JP2022100922A - Program, medical image management device and medical image management system - Google Patents

Abstract

To easily provide a medical image required by a doctor.SOLUTION: A program causes a control unit of a medical image management device to execute: a reception step which receives input of prediction information predicted by a user to a medical image generated by an image generation device (step S12); an image processing step (step S14) which executes image processing corresponding to the received prediction information to a region of interest corresponding to at least the prediction information of the medical image; and a display step (step S15) of displaying an image of the region of interest where the image processing is performed.SELECTED DRAWING: Figure 3

Description

The present invention relates to a program, a medical image management device and a medical image management system.

In the examination room, interviews and observations from the outside are first conducted before performing an imaging test. From the information obtained from these, doctors make multiple hypotheses about the patient's disease name and the cause of the symptoms. Then, in order to scrutinize this hypothesis, necessary inspections such as image inspections are performed.

The doctor discovers abnormalities and cases in the image while interpreting the image, but at this time, it is compared with cases such as illnesses and injuries in his knowledge, experience, and memory, and reference images for comparison. Judgment will be made while comparing.
When diagnosing with a monitor, observation is performed by changing while searching for WL / WW (Window Level / Window Wizard) and gradation, which makes it easier to visually recognize the possible occurrence of cases that may appear in the imaging site. The hypothesis is crushed by the elimination method.
If other tests are also performed at this time, the hypothesis will be verified and selected while considering the results.

Here, whether the WL / WW or gradation search and image observation are performed simultaneously or separately is reported by the doctor who interprets the image or by the doctor of the radiology department. It depends on the situation, such as whether it is referenced, the order in which the test results appear, and the sharing method, but there is no difference in the observation method during image interpretation.

Then, the doctor who interprets the image must search for partial WL / WW and gradation every time to examine the hypothesis of the disease name and the case.

In order to avoid this, a part of the area in the image is extracted, optimized in that area, displayed in another area of the screen, and the part of the area is sequentially moved in the image. By doing so, a method has been proposed that facilitates partial diagnosis in an image (Patent Document 1).

In addition, as a method of performing image processing according to the case, the isolated shadow in the image is extracted, the gradation conversion characteristic is calculated from the feature amount of the extracted isolated shadow, and the gradation conversion of the image data is performed using this. (Patent Document 2) has been proposed.

Japanese Unexamined Patent Publication No. 2006-68038 Japanese Unexamined Patent Publication No. 2004-336377

However, in the invention described in Patent Document 1, image processing is performed regardless of the disease name and the case predicted by the doctor, and it cannot be determined whether the set area has an appropriate size for the case.

Further, since the invention described in Patent Document 2 can be applied only to a case for which a method for detecting an isolated shadow has been established, it does not necessarily correspond to a disease name or a case predicted by a doctor. In addition, there is a possibility that unnecessary image processing and image interpretation work will be performed even though other tests have ruled out the possibility of the disease name or case.

Therefore, an object of the present invention is to provide a program, a medical image management device, and a medical image management system that can easily provide a medical image required by a doctor.

In order to solve the above problems, the program of the present invention
On the computer of the medical image management device,
A reception step that accepts input of prediction information predicted by the user for the medical image generated by the image generator, and
An image processing step for executing the received image processing corresponding to the prediction information to at least the region of interest corresponding to the prediction information in the medical image, and an image processing step.
A display step for displaying an image of the region of interest on which the image processing has been performed, and a display step.
To execute.

Further, the medical image management device of the present invention is
A reception control unit that accepts input of prediction information predicted by the user for the medical image generated by the image generator, and
An image processing control unit that executes the received image processing corresponding to the prediction information to at least the region of interest corresponding to the prediction information in the medical image.
A display control unit that displays an image of the region of interest for which image processing has been performed, and a display control unit.
To prepare for.

Further, the medical image management system of the present invention is
It is provided with an image generation device that generates a medical image and a medical image management device that manages a medical image generated by the image generation device.
The medical image management device is
A reception control unit that accepts input of prediction information predicted by the user for the medical image, and
An image processing control unit that executes the received image processing corresponding to the prediction information to at least the region of interest corresponding to the prediction information in the medical image.
A display control unit that displays an image of the region of interest for which image processing has been performed, and a display control unit.
To prepare for.

