and the identification information of the medical device 1100, such that the image quality of the medical image is greater than or equal to a threshold value By generating a list, a list of a plurality of pieces of setting information can be obtained.

The electronic device 1000 can obtain a list of a plurality of pieces of setting information through an artificial intelligence model (for example, the recommendation model 1300) learned based on the medical images photographed by the plurality of radiographs. According to one embodiment, the electronic device 1000 can obtain a list of a plurality of pieces of setting information by using the recommendation model 1300 stored in the memory 1050. [ For example, when the electronic device 1000 inputs the information of the examinee and the identification information of the medical device 1100 to the recommendation model 1300, the recommendation model 1300 may be a convolution (DNN) A list of a plurality of pieces of setting information corresponding to the information of the examinee and the identification information of the medical device 1100 can be obtained by an inference operation through the CNN (Convolution Neural Network).

According to one embodiment, when the recommended model 1300 is not stored in the memory 1050, the electronic device 1000 sends the information of the examinee to the medical information management server 300 and the identification information of the medical device 1100 A list of a plurality of corresponding setting information can be requested. An operation of the electronic device 1000 to obtain a list of a plurality of pieces of setting information from the medical information management server 300 will be described later with reference to FIG.

In step S1520, the electronic device 1000 can determine the first setting information as the recommendation information from the list of the plurality of setting information based on the negative index indicating the degree of negatively affecting the examinee. Here, the negative index may include at least one of an exposure dose, a specific absorption rate (SAR), a mechanical index (MI), and a thermal index (TI) It is not.

According to the embodiment, the electronic device 1000 can determine the first setting information having the lowest negative index predicted from the plurality of setting information included in the list as the recommendation information. For example, the electronic device 1000 can determine a predicted negative index (e.g., dose) for each scan protocol when scanning according to each of a plurality of scan protocols included in the list of the plurality of setting information. Then, the electronic device 1000 can determine the recommendation information as the first scan protocol having the smallest value of a negative index (e.g., dose) predicted among the plurality of scan protocols.

According to one embodiment, the electronic device 1000 may determine two or more pieces of configuration information in which the predicted negative index falls within the critical range, as recommendation information. For example, among the plurality of scan protocols included in the list of the plurality of setting information, the electronic device 1000 may include a first scan protocol in which a predicted negative index exists between a first threshold value and a second threshold value, 2 scan protocol can be determined as the recommended scan protocol.

In step S1530, the electronic device 1000 can display on the display 1010 the first setting information determined as the recommendation information. For example, when the first setting information is the first scan protocol, the electronic device 1000 may display on the display 1010 the first setting parameters included in the first scan protocol or the first scan protocol.

According to one embodiment, the electronic device 1000 may mark first setting information on a list of a plurality of pieces of setting information. For example, the electronic device 1000 can display a visual indicator for the first setting information so that the first setting information is identified on the list of the plurality of setting information. For example, the electronic device 1000 may display the first setting information in bold, display a border line around the first setting information, or display the color of the first setting information differently from other setting information. Alternatively, the electronic device 1000 may mark a particular type of identification image (e.g., a star, an arrow, a circle, a finger, etc.) near the first setting information.

On the other hand, according to one embodiment, the electronic device 1000 acquires the second setting information predefined in the medical device 1100 from the medical device 1100, and displays the first setting information and the second setting information together You may. Hereinafter, for convenience of explanation, the first setting information may be represented by the recommendation setting information, and the second setting information may be represented by the current setting information.

According to one embodiment, the electronic device 1000 may obtain the second setting information predefined in the medical device 1100 via local communication from the medical device 1100. [ For example, electronic device 1000 may obtain, via NFC tagging, second configuration information previously defined in medical device 1100, but is not limited thereto. For example, electronic device 1000 may obtain second configuration information predefined in medical device 1100 from medical device 1100 via Bluetooth communication or Wi-Fi communication.

According to one embodiment, the electronic device 1000 is provided with the information on the first negative index corresponding to the first setting information (recommended setting information) and the second negative index corresponding to the second setting information (the current setting information) May also be provided. For example, the electronic device 1000 may calculate the second electromagnetic wave absorption rate estimated based on the first electromagnetic wave absorption rate and the second setting information predicted when the MR scan is performed according to the first setting information, The absorption rate of the human body can be displayed together.

In steps S1540 and S1550, when receiving a user input for approving the first configuration information, the electronic device 1000 may transmit the first configuration information to the medical device 1100. [

According to one embodiment, the electronic device 1000 may transmit first configuration information to the medical device 1100 via short-range communication. For example, the electronic device 1000 may transmit first configuration information to the medical device 1100 via NFC, Bluetooth communication, or Wi-Fi communication.

According to another embodiment, when the medical device 1100 forms a communication link with the medical information management server 300, the electronic device 1000 transmits the first setting information to the medical device 1000 through the medical information management server 300. [ (1100). For example, when the electronic device 1000 transmits a signal relating to a user input for approving the first setting information to the medical information management server 300, the medical information management server 300 transmits the first setting information to the medical device 1100 Setting information can be transmitted.

According to one embodiment, if the user input to acknowledge the first configuration information is not received within a predetermined time, the electronic device 1000 may not transmit the first configuration information to the medical device 1100. [

According to one embodiment, when an input to modify the first configuration information is received, the electronic device 1000 may transmit the modified first configuration information to the medical device 1100. [ In addition, the electronic device 1000 can transmit information on the input for modifying the first setting information to the medical information management server 300. [ At this time, the medical information management server 300 may use the information about the input for modifying the first setting information as the personalization learning data 1306 for refining the recommendation model 1300. [

According to one embodiment, some of the steps S1510 to S15510 of Fig. 15 may be omitted, and the order of some of the steps may be changed. For example, steps S1540 and S1550 may be omitted depending on the embodiment.