According to the present invention, it is possible to easily provide a medical image required by a doctor.

It is a block diagram which shows the structure of the medical image management system of embodiment of this invention. It is a block diagram which shows the functional structure of the medical image management apparatus. It is a specific example (example 1) of the image processing flow of the medical image management apparatus. It is a figure which shows an example of the display screen at the time of pressing a predictive input button. It is a figure which shows an example of the display screen at the time of predictive input. It is a figure which shows an example of the display screen after image processing. It is a figure which shows an example of the display screen after image processing. It is a specific example (example 2) of the image processing flow of the medical image management apparatus. It is a specific example (example 3) of the image processing flow of the medical image management apparatus.

Embodiments of the present invention will be described in detail with reference to the accompanying drawings. The present invention is not limited to the illustrated examples.

[Constitution]
First, with reference to FIG. 1, the apparatus configuration of the medical image management system 1 of the present embodiment will be described. FIG. 1 is a block diagram showing a system configuration of the medical image management system 1.

The medical image management system 1 is a system applied to a relatively small-scale medical facility such as a medical practitioner or a clinic. As shown in FIG. 1, the medical image management system 1 includes an image generation device 2, a medical image management device 3, and a reception device 4. The image generation device 2 includes an ultrasonic diagnostic device (US: UltraSonografy) 2a, an endoscope (ES: EndoScopé) 2b, an electrocardiogram recording device (ECG: ElectroCardioGram) 2c, a CR reading device 2d, and a DR reading device 2e.

The image generation device 2 is not limited to the configuration shown in FIG. 1, and for example, a CT image capturing device (CT), a magnetic resonance imaging device (MRI: magnetic resonance imaging), and an external appearance of a body such as skin are photographed. It may be configured to have a digital camera or the like. Further, a configuration may be provided in which a plurality of image generation devices 2 of the same type are provided, for example, two DR reading devices 2e are provided. Further, the combination of the image generation devices 2 provided in the medical image management system 1 is not limited to those exemplified here.

The image generation device 2, the medical image management device 3, and the reception device 4 are connected to a communication network 5 such as a LAN (Local Area Network) via, for example, a switching hub (not shown). The medical image management device 3 is an information processing device such as a workstation provided in a doctor's office where a doctor resides. The medical image management device 3 has a function of controlling the activation and processing conditions of the image generation device 2, a function of acquiring image data from the image generation device 2 and displaying it in association with patient information, and storing image data associated with patient information. It has a function as a PACS (Picture Archiving and Communication Systems) that manages and manages.

As a communication method in a hospital, the DICOM (Digital Image and Communications in Medicine) standard is generally used, and DICOM MWM (Modality Workmangement) or DICOM MPPS is used for communication between each device connected to a LAN. Modality Performance Procedure Step) is used. The communication method applicable to this embodiment is not limited to this. Further, some devices connected to the LAN may not correspond to the DICOM standard.

The medical facility in which the medical image management system 1 is installed has, for example, a reception room, a waiting room, a medical examination room, a radiography room, an examination room, and the like. The reception device 4 is arranged at the reception. The medical image management device 3 and the ultrasonic diagnostic device 2a are arranged in the examination room. A CR photographing device (not shown), a CR reading device 2d, a DR photographing device (not shown), and a DR reading device 2e are arranged in the radiation photographing room. The CR imaging device is a device that emits radiation to a CR cassette through a patient as a subject and records a radiation image. The DR imaging device is a device that generates and stores radiation image data by exposing radiation to a patient as a subject. Further, it is assumed that the medical image management device 3 also functions as a console of the DR image pickup device and is connected to the DR image pickup device via the communication network 5. The endoscope 2b and the electrocardiogram recording device 2c are arranged in the examination room.

A counter is assigned to the reception desk of the medical facility, and the counter staff gives patients who come to the hospital for medical examination, for example, a reception number tag printed with a reception number for distinguishing individual patients in the order of reception. .. In addition, the person in charge of the counter listens to the patient's name and inputs the correspondence between the reception number and the patient's name in the reception device 4.

After reception, the patient waits in the waiting room and enters the examination room when called by a doctor. A medical image management device 3 is placed on the examination desk in the examination room to display image data obtained by photographing the (photographed) part of the patient's diagnosis target, test results related to the examination performed on the patient, and the like. .. In the examination room, an ultrasonic diagnostic apparatus 2a, which is less necessary to perform in an isolated space from the viewpoint of privacy and the like, is installed.

At the time of a doctor's examination in the examination room, if necessary, radiographic imaging with a CR imaging device and CR reading device 2d, radiographic imaging with a DR imaging device and DR reading device 2e, and ultrasonic image imaging with an ultrasonic diagnostic device 2a. The endoscopic image is taken by the endoscope 2b and the electrocardiogram is recorded by the electrocardiogram recording device 2c, and the photographed image data is displayed on the medical image management device 3 and stored in association with the patient information.

In this way, the image generation device 2 takes an image of the imaged portion of the patient as a subject, digitally converts the photographed image to generate image data of the photographed image, or records a predetermined inspection result to record the image data. It is a modality to generate.

The ultrasonic diagnostic apparatus 2a uses an ultrasonic probe (not shown) that outputs ultrasonic waves and an ultrasonic wave (echo) that is connected to the ultrasonic probe and received by the ultrasonic probe as image data of an image of an internal tissue. It has an ultrasonic diagnostic apparatus main body (not shown) to be converted. The ultrasonic diagnostic apparatus 2a sends ultrasonic waves into the body from the ultrasonic probe, receives the ultrasonic waves (echo signals) reflected by the internal tissues again with the ultrasonic probe, and digital ultrasonic image data corresponding to the echo signals. Is generated by the main body of the ultrasonic diagnostic equipment.

A conversion device 21 which is a conversion means (converter) for converting an analog signal to a digital signal is connected to the ultrasonic diagnostic device 2a, and the ultrasonic diagnostic device 2a is connected to a communication network via the conversion device 21. It is connected to 5. Even when data in a format that does not meet the standards (for example, communication protocol) of other external devices connected to the communication network 5 is output from the ultrasonic diagnostic apparatus 2a via the conversion device 21 in this way, it is appropriate. Data can be transmitted and received to and from an external device that has been converted and connected to the communication network 5.

The endoscope 2b is provided with a small photographing device (all not shown) at the tip of a flexible tube, and the photographing device includes, for example, an objective optical system composed of an optical lens or the like. It is provided with an image pickup unit arranged at an imaging position of an objective optical system and an illumination unit composed of an LED (Light Emitting Diode) or the like and performing illumination necessary for performing imaging (none of them is shown). The image pickup unit includes, for example, a solid-state image pickup element such as a CCD (Charge Coupled Device) or a CMOS (Complementary Metal-Oxide Semiconductor), and when light is incident, it is photoelectrically converted into an electric signal in an amount corresponding to the amount of incident light of the light. The objective optical system is configured to condense the area illuminated by the illumination unit with an optical lens and form an image on the solid-state image pickup element of the image pickup unit, and the light incident on the solid-state image pickup element is photoelectrically converted. As a result, the image data of the captured image is output as an electric signal.

The electrocardiogram recording device 2c detects an electrocardiographic waveform and acquires / records waveform data, and transmits the generated image data (waveform data) to the medical image management device 3.

The CR reading device 2d reads image data from a CR cassette (not shown), which is a radiographic image conversion medium in which radiographic image information obtained by photographing a patient's imaged portion is recorded. The CR cassette has, for example, a built-in radiation image conversion plate equipped with a luminescent phosphor sheet that stores radiation energy, and is exposed to radiation from a radiation source (not shown) of the CR imaging device at the time of imaging. Placed inside. When the CR cassette is exposed to radiation, the amount of radiation according to the radiation transmittance distribution of the imaging site is accumulated in the luminescent phosphor layer of the luminescent phosphor sheet, and the luminescent phosphor layer is charged with the radiation. Record the radiographic image information of the imaging site.