Meanwhile, the electronic device 1000 may provide setting information related to image scanning to the medical device 1100 in cooperation with the medical information management server 300. 16 and 17, the operation of the electronic device 1000 to provide the medical device 1100 with setting information related to image scanning using the artificial intelligence model of the medical information management server 300 will now be described with reference to Figs. Let's take a closer look.

16 is a flowchart for explaining a method for an electronic device according to an embodiment to acquire a list of a plurality of pieces of configuration information from a medical information management server;

In step S1600, the electronic device 1000 and the medical information management server 300 may form a communication link.

According to one embodiment, the electronic device 1000 transmits identification information of the electronic device 1000 or identification information of a user (for example, account information for login) to the medical information management server 300, Server 300, but is not limited thereto.

In step S1610, the electronic device 1000 can obtain the information of the testee and the identification information of the medical device 1100. [

According to one embodiment, the electronic device 1000 may obtain information of a testee from a hospital server connected to the electronic device 1000. For example, the electronic device 1000 may store information (e.g., chest, abdomen, shoulder, ankle, or wrist), weight information (e.g., 85 kg, etc.) about the test site corresponding to the testee's identification information, (For example, 30 years old), gender information (e.g., male), and the like from the hospital server.

According to another embodiment, the electronic device 1000 may receive information of a testee from a user (e.g., radiologist). For example, the electronic device 1000 can receive a test site, weight, age, and the like of a testee from a user. Also, the electronic device 1000 may receive the information of the testee through short-range communication from the mobile terminal of the testee.

According to one embodiment, the electronic device 1000 may obtain identification information of the medical device 1100 via local communication from the medical device 1100. For example, the electronic device 1000 may obtain identification information from the medical device 1100 via NFC, Bluetooth communication, or Wi-Fi communication. According to another embodiment, the electronic device 1000 may obtain identification information of the medical device 1100 from a hospital server.

In step S1620, the electronic device 1000 can transmit the testee's information and the identification information of the medical device 1100 to the medical information management server 300 via the communication interface. At this time, the electronic device 1000 may request the medical information management server 300 for a list of a plurality of pieces of setting information corresponding to the information of the subject to be examined and the identification information of the medical device 1100.

In step S1630, the medical information management server 300 can generate a list of a plurality of pieces of setting information corresponding to the information of the testee and the identification information of the medical device 1100. [

According to one embodiment, the medical information management server 300 can generate a list of a plurality of pieces of setting information by using an artificial intelligence model (e.g., the recommendation model 1300). The list of the plurality of pieces of setting information may include a plurality of scan protocols or system setting information. At this time, each of the plurality of scan protocols may include a plurality of setting parameters.

For example, the medical information management server 300 may input the information of the testee and the identification information of the medical device 1100 to the artificial intelligence model. The artificial intelligence model can output a plurality of pieces of setting information including the optimum set values according to the information of the testee and the type of the medical device 1100 as result data. The medical information management server 300 may generate a list including a plurality of pieces of configuration information output as result data in the artificial intelligence model.

In step S1640, the electronic device 1000 can receive from the medical information management server 300 a list of a plurality of pieces of setting information generated by the medical information management server 300 using the artificial intelligence model.

In step S1650, based on the negative index, the electronic device 1000 can determine the first setting information from the list of the plurality of setting information as the recommendation information.

For example, the electronic device 1000 can determine the first setting information having the lowest negative index predicted from the plurality of setting information included in the list as the recommendation information. Further, the electronic device 1000 may determine, as recommendation information, two or more pieces of setting information in which the predicted negative index falls within the critical range. For example, among the plurality of scan protocols included in the list of the plurality of setting information, the electronic device 1000 may include a first scan protocol in which a predicted negative index exists between a first threshold value and a second threshold value, 2 scan protocol can be determined as the recommended scan protocol. Since step S1650 corresponds to step S1520 in Fig. 15, a detailed description will be omitted.

In step S1660, the electronic device 1000 can display the first setting information as recommendation information. According to one embodiment, the electronic device 100 may display on the display 1010 configuration parameters included in the first configuration information or the first configuration information. According to another embodiment, the electronic device 1000 may display a list of a plurality of pieces of setting information and mark a visual indicator so that the first setting information is identified on the list of the plurality of pieces of setting information.

According to one embodiment, the electronic device 1000 may simultaneously display the second setting information previously defined in the medical device 1100 and the recommended first setting information. The electronic device 1000 may display together a first negative index corresponding to the first setting information and a second negative index corresponding to the second setting information. Since step S1660 corresponds to step S1530 in Fig. 15, a detailed description will be omitted.

In step S1670, the electronic device 1000 may receive a user input that acknowledges the first configuration information.

For example, the electronic device 1000 may include an input for touching the first setting information on the list, an input for touching the " approval button " for transmitting the first setting information to the medical device 1100, (E.g., a tagging input) that accesses the electronic device 1000 to display within a critical distance from the medical device 1100, and the like.

According to one embodiment, the electronic device 1000 may not transmit the first configuration information to the medical device 1100 if a user input that acknowledges the first configuration information is not received within a predetermined time.

In step S1680, the electronic device 1000 may transmit the first setting information to the medical device 1100 when a user input for accepting the first setting information is received.

For example, the electronic device 1000 may transmit first configuration information to the medical device 1100 via short-range communication. Step S1680 corresponds to step S1550 in FIG. 15, and therefore, a detailed description thereof will be omitted.

In step S1690, the medical device 1100 receives the first setting information from the electronic device 1000, and can apply the first setting information to the test image of the examinee.