When the CR cassette in which the radiographic image information of the imaging site is recorded is loaded, the CR reader 2d irradiates the bright phosphor sheet in the CR cassette loaded in the CR reader 2d with excitation light. As a result, the extinct light emitted from the sheet is photoelectrically converted, and the obtained image signal is A / D converted to generate radiographic image data of the captured image. The CR reading device 2d may be an integrated device integrated with the CR photographing device.

The DR reading device 2e is a device that reads image data of a radiographic image from a storage unit of a radiographic image conversion medium in which radiographic image information obtained by photographing a radiographed portion is recorded. The DR reading device 2e generates image data of a radiation image corresponding to X-rays exposed through the imaged portion of the subject.

FIG. 2 is a main block diagram showing a functional configuration of the medical image management device 3.
As shown in FIG. 2, the medical image management device 3 includes a control unit 31, a storage unit 32, an input unit 33, a display unit 34, a communication unit 35, and an image processing unit 36. Each part of the medical image management device 3 is connected via a bus 37.

The control unit 31 is composed of a CPU (central processing unit) and a RAM (Random Access Memory), and among the system programs and application programs stored in the storage unit 32, a designated program is expanded into the RAM and expanded. Various processes are executed in cooperation with the program and the CPU.

The storage unit 32 is composed of an HDD (Hard Disk Drive), an SSD (Solid State Drive), a non-volatile memory of a semiconductor, and the like, and various programs are stored, as well as image data of captured images and image processing. Various data such as image data and image processing parameters for performing image processing are stored in the image data of the captured image. Further, the storage unit 32 does not necessarily have to be one. For example, the storage unit 32 may be an image processing parameter storage unit, a disease name case storage unit, a display method storage unit, or the like, and may be a plurality of storage units.

The input unit 33 has a keyboard having character input keys, number input keys, various function keys, and a pointing device such as a mouse, and is a key pressing signal operated by an operator such as a doctor or an engineer via the keyboard. And the position operation signal by the mouse are output to the control unit 31.

The display unit 34 has, for example, a display panel such as an LCD (Liquid Crystal Display) or an EL (Electroluminescence) display, and displays various screens according to instructions of display signals input from the control unit 31. The input unit 33 may be configured such that a touch panel is formed on the display panel of the display unit 34, the touch input from the operator is received, and the touch operation signal is output to the control unit 31.

The communication unit 35 is configured by a network interface or the like, and transmits / receives information to / from each device of the image generation device 2 and the reception device 4 connected to the communication network 5 via a switching hub.

The image processing unit 36 performs image processing on the region of interest in the captured image using the image processing parameters corresponding to the prediction information input by the input unit 33.
Here, the prediction information is specifically at least one of the disease name, the case, the anatomical structure name, and the like predicted by the doctor.
For example, in the case of chest radiography, the disease name is lung inflammation such as pulmonary tuberculosis, pneumonia / bronchitis, emphysema / pneumothorax / pleural inflammation / pulmonary fibrosis / heart disease / cardiac hypertrophy / thoracic aortic aneurysm.
Cases are, for example, shadows, broken bones, and white objects.
The anatomical structure name is, for example, an organ such as a lung or a heart, a bone such as a clavicle or a sternum, a myocardium, a muscle such as a smooth muscle, or the like.
Image processing is one of gradation processing and frequency processing, or a combination thereof.
The image processing parameters are a look-up table that defines a gradation curve used for gradation processing, an emphasis level of frequency processing, and the like.
Here, the frequency processing includes an emphasis processing, an equalization processing, a grain suppression processing, and the like.
Further, the region of interest is an region of interest in the captured image as a location where a case that may appear may occur, and the region can be designated by using the input unit 33.

The reception device 4 is an information processing device for performing reception registration, accounting calculation, insurance score calculation, etc. of a patient who has visited the hospital, and is a control unit composed of a CPU and RAM, and an operation unit composed of a keyboard, a mouse, and the like. A storage unit composed of an HDD or the like, a display unit composed of an LCD or the like, and a communication unit for communicating with each device connected to the communication network 5. When the reception device 4 is instructed to display the reception input screen by the operation unit, the reception device 4 displays the reception input screen on the display unit by software processing in collaboration with the CPU and the program stored in the storage unit. When the reception information (reception number + patient name) is input by the input unit via this reception input screen, the patient information list of the received patient is created (updated) and stored in the storage unit, and the communication unit appropriately creates and stores it. It is transmitted to the medical image management device 3.

[Typical operation]
A typical operation of the medical image management system 1 will be described with reference to FIGS. 3 to 7. FIG. 3 shows an image processing flow of the medical image management device 3.
FIG. 4 shows a display screen when the predictive input button 341 is pressed. The display screen shown in FIG. 4 is a screen displayed after shooting by the image generation device 2. The predictive input button 341 is a button pressed when the operator (doctor) performs predictive input.
FIG. 5 shows a display screen at the time of predictive input. The prediction input field 342 is a field in which the operator inputs prediction information (disease name / case / anatomical structure name).
FIG. 6 shows a display screen after image processing. This is a partially close-up screen.
FIG. 7 shows a display screen after image processing. This screen also displays the points of diagnosis.
In the following description, it is assumed that the image generation device 2 has already taken a picture and the predictive input button 341 is displayed on the display unit 34 as shown in the display screen shown in FIG.

First, in the image processing flow shown in FIG. 3, the control unit 31 receives a click input from the operator via the input unit 33 of the predictive input button 341 on the display screen shown in FIG. 4 (step S11). When the click input is accepted, the predictive input field 342 is displayed on the display unit 34 as shown in the display screen shown in FIG.

Next, as the reception control unit, the control unit 31 receives the prediction information input from the operator via the input unit 33 to the prediction input field 342 on the display screen shown in FIG. 5 (step S12: reception step). In the example of FIG. 5, the prediction information "pneumothorax" is input to the prediction input field 342. Specific examples of the input method include text input, list selection, and button selection.
In the case of list selection, the list may be always displayed on the screen, or may be selected from the list displayed by right-clicking.
In the case of button selection, the button may be always displayed on the screen, or may be opened in a separate window and displayed as a button.

Next, the control unit 31 searches the storage unit 32 for the image processing parameters corresponding to the prediction information received in step S12 (step S13).

Next, the control unit 31 causes the image processing unit 36 to perform image processing using the image processing parameters searched in step S13 as the image processing control unit (step S14: image processing step). This creates an optimized image for the doctor to determine the presence or absence of a case.

Next, the control unit 31 causes the display unit 34 to display the processed image that has undergone image processing in step S14 as the display control unit (step S15: display step). Then, the processed image such as the display screen shown in FIGS. 6 and 7 is displayed on the display unit 34.
In the example of FIG. 6, when the predicted information is pneumothorax, since pneumothorax is a disease in which air in the lungs leaks and deflate, image processing is performed so that the blood vessels can be easily seen up to the end of the lungs and displayed. Further, like a balloon, it is possible to enlarge not only the entire image but also a part of the image. It is also possible to set the enlarged display according to the prediction information (disease name, case, anatomical structure name). For example, in the case of the usual disease name, case or anatomical structure name that is enlarged and confirmed, it is optimized so that the disease name, case or anatomical structure name can be easily confirmed when enlarged. It means that the image processing is performed.
Further, as shown in FIG. 7, the diagnostic points corresponding to the combination of the prediction information and the image processing parameters may be displayed together.

As a result, image processing that is automatically optimized for the prediction information (disease name, case, anatomical structure name) predicted by the doctor is performed, and an image that is easy for the doctor to see even when enlarged or displayed is provided. It will be.
In addition, by displaying the points of diagnosis together, it becomes easy for non-specialists to make a diagnosis.

[Modification example of operation]
A modified example of the operation will be described with reference to the figures after FIG.
In the example shown in FIG. 8, there are a plurality of image processing parameters corresponding to one prediction information, and the operator selects from them, or the operator selects and inputs a value. Since steps S21 to S23 are the same as steps S11 to S13 shown in FIG. 3, the description thereof will be omitted.