For example, the medical device 1100 may change the scan protocol according to the first setting information or change the current setting parameter values to the setting parameter values included in the first setting information. Then, the medical device 1100 can perform image scanning for the examinee by applying the changed scan protocol or the changed setting parameter values.

According to one embodiment, the first configuration information transmitted from the electronic device 1000 to the medical device 1100 is set by skilled professionals in various medical disciplines (e.g., radiologists, physicians, sonographers) Since the medical instrument 1100 is the setting information recommended by the artificial intelligence model that has learned the set values, the medical instrument 1100 can advance the optimal image scan for the examinee using the first setting information. Thus, the medical device 1100 can acquire a medical image of high image quality with less negative impact on the examinee.

FIG. 17 is a flowchart illustrating a method of determining recommendation information by the medical information management server according to an embodiment.

In step S1700, the electronic device 1000 and the medical information management server 300 may form a communication link. In step S1710, the electronic device 1000 can obtain the information of the testee and the identification information of the medical device 1100. [ Steps S1700 and S1710 correspond to steps S1600 and S1610 in Fig. 16, and a detailed description thereof will be omitted.

In step S1720, the electronic device 1000 can transmit the testee's information and the identification information of the medical device 1100 to the medical information management server 300 via the communication interface. According to an embodiment, the electronic device 1000 may request the medical information management server 300 to recommend the testee's information and the setting information corresponding to the identification information of the medical device 1100. [

In step S1730, the medical information management server 300 can generate a list of a plurality of pieces of setting information corresponding to the information of the testee and the identification information of the medical device.

According to one embodiment, the medical information management server 300 can generate a list of a plurality of pieces of setting information using the artificial intelligence model. For example, the medical information management server 300 may input the information of the testee and the identification information of the medical device 1100 to the artificial intelligence model. The artificial intelligence model can output a plurality of pieces of setting information including the optimum set values according to the information of the testee and the type of the medical device 1100 as result data. The medical information management server 300 may generate a list including a plurality of pieces of configuration information output as result data in the artificial intelligence model.

In step S1740, the medical information management server 300 can determine the first setting information as the recommendation information from the list of the plurality of setting information based on the negative index.

For example, the medical information management server 300 can determine the first setting information having the lowest negative index predicted from the plurality of setting information included in the list as the recommendation information. In addition, the medical information management server 300 may determine two or more pieces of setting information whose predicted negative indexes fall within a critical range as recommendation information. For example, among the plurality of scan protocols included in the list of the plurality of setting information, the electronic device 1000 may include a first scan protocol in which a predicted negative index exists between a first threshold value and a second threshold value, 2 scan protocol can be determined as the recommended scan protocol.

In step S1750, the medical information management server 300 may transmit the first setting information recommended by the artificial intelligence model to the electronic device 1000. [

In step S1760, the electronic device 1000 may display the first setting information received from the medical information management server 300 as recommendation information.

According to one embodiment, the electronic device 100 may display on the display 1010 setting parameters included in the first setting information or the first setting information. According to another embodiment, the electronic device 1000 may display a list of a plurality of pieces of setting information and mark a visual indicator so that the first setting information is identified on the list of the plurality of pieces of setting information.

According to one embodiment, the electronic device 1000 may simultaneously display the second setting information previously defined in the medical device 1100 and the recommended first setting information. The electronic device 1000 may display together a first negative index corresponding to the first setting information and a second negative index corresponding to the second setting information. Since step S1760 corresponds to step S1530 in Fig. 15, a detailed description will be omitted.

In step S1770, the electronic device 1000 may receive a user input for approving the first setting information.

In step S1780, the electronic device 1000 may transmit the first setting information to the medical device 1100 when a user input for accepting the first setting information is received.

In step S1790, the medical device 1100 receives the first setting information from the electronic device 1000, and may apply the first setting information to the test image of the examinee.

Since steps S1770 to S1790 correspond to steps S1670 to S1690 in Fig. 16, detailed description thereof will be omitted.

The type of the medical device 1100 that provides the first setting information to the subject's image scan may vary. 18, the case where the medical apparatus 1100 is an X-ray apparatus will be described first with reference to FIG. 18, and the case where the medical apparatus 1100 is an MRI apparatus will be described with reference to FIG. Ultrasonic apparatus will be finally discussed with reference to FIG.

18 is a flowchart illustrating a method of recommending a first scan protocol to an x-ray apparatus based on an exposure dose of an electronic device according to an embodiment.

In step S1810, the electronic device 1000 can obtain the information of the testee and the identification information of the medical device 1100. [ Since step S1810 corresponds to step S1610 in Fig. 16, a detailed description will be omitted.

In step S1820, based on the identification information of the medical device 1100, the electronic device 1000 can determine whether the medical device 1100 is an X-ray device. For example, electronic device 1000 may receive a code representing an x-ray device from medical device 1100. Alternatively, the electronic device 1000 may determine that the medical device 1100 is an X-ray device based on the product model number or the product model name of the medical device 1100, but is not limited thereto. Alternatively, the electronic device 1000 may receive input from a user via a graphical user interface (GUI) to set the medical device 1100 as an x-ray device.

In step S1830, when the medical device 1100 is an x-ray device, the electronic device 1000 can acquire a list of a plurality of scan protocols corresponding to information of the testee. At this time, each of the plurality of scan protocols may be a scan protocol for the X-ray apparatus. In addition, each of the plurality of scan protocols may be a scan protocol for acquiring an x-ray image having an image quality of a certain level or higher.

For example, the electronic device 1000 can acquire a list of scan protocols matching the testee's test site and the weight of the testee from the medical information management server 300. Alternatively, the electronic device 1000 may obtain a list of scan protocols matching the tested region of the testee and the weight of the testee using the AI model stored in the memory 1050.