First, in step S24 in the image processing flow shown in FIG. 8, the control unit 31 causes the display unit 34 to display the image processing parameters searched in step S23 (step S24).
Specifically, a look-up table that defines the gradation curve used for gradation processing, and image processing parameters such as the emphasis of frequency processing are displayed.
Next, the control unit 31 accepts the selection or input of the image processing parameter from the operator via the input unit 33 (step S25: parameter reception step). Examples of the selection method include list selection and button selection. When inputting the parameter value, the value of a typical image processing parameter corresponding to the prediction information is displayed on the display unit 34 as an initial value, and the value may be input by correcting the value.
Since steps S26 and subsequent steps are the same as steps S14 and subsequent steps in the example shown in FIG. 3, the description thereof will be omitted.

This makes it possible to deal with cases such as when it is desired to change the selected image processing parameters even for the same case, and it is possible to deal with various cases.

Further, when the image processing parameter is input in step S25, the input range of the value of the image processing parameter corresponding to the prediction information may be set. As a method of setting the input range, it is possible to disable input of a value other than the input range, or output an error message when a value other than the input range is input.
As a result, it is possible to prevent erroneous image processing from being executed, and it is possible to reduce unnecessary processing.

Further, in step S25, when an image processing parameter is input, an error message may be output if the input is inappropriate (where a numerical value should be input, a character is input, etc.).
As a result, the operator can easily determine the erroneous operation.

In step S25, before the image processing parameters are selected or input, the display unit 34 displays the processed image processed by the image processing parameters with the typical image processing parameters on the display unit 34, and then the operator displays the processed image. It is also possible to select or input image processing parameters after confirming the processed image.
As a result, the operator selects the image processing parameter after confirming the processed image, so that the number of fine adjustments after selection can be reduced.

In the example shown in FIG. 9, in the display unit 34, the region of interest is designated by the operator using the input unit 33 in the captured image, and when the region is designated, the prediction information candidate is displayed.
First, in the image processing flow shown in FIG. 9, the control unit 31 receives the area designation of the region of interest from the operator via the input unit 33 (step S31: step of receiving the region of interest).
Next, the control unit 31 searches the storage unit 32 for the prediction information candidate corresponding to the region of interest information received in step S31 (step S32: prediction information candidate search step).
Next, the control unit 31 causes the display unit 34 to display the prediction information candidate searched in step S32 (step S33: prediction information candidate display step).
Next, the control unit 31 receives the prediction information selection from the operator via the input unit 33 (step S34: reception step). Examples of the selection method include list selection and button selection.
Since steps S35 and subsequent steps are the same as steps S13 and subsequent steps in the example shown in FIG. 3, the description thereof will be omitted. However, in step S36, it is possible to set to perform image processing only on the region of interest.
As a result, the operator can confirm the prediction information candidate by designating the area of interest, and can efficiently confirm the image. Further, by performing image processing only on the region of interest, the image processing time can be shortened and image confirmation can be efficiently advanced.

In step S32, the combination of the prediction information candidate and the image processing parameter corresponding to the candidate is searched, and in step S33, the combination of the prediction information candidate and the image processing parameter corresponding to the candidate is displayed on the display unit 34. Is also possible.
As a result, the operator can confirm the combination of the prediction information candidate and the image processing parameter by designating the area of interest, and can efficiently confirm the image.

In step S36, it is also possible to set to perform image processing not only on the region of interest but also on the entire captured image.

In step S37, it is possible to set to display the image of only the region of interest in which the image processing has been performed, and to display the entire medical image, not limited to the region of interest in which the image processing has been performed. It is also possible to set to.

It is also possible to combine the image processing flows of FIGS. 8 and 9. Specifically, the flow from step S23 to step S27 in FIG. 8 and the flow from step S31 to step S34 in FIG. 9 are combined.
That is, in the display unit 34, in the captured image, the region of interest is designated by the operator using the input unit 33, and when the region is designated, the prediction information candidate is displayed, and the prediction information candidate is further displayed. There are a plurality of corresponding image processing parameters, and the operator selects from them, or the operator selects and inputs a value.

As described above, according to the present embodiment, the program of the medical image management system 1 predicts that the user predicts the medical image generated by the image generation device 2 on the control unit 31 (computer) of the medical image management device 3. A reception step that accepts the input of information, an image processing step that executes image processing corresponding to the received prediction information to at least the region of interest corresponding to the prediction information in the medical image, and the region of interest in which the image processing is performed. The display step to display the image of is executed.
This allows the doctor to easily obtain the medical image he needs.