In step S1840, the electronic device 1000 can determine the first scan protocol among the plurality of scan protocols as the recommendation information, based on the exposure amount. For example, the electronic device 1000 can determine the recommendation information as the first scan protocol with the smallest exposure among the plurality of scan protocols.

In step S1850, the electronic device 1000 may display the first scan protocol on the display 1010. [

According to one embodiment, the electronic device 1000 may display a first amount of exposure to be predicted when performing an image scan according to the first scan protocol together with the first scan protocol. The user of the electronic device 1000 (e.g., radiologist) can determine the first scan protocol indicated by the recommendation information and determine whether to apply the first scan protocol to the x-ray apparatus.

According to an embodiment, when the X-ray apparatus applies the first scan protocol, it is possible to obtain an X-ray image of an appropriate image quality while minimizing a negative influence of the X-ray. Hereinafter, with reference to FIG. 19 to FIG. 23, the operation of the electronic device 1000 for providing setting information related to image scanning to the X-ray apparatus will be described in further detail.

19 is a diagram for explaining an operation in which an electronic device according to an embodiment obtains a list of a plurality of scan protocols using an AI model.

According to one embodiment, the electronic device 1000 includes the information 1901 (e.g., body weight, age, sex, inspection site, injection of contrast agent) of the testee and identification information 1902 Model information, product number, etc.) can be input to a recommendation model (AI model) 1300. The recommendation model 1300 may be stored in the medical information management server 300 or the memory 1050 of the electronic device 1000. The recommendation model 1300 may be continuously modified or refined by learning x-ray images and related configuration information obtained from various specialized hospitals or various radiologists.

For example, the electronic device 1000 stores the weight information (e.g., 100 kg) of the testee, gender information (e.g., male) of the examinee, the test site (chest) of the examinee, and the identification code of the x- Can be input.

In this case, the recommendation model 1300 uses the dose and image quality as a reference 1903, and determines the scan protocols used to scan a male chest x-ray image having a weight of 100 kg among the scan protocols of the x- Can be extracted. Each of the extracted scan protocols may include configuration parameters to ensure image quality above a certain level. In addition, each of the extracted scan protocols may include configuration parameters having a predicted dose of a critical range. Since the kVP value, the mA value, the mSec value, the AEC value, etc. may affect the dose amount, the combination of the kVP value, the mA value, the mSec value, and the AEC value included in each of the scan protocols may be different. Recommendation model 1300 may pass a list 1900 containing extracted scan protocols to processor 1040 of electronic device 1000.

The electronic device 1000 may display a list 1900 of scan protocols obtained from the recommendation model 1300 on the screen. The list 1900 may include an identifier 1910 of each of the scan protocols and may include an image 1920 representing a dose 1920 corresponding to each of the scan protocols.

The electronic device 1000 may display the first scan protocol 1911 with the minimum dose among the list of scan protocols 1900 as recommendation information. For example, the electronic device 1000 may display a visual indicator to distinguish the first scan protocol 1911 from other scan protocols. For example, the electronic device 1000 may display the first scan protocol 1911 in a specific color, display a border line around the first scan protocol 1911, or display a specific image (e.g., , Star image), but is not limited thereto.

20 is a diagram for explaining an operation in which an electronic device according to an embodiment displays recommendation information.

Referring to FIG. 20, the electronic device 1000 may display setting parameters 2000 included in the first scan protocol 1911 as recommendation information on the screen. According to one embodiment, the electronic device 1000 may receive additional adjustment inputs for the configuration parameters 2000 from the user via the GUI, by displaying the configuration parameters 2000 on the GUI.

The configuration parameters 2000 included in the first scan protocol 1911 may include, but are not limited to, the kVp value 2001, the mA value 2002, and the mSec value 2003. For example, the kVp value 2001 included in the first scan protocol 1911 may be 7500, the mA value 2002 may be 3300, and the mSec value 2003 may be 2150. [ The user can confirm the configuration parameters (2001, 2002, 2003) recommended by the artificial intelligence model through the GUI.

FIG. 21 is a diagram for explaining an operation of providing an electronic device according to an embodiment together with setting information predefined in the medical device and recommended setting information; FIG.

Referring to FIG. 21, the electronic device 1000 can receive the current setting information 2110 previously defined in the X-ray apparatus from the X-ray apparatus through short-distance communication. The electronic device 1000 can display the current setting information 2110 previously defined in the X-ray apparatus together with the setting information 2120 recommended by the recommendation model 1300. [

According to one embodiment, the current setting information 2110 may include parameter values set for image scanning of a previous examinee. For example, if the previous testee is a female of 50 kg, the first setting parameters included in the current setting information 2110 may have a kVp value of 7500, a mA value of 3200, and an mSec value of 2000. However, since the current test subject is a male with a weight of 100 kg, the second setting parameters included in the setting information 2120 recommended by the recommended model 1300 are kVp value of 7500, mA value of 3300, and mSec value Lt; / RTI > According to one embodiment, as the weight of the examinee increases, the mA value and the mSec value can be increased.

When the first setting parameters included in the current setting information 2110 are applied to the image scan of the x-ray apparatus, the electronic device 1000 stores the first exposure dose affecting the examinee and the recommended setting information 2120 When applying the included second setting parameters to image scanning of the x-ray apparatus, a second dose that affects the examinee can be expected.

The electronic device 1000 may display the expected first exposure amount and the expected second exposure amount together with the current setting information 2110 and the recommended setting information 2120. [ For example, the electronic device 1000 may display the expected first exposure amount corresponding to the current setting information 2110 as a first bar graph 2131. In addition, the electronic device 1000 may display the range of the expected second exposure amount corresponding to the recommended setting information 2120 in the second bar graph 2132. [

The second bar graph 2132 may be longer than the first bar graph 2131 because the mA value and the mSec value included in the recommended setting information 2120 are somewhat higher than the current setting information 2110. [

The user of the electronic device 1000 (e.g., radiologist) checks the estimated second exposure amount corresponding to the recommended setting information 2120 and the recommended setting information 2120, (For example, an update button) 2140 for changing the setting information 2120 to recommended setting information 2120. When receiving the input touching the button 2140, the electronic device 1000 can transmit a control command to the x-ray apparatus to change the current setting information 2110 to the recommended setting information 2120. [ The X-ray apparatus can change the current setting information 2110 to the recommended setting information 2120 according to the control command and proceed with the image scan for the current examinee in accordance with the recommended setting information 2120. [

In FIG. 21, the electronic device 1000 has described the expected amount of exposure as a bar graph. However, the present invention is not limited thereto. For example, the electronic device 1000 may represent the expected amount of exposure as a numerical value, or may be expressed in the form of a circular graph or a vertical bar graph.

22 is a diagram for explaining an operation in which an electronic device according to an embodiment provides personalized learning data of a user to a medical information management server.

22, the first user of the electronic device 1000 receives the kVp value 2210 and the mA value 2220 from among the setting parameters included in the recommended setting information 2120, and outputs the mSec value 2230, Can be changed. For example, the electronic device 1000 may receive a first user's touch input changing the mSec value 2230 included in the recommended setting information 2120 from '2150' to '2000'. The first user may reduce the mSec value 2230 using the arrow image and directly input the mSec value 2230 as '2000'.

When the first user input for changing the recommended setting information 2120 is received, the electronic device 1000 can transmit information on the changed setting information 2200 to the medical information management server 300. [ For example, the electronic device 1000 may send information to the medical information management server 300 that the first user accepts the kVp value and the mA value, and the mSec value has not been accepted. The electronic device 1000 may also transmit the modified mSec value (e.g., 2000) to the medical information management server 300 by the first user.

The medical information management server 300 can modify or refine the recommendation model 1300 in order to recommend the setting information suitable for the first user by using the changed setting information 2200 as personalized learning data. Hereinafter, an operation in which the updated recommendation model 1300 recommends setting information suitable for the first user will be described with reference to FIG.

23 is a diagram for explaining an operation in which an electronic device according to an embodiment provides a different recommended setting parameter for each user.

Referring to FIG. 23, even if the same subject information 2301 and the same X-ray device identification information 2302 are input to the recommendation model 1300, the recommendation model 1300 is different according to the user of the electronic device 1000 Setting information can be recommended.

For example, the first electronic device 1000-1 of the first user receives the first setting parameters from the recommendation model 1300 as recommendation information, and the second electronic device 1000-2 of the second user receives the recommendation information And may receive the second setting parameters from the model 1300 as recommendation information. In this case, the first electronic device 1000-1 may display the first setting parameters as recommendation information to the first user, and the second electronic device 1000-2 may display the second setting parameters to the second user Information can be displayed. The mSec value included in the first setting parameters displayed in the first electronic device 1000-1 is the mSec value included in the second setting parameters displayed in the second electronic device 1000-2, Quot; may be " 2150 ".

The recommendation model 1300 previously recommends the mSec value to 2150 for the first user. However, if the first user changes the mSec value to a lower value several times, the recommendation model 1300 sets the preference value of the first user The first set parameters can be recommended.

24 is a flowchart for explaining a method of providing setting information related to an image scan to an MRI apparatus based on an electromagnetic wave absorptivity (SAR) of an electronic apparatus according to an embodiment.

In step S2410, the electronic device 1000 can obtain the information of the testee and the identification information of the medical device 1100. [ Since step S2410 corresponds to step S1610 in Fig. 16, a detailed description will be omitted.

In step S2420, based on the identification information of the medical device 1100, the electronic device 1000 can determine whether the medical device 1100 is an MRI device.

For example, electronic device 1000 may receive a code representing an MRI device from medical device 1100. Alternatively, the electronic device 1000 may determine that the medical device 1100 is an MRI device based on the product model number or the product model name of the medical device 1100, but is not limited thereto. For example, the electronic device 1000 may receive input from a user via a graphical user interface (GUI) to set the medical device 1100 as an MRI device.

In step S2430, if the medical device 1100 is an MRI device, the electronic device 1000 can obtain a list of a plurality of scan protocols corresponding to the testee's information. At this time, each of the plurality of scan protocols may be a scan protocol for the MRI apparatus. Further, each of the plurality of scan protocols may be a scan protocol for acquiring an MR image having an image quality of a certain level or higher.

For example, the electronic device 1000 can acquire a list of scan protocols matched from the medical information management server 300 to the test region of the subject, the age of the subject, and the weight of the subject. Alternatively, the electronic device 1000 may acquire a list of scan protocols matching the test region of the testee and the weight and age of the testee using the artificial intelligence model stored in the memory 1050.

In step S2440, the electronic device 1000 can determine the first scan protocol among the plurality of scan protocols as recommendation information based on the electromagnetic wave absorption rate (SAR). For example, the electronic device 1000 can determine, as recommendation information, a first scan protocol having a minimum SAR (Electromagnetic Absorption Rate) among a plurality of scan protocols.

In step S2450, the electronic device 1000 may display the first scan protocol on the display 1010 as recommendation information.

According to one embodiment, the electronic device 1000 may display the expected first electromagnetic wave absorption rate (SAR) with the first scan protocol when performing an image scan according to the first scan protocol. The user of the electronic device 1000 (e.g., radiologist) can determine the first scan protocol indicated by the recommendation information and determine whether to apply the first scan protocol to the MRI apparatus.