In addition, the prediction information is at least one of a disease name, a case, and an anatomical structure name.
This allows the doctor to easily obtain medical images corresponding to various predictions of the doctor.

Further, the image processing is one of gradation processing and frequency processing, or a combination thereof.
As a result, the doctor can easily obtain a medical image to which the optimum image processing is performed as needed.

Further, in the image processing step, image processing is performed using the image processing parameters corresponding to the prediction information based on the prediction information.
As a result, image processing is performed using the optimum image processing parameters corresponding to the prediction information predicted by the doctor, and the doctor can easily acquire the required medical image.

Further, in the display step, a close-up display according to the prediction information is possible.
As a result, image processing that is automatically optimized for the prediction information predicted by the doctor is performed, and an image that is easy for the doctor to see even if it is enlarged or displayed is provided.

In addition, in the display step, the support guideline display of the diagnostic points corresponding to the predicted information is also performed.
This facilitates diagnosis even by non-specialists.

[others]
The combination of the prediction information and the image processing parameter can be registered in advance or can be registered during the diagnosis.
This makes it possible to save the image processing parameters that were changed during the diagnosis.

It is possible to input an anatomical structure image in a reference image (template image), analyze it, calculate and set image processing parameters.
This makes it possible to set the same image processing parameters as the template image.

A combination of prediction information and image processing parameters can be assigned to a specific key such as the Fn key for selection.
This can reduce the work of the operator.

You can have a set of prediction information and key assignments for image processing parameters.
This can reduce the work of the operator.

It is possible to have a set of image processing site information and image processing parameter keys as a set, and it is possible to switch the set according to the image capture site information given to the image.
This can reduce the work of the operator.

The image display method can be set for the combination of prediction information and image processing parameters. Specifically, it is possible to display a close-up according to the disease name / case. Further, the image display method is not limited to the entire image, but a part of the image can be enlarged and displayed.
This allows the operator to easily check the image.

Further, the detailed configuration and detailed operation of each part constituting the medical image management system in the above embodiments can be appropriately changed without departing from the spirit of the present invention.

1 Medical image management system 2 Image generation device 2a Ultrasound diagnostic device 2b Endoscope 2c Electrocardiogram recording device 2d CR reading device 2e DR reading device 3 Medical image management device 31 Control unit (reception control unit, image processing control unit, display control) Department)
32 Storage unit 33 Input unit 34 Display unit 35 Communication unit 36 Image processing unit 4 Reception device

Claims (8)

On the computer of the medical image management device,
A reception step that accepts input of prediction information predicted by the user for the medical image generated by the image generator, and
An image processing step for executing the received image processing corresponding to the prediction information to at least the region of interest corresponding to the prediction information in the medical image, and an image processing step.
A display step for displaying an image of the region of interest on which the image processing has been performed, and a display step.
A program to execute. The program according to claim 1, wherein the prediction information is at least one of a disease name, a case, and an anatomical structure name. The program according to claim 1, wherein the image processing is one of gradation processing and frequency processing, or a combination thereof. The program according to claim 1, wherein the image processing step is based on the prediction information and performs image processing using image processing parameters corresponding to the prediction information. The program according to claim 1, wherein in the display step, close-up display according to the prediction information is possible. The program according to claim 1, wherein in the display step, the support guideline display of the diagnosis point corresponding to the prediction information is also performed. A reception control unit that accepts input of prediction information predicted by the user for the medical image generated by the image generator, and
An image processing control unit that executes the received image processing corresponding to the prediction information to at least the region of interest corresponding to the prediction information in the medical image.
A display control unit that displays an image of the region of interest for which image processing has been performed, and a display control unit.
Medical image management device equipped with. It is provided with an image generation device that generates a medical image and a medical image management device that manages a medical image generated by the image generation device.
The medical image management device is
A reception control unit that accepts input of prediction information predicted by the user for the medical image, and
An image processing control unit that executes the received image processing corresponding to the prediction information to at least the region of interest corresponding to the prediction information in the medical image.
A display control unit that displays an image of the region of interest for which image processing has been performed, and a display control unit.
Medical image management system equipped with.

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