According to an embodiment, when the MRI apparatus applies the first scan protocol, it is possible to obtain MR images of appropriate image quality while minimizing a negative influence of electromagnetic waves. Hereinafter, with reference to FIGS. 25 to 27, an operation of the electronic device 1000 for providing setting information related to image scanning to the MRI apparatus will be described in further detail.

25 is a diagram for explaining an operation in which an electronic device according to an embodiment provides a GUI associated with an MRI apparatus.

Referring to Fig. 25, the electronic device 1000 may display a GUI associated with the MRI device on the display 1010. Fig. The GUI associated with the MRI apparatus may include, but is not limited to, a protocol area 2501, a parameter area 2502, a patient information display area 2503, an MR image display area, and the like.

Meanwhile, according to one embodiment, the GUI associated with the MRI apparatus may display a button 2500 for AI recommendation. When the user desires to receive the setting information from the authentication intelligence model, the user can touch the button 2500. [ In this case, the electronic device 1000 can provide the information of the examinee and the identification information of the MRI apparatus as input data to the artificial intelligence model. The operation of generating a list of a plurality of scan protocols based on the input data by the artificial intelligence model will be described in detail with reference to FIG.

26 is a diagram for explaining an operation of the electronic device according to the embodiment to display a list of scan protocols in the GUI.

Referring to FIG. 26, the recommendation model 1300, which is an artificial intelligence model, includes information on a testee 2601 (for example, body weight, age, sex, test site, injection of contrast agent) and identification information 2602 of the MRI apparatus 1100 (E.g., type, model information, product number, etc.) as input data. For example, the electronic device 1000 can identify the subject's body weight information (e.g., 20 kg), the gender information of the subject (e.g., female), the age of the subject (age 8), the test subject's (thoracic) The code can be entered into the recommendation model (1300).

In this case, the recommendation model 1300 uses the electromagnetic wave absorption rate (SAR) and the image quality as a reference 2603, and performs a scan (scan) used to scan a pediatric MR image of a child weighing 30 kg out of the MRI apparatus scan protocols Protocols can be extracted. Each of the extracted scan protocols may include configuration parameters to ensure image quality above a certain level. In addition, each of the extracted scan protocols may include configuration parameters having a predicted range of electromagnetic absorption (SAR) in the critical range. According to one embodiment, since the TR (repetition time), TE (echo time), bandwidth, field of view (FOV), frequency encoding, flip angle and slice thickness may affect the SAR, The combination of echo time (TE), bandwidth, field of view (FOV), frequency encoding, flip angle, and slice thickness values may be different. The recommendation model 1300 may forward the list 2600 containing the extracted scan protocols to the processor 1040 of the electronic device 1000.

The electronic device 1000 can display the list of scan protocols 2600 obtained from the recommendation model 1300 in the protocol area 2501 of the GUI. List 2600 may include an identifier that represents each of the scan protocols. Although not shown in FIG. 26, the list 2600 may display the electromagnetic wave absorption rate (SAR) corresponding to each of the scan protocols.

The electronic device 1000 may display the first scan protocol 2601 having the minimum SAR value among the list of scan protocols 2600 as recommendation information. For example, the electronic device 1000 may display a visual indicator to distinguish the first scan protocol 2601 from other scan protocols. For example, the electronic device 1000 can display the first scan protocol 2601 in a specific color, display a border line around the first scan protocol 2601, or display a specific image (e.g., , Star image), but is not limited thereto.

Fig. 27 is a diagram for explaining an operation of the electronic device according to an embodiment for displaying the recommended setting parameters and the Electromagnetic Absorption Rate (SAR) in the GUI. Fig.

27, the electronic device 1000 can display first setting parameters 2700 corresponding to the first scan protocol 2601 in the parameter area 2502 of the GUI. For example, the TR value 2702 included in the first setting parameters 2700 may be 90000 ms, and the slice thickness value may be 4.0 mm. According to one embodiment, a further adjustment input for the first configuration parameters 2700 may be received from the user via the GUI. For example, the user can adjust the TR value 2702 to less than 9000ms.

On the other hand, the electronic device 1000 may display the first electromagnetic wave absorption rate 2703 corresponding to the first setting parameters 2700 in the patient information display area 2503. At this time, the user of the electronic device 1000 can confirm the electromagnetic wave absorptivity 2703 and determine whether to accept the first setting parameters 2700. The electronic device 1000 may transmit the first scan protocol 2601 and the first setting parameters 2700 to the MRI device when receiving an input that accepts the first configuration parameters 2700 from the user.

The MRI apparatus can apply the first scan protocol 2601 and the first setting parameters 2700 to the image scan to obtain an optimal MR image for the examinee.

28 is a view for explaining a method by which an electronic device according to an embodiment provides setting information related to an image scan to an ultrasonic device.

In step S2810, the electronic device 1000 can obtain the information of the testee and the identification information of the medical device 1100. [ Since step S2810 corresponds to step S1610 in Fig. 16, a detailed description will be omitted.

In step S2820, based on the identification information of the medical device 1100, the electronic device 1000 can determine whether the medical device 1100 is an ultrasonic device.

For example, the electronic device 1000 may receive a code representing an ultrasonic device from the medical device 1100. Alternatively, the electronic device 1000 may determine that the medical device 1100 is an ultrasonic device based on the product model number or the product model name of the medical device 1100, but is not limited thereto. For example, the electronic device 1000 may receive input from a user via a graphical user interface (GUI) to set the medical device 1100 as an ultrasound device.

In step S2830, when the medical apparatus 1100 is an ultrasonic apparatus, the electronic apparatus 1000 can acquire a list of a plurality of pieces of setting information corresponding to the information of the testee. At this time, each of the plurality of setting information may be setting information for the ultrasonic apparatus. In addition, each of the plurality of setting information may be configured with configuration parameters for acquiring an ultrasound image having an image quality of a certain level or higher.

For example, the electronic device 1000 can acquire a list of a plurality of pieces of setting information matched to the test region of the subject, the age of the subject, and the weight of the subject, from the medical information management server 300. Alternatively, the electronic device 1000 can acquire a list of a plurality of pieces of setting information matched to the body part and the age of the subject to be examined and the subject using the artificial intelligence model stored in the memory 1050.

In step S2840, the electronic device 1000 can determine the first setting information as the recommendation information from the list of the plurality of setting information based on the mechanical index (MI) or the fever index (TI). The first setting information may include a plurality of setting parameters, but is not limited thereto. The first setting information may include one setting parameter.

The ultrasonic apparatus raises the transmission voltage of the ultrasonic signal output from the pulser, thereby diagnosing the object more accurately. As the transmission voltage rises, the sensitivity of the image improves, but MI, TI or acoustic pressure (pressure caused by ultrasonic waves passing through the medium) increases. Therefore, the electronic device 1000 can determine the first setting information as the recommendation information, which allows the ultrasonic image of the proper image quality to be acquired, in consideration of the mechanical index (MI) or the fever index (TI).

For example, the electronic device 1000 can determine, as recommendation information, the first setting information having a minimum mechanical index (MI) or a fever index (TI) expected from a plurality of pieces of setting information.

In step S2850, the electronic device 1000 may display the first setting information on the display 1010 as recommendation information.

According to one embodiment, the electronic device 1000 may display the expected MI or TI with the first setting information when performing the image scan according to the first setting information. The user of the electronic device 1000 (e.g., sonographer) can confirm the first setting information indicated by the recommendation information and determine whether to apply the first setting information to the ultrasonic apparatus.

According to one embodiment, the electronic device 1000 may display the second setting information predefined in the ultrasonic device together with the recommended first setting information. Also, the electronic device 1000 may display the first MI graph (or the first TI graph) corresponding to the first setting information and the second MI graph (or the second TI graph) corresponding to the second setting information have.

According to an embodiment, when the ultrasound device applies the first setting information, it is possible to obtain an ultrasound image of a proper image quality while minimizing a negative influence of the ultrasound waves. Hereinafter, with reference to FIG. 29 to FIG. 30, the operation of the electronic device 1000 to provide setting information related to image scanning to the ultrasonic device will be described in further detail.

FIG. 29 is a diagram for explaining an operation in which the electronic device according to an embodiment displays recommendation setting parameters based on the mechanical index (MI) or the heat generation index (TI).

According to one embodiment, the electronic device 1000 includes the information 2901 (e.g., weight, age, gender, inspection site, injection of contrast agent) of the testee and identification information 2902 of the ultrasonic device Model information, product number, etc.) can be input to a recommendation model (AI model) 1300. The recommendation model 1300 may be stored in the medical information management server 300 or the memory 1050 of the electronic device 1000. The recommendation model 1300 may be continuously modified or refined by learning ultrasound images and related configuration information obtained from various specialized hospitals or various sonographers.

For example, the electronic device 1000 transmits the weight information (for example, 80 kg) of the testee, gender information (for example, male) of the subject, the test region (abdomen) of the subject and the identification code of the ultrasonic device to the recommendation model 1300 Can be input. In this case, the recommendation model 1300 can extract a plurality of pieces of setting information used for scanning a male abdominal ultrasound image having a body weight of 80 kg, with MI (or TI) and image quality as a reference 2903 . The extracted plurality of setting information may include setting parameters for ensuring image quality of a certain level or more. Further, the extracted plurality of setting information may include setting parameters having an expected MI or TI of the threshold range. The recommendation model 1300 can determine the first setting information having the minimum expected MI / TI from among the plurality of pieces of setting information as the recommendation information. The recommendation model 1300 may convey the first configuration information to the processor 1040 of the electronic device 1000.

The electronic device 1000 can display the first setting information recommended by the recommendation model 1300 on the screen. For example, the power value included in the first setting information may be 90. Meanwhile, the electronic device 1000 may simultaneously display the second setting information and the first setting information so that the second setting information currently set in the ultrasonic apparatus is compared with the recommended first setting information. Referring to FIG. 30, an operation of simultaneously displaying the recommended setting information and the current setting information of the electronic device 1000 will be described.

30 is a view for explaining an operation of providing an electronic device according to an embodiment together with setting information predefined in the ultrasonic apparatus and recommendation setting information.

Referring to FIG. 30, the electronic device 1000 can receive the current setting information 3010 previously defined in the ultrasonic device from the ultrasonic device through short-distance communication. The electronic device 1000 can display the current setting information 3010 previously defined in the ultrasonic apparatus together with the setting information 3020 recommended by the recommendation model 1300. [

According to one embodiment, the current setting information 3010 may include parameter values set for an ultrasound image scan of a previous examinee. For example, the first power value 3011 included in the current setting information 3010 may be 90. FIG. If the power value is 90, the MI value may be as high as 1.5. Therefore, the recommendation model 1300 can recommend a value slightly lower than the current power value to the extent that proper image quality can be maintained. For example, the second power value included in the setting information 3020 recommended by the recommendation model 1300 may be 70. [

According to one embodiment, when the first setting parameters included in the current setting information 3010 are applied to the image scanning of the ultrasonic apparatus, the electronic device 1000 includes the first MI and the recommended setting information 3020 The second MI is expected to be displayed on the screen when the second setting parameters are applied to the image scanning of the ultrasonic apparatus.

For example, the electronic device 1000 may display a first MI map 3012 representing the first MI corresponding to the current setting information 3010 next to the current setting information 3010. [ The electronic device 1000 may also display a second MI map 3022 indicating a second MI corresponding to the recommended configuration information 3020 next to the recommended configuration information 3020. [ Since the first power value 3011 is greater than the second power value 3021, the first MI map 3012 can be expressed more convex than the second MI map 3022. The user compares the first MI map 3011 with the second MI map 3022 to intuitively know that there is less negative influence on the examinee according to the recommended setting information 3020 than the current setting information 3010 have.

The electronic device 1000 can transmit the setting information 3020 recommended by the ultrasonic device when receiving an input that accepts the recommended setting information 3020 from the user. According to one embodiment, the configuration information 3020 transmitted from the electronic device 1000 to the ultrasound device may be transmitted to the ultrasound device through the artificial intelligence device 3020, which learns the set values set by skilled experts (e.g., radiologists, doctors, and sonographers) Since the ultrasound device is recommended by the intelligent model, the optimal ultrasound image scan suitable for the examinee can be performed using the recommended setting information 3020. [ Therefore, the ultrasonic apparatus can acquire a high-quality ultrasound image with less negative influence on the examinee.

100: electronic device 300: medical information management server
201: first medical device 202: second medical device
203: Third medical device

Claims (20)

An electronic device for providing configuration information relating to image scanning to a medical device,
At least one processor; And
A memory electrically coupled to the at least one processor,
Wherein the memory is configured such that the at least one processor,
Acquiring a list of a plurality of pieces of setting information corresponding to information of a testee and identification information of the medical device;
Determining first setting information as recommendation information from a list of the plurality of setting information based on a negative index indicating a degree of negatively affecting the testee; And
And displaying the first setting information determined as the recommendation information on a display. 2. The system of claim 1, wherein the at least one processor comprises:
And acquiring a list of the plurality of setting information and determining the first setting information as the recommendation information through the artificial intelligence model learned based on the medical images photographed by the plurality of radiographers. Electronic device. The information processing apparatus according to claim 1,
Age information, gender information, information on a test site, and information related to injection of a contrast agent. 2. The method of claim 1,
Wherein the electronic device includes at least one of a Dose, a Specific Absorption Rate (SAR), a Mechanical Index (MI), and a Thermal Index (TI). The method according to claim 1,
Wherein the memory is configured such that the at least one processor,
Transmitting the information of the testee and the identification information of the medical device to the medical information management server through a communication interface; And
Further comprising instructions for causing the medical information management server to perform an operation of receiving from the medical information management server a list of the plurality of setting information generated using the artificial intelligence model. The method according to claim 1,
Wherein the list of the plurality of setting information includes a plurality of scan protocols, each of the plurality of scan protocols includes a plurality of setting parameters,
Wherein the at least one processor displays on the display first configuration parameters included in a first scan protocol corresponding to the first configuration information. 2. The system of claim 1, wherein the at least one processor comprises:
And displays a visual indicator for the first setting information such that the first setting information is identified on the list of the plurality of setting information. 7. The apparatus of claim 6, wherein the at least one processor comprises:
By generating a list including at least two scan protocols for causing the image quality of the medical image to be equal to or higher than a threshold value among the scan protocols corresponding to the information of the examinee and the identification information of the medical device, . ≪ / RTI > 2. The system of claim 1, wherein the memory further comprises:
Acquiring second predefined configuration information from the medical device to the medical device; And
Further comprising instructions for causing the computer to perform an operation of displaying the first setting information and the second setting information together. 10. The apparatus of claim 9, wherein the memory further comprises:
And to perform an operation of providing information on a first negative index corresponding to the first setting information and information on a second negative index corresponding to the second setting information. 2. The system of claim 1, wherein the memory further comprises:
Further comprising a step of determining, as the recommendation information, a first scan protocol having the smallest negative index value among the scan protocols included in the list of the plurality of setting information. 2. The system of claim 1, wherein the memory further comprises:
And to transmit the first configuration information to the medical device based on user input. A method of providing an electronic device with configuration information related to image scanning to a medical device,
Acquiring a list of a plurality of pieces of setting information corresponding to information of a testee and identification information of the medical device;
Determining first setting information as recommendation information from a list of the plurality of setting information based on a negative index indicating a degree of negatively affecting the testee;
And displaying the first setting information determined on the recommendation information on a display. 14. The method of claim 13,
Wherein the step of acquiring a list of the plurality of setting information and the step of determining the first setting information as recommendation information are performed by an artificial intelligence model that is learned based on medical images photographed by a plurality of radiologists . 14. The method as claimed in claim 13, wherein the step of acquiring the list of the plurality of pieces of configuration information comprises:
Transmitting information of the testee and identification information of the medical device to a medical information management server; And
And receiving from the medical information management server a list of the plurality of setting information generated by the medical information management server using the artificial intelligence model. 14. The method of claim 13,
Wherein the list of the plurality of setting information includes a list of a plurality of scan protocols, each of the plurality of scan protocols includes a plurality of setting parameters,
Wherein displaying the first configuration information comprises displaying first configuration parameters included in a first scan protocol corresponding to the first configuration information. 14. The method of claim 13, wherein displaying the first setting information comprises:
Acquiring second predefined configuration information from the medical device to the medical device; And
And displaying the first setting information and the second setting information together. 18. The method of claim 17, wherein displaying the first setting information and the second setting information together comprises:
Providing information on a first negative index corresponding to the first setting information and information on a second negative index corresponding to the second setting information. 14. The method of claim 13,
Further comprising transmitting the first configuration information to the medical device based on user input. A computer program product comprising a computer readable storage medium,
Acquiring a list of a plurality of pieces of setting information corresponding to information of the testee and identification information of the medical device;
Determining first setting information as recommendation information from a list of the plurality of setting information based on a negative index indicating a degree of negatively affecting the testee; And
And displaying the first setting information determined on the recommendation information on a display.

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