KR102348430B1 - Apparatus for training eye movement and method for operating the same - Google Patents

Abstract

To a modular medical image acquisition apparatus and method, wherein the modular medical image acquisition apparatus is provided with a protruding connection part on one side and acquires image information by using a plurality of light sources, a plurality of cameras, a sensor, and a controller A second module that is provided with a coupling unit coupled to the first connection unit on the other side of the module, and performs at least one calculation process using the image information, and a second module connected to the second module by wire/wireless connection to perform the calculation process A third module for outputting a final image may be included.

Description

Modular medical image acquisition device and method

The present application relates to a modular medical image acquisition apparatus and method.

Human blood vessels have various distributions and are widely distributed in each part of the human body. Access to blood vessels from blood collection to diagnosis and treatment of vascular diseases is required in various medical fields, and the demand is increasing. In order to collect blood from a blood vessel or administer an injection solution directly to a blood vessel, an experienced doctor or nurse finds the necessary blood vessel to collect blood or administer the injection solution. A highly skilled invasive operation is essential in order to perform safer and more accurate blood collection or injection procedures and to minimize the patient's pain and fear. However, it takes a lot of time to determine the exact blood vessel and invasion location, and in the process, the patient's pain and fear inevitably increase.

In addition, it takes a lot of training time to train doctors or nurses skilled in vascular treatment. In addition, lesions in the skin or subcutaneous tissue are difficult to observe with the naked eye, and for accurate diagnosis, a diagnosis is made through a photographed image after photographing a lesion of the subcutaneous tissue or skin. After going through such a diagnostic process, a treatment action that is dualized with the diagnostic work is generally performed. Therefore, it takes time to diagnose and treat skin lesions, and there is a problem in that the discomfort of medical staff and patients increases.

The technology that is the background of the present application is disclosed in Korean Patent Publication No. 10-2010-0033371.

The present application is to solve the problems of the prior art described above, by acquiring an image of a blood vessel or lesion in the skin or subcutaneous tissue and displaying it on the subject's skin, treatment for blood vessels in the subcutaneous tissue or skin, subcutaneous tissue lesion An object of the present invention is to provide a modular medical image acquisition apparatus and method capable of effectively performing diagnosis and treatment.

The present application is to solve the problems of the prior art described above, and provides accurate and practical location information about blood vessels or skin lesions in the subcutaneous tissue by acquiring an image of blood vessels or lesions in the skin or subcutaneous tissue, and provides structural, An object of the present invention is to provide a medical image acquisition device and method capable of providing functional information.

However, the technical problems to be achieved by the embodiments of the present application are not limited to the technical problems described above, and other technical problems may exist.

As a technical means for achieving the above technical problem, the modular medical image acquisition apparatus according to an embodiment of the present application is provided with a connection part protruding on one side, and uses a plurality of light sources, a plurality of cameras, sensors, and a control unit. A first module for acquiring image information, a second module having a coupling part coupled to the first connection part on the other side, and performing at least one calculation process using the image information, and a wired/wireless connection with the second module and a third module for outputting the final image on which the calculation process is performed.

In addition, the plurality of light sources may include a visible light source and a near-infrared light source, the plurality of cameras may include a visible light camera and a near-infrared camera, and the sensor may be a distance measuring sensor.

In addition, the controller applies a cross polarization filter to each of the visible light source, the near-infrared light source, the visible light camera, and the near-infrared camera, and adjusts the size of the image by adjusting the sensor to fit the image information can be adjusted to create

In addition, at least one of a blood vessel image and a blood flow image of the subject is obtained using the near-infrared camera, and an image of a skin lesion region of the subject is obtained using the visible light camera, and the image information is the blood vessel image and the blood flow image. and an image of the skin lesion site.

In addition, the second module may select an examination target image according to a user input value corresponding to one of the image information, and perform the calculation process based on the examination target image.

Also, when the examination target image is the blood vessel image or the blood flow image, the second module may generate a vessel emphasis image and a speckle image by using a blood vessel detection algorithm and a speckle contrast calculation algorithm.

In addition, when the test target image is the skin lesion site image, the second module detects the skin lesion site, sets the skin lesion area, quantifies the area and color information, and then stores pre-stored skin lesion data can be compared with

In addition, the third module may directly output the final image to the subject's skin using a beam projector.

On the other hand, the modular medical image acquisition method according to an embodiment of the present application includes the steps of acquiring image information using a plurality of light sources, a plurality of cameras, sensors, and a controller, and at least one or more calculation processes using the image information. performing and outputting a final image on which the calculation process is performed.

The above-described problem solving means are merely exemplary, and should not be construed as limiting the present application. In addition to the exemplary embodiments described above, additional embodiments may exist in the drawings and detailed description.

According to the above-described problem solving means of the present application, the position of blood vessels and blood flow can be visually checked, so that a novice medical person can easily find blood vessels.

According to the above-described problem solving means of the present application, it is possible to provide a convenient blood vessel detector having a small volume and light weight.

According to the above-described problem solving means of the present application, it is convenient to use for microscopic surgery and the like, and skin-related diseases such as burns, atopy, vitiligo, and burgundy nevus can be quantitatively confirmed without visiting a hospital.

However, the effects obtainable herein are not limited to the above-described effects, and other effects may exist.

1 is a schematic configuration diagram of a modular medical image acquisition apparatus according to an embodiment of the present application.
2 is a schematic configuration diagram of a first module according to an embodiment of the present application.
3 is a schematic configuration diagram of a second module according to an embodiment of the present application.
4 is an operation flowchart of a modular medical device acquisition apparatus according to an embodiment of the present application.
5 is a diagram illustrating an image processing process of a modular medical image acquisition apparatus according to an embodiment of the present application.
6 is a diagram illustrating a state in which a vein image and a blood flow image are projected onto a hand of a subject using a beam projector according to an embodiment of the present application.
7 is an operation flowchart of a method for controlling a modular medical image acquisition apparatus according to an embodiment of the present application.

Hereinafter, embodiments of the present application will be described in detail with reference to the accompanying drawings so that those of ordinary skill in the art can easily implement them. However, the present application may be implemented in several different forms and is not limited to the embodiments described herein. And in order to clearly explain the present application in the drawings, parts irrelevant to the description are omitted, and similar reference numerals are attached to similar parts throughout the specification.

Throughout this specification, when a part is "connected" with another part, it is not only "directly connected" but also "electrically connected" or "indirectly connected" with another element interposed therebetween. "Including cases where

Throughout this specification, when a member is positioned “on”, “on”, “on”, “on”, “under”, “under”, or “under” another member, this means that a member is positioned on the other member. It includes not only the case where they are in contact, but also the case where another member exists between two members.

Throughout this specification, when a part "includes" a certain component, it means that other components may be further included, rather than excluding other components, unless otherwise stated.

Although there are various diseases related to blood vessels and blood flow, there is a limit to seeing the location of the blood vessels located under the skin, so there are problems such as a novice medical practitioner with little experience cannot find the blood vessels and the patient feels pain. . In the case of a blood vessel detector on the market, it is bulky and heavy, so it is difficult for medical personnel to carry it and apply it to patients. In the case of general laser speckle contrast imaging equipment, it is quite difficult to reproduce an image on a playback device such as a monitor and use it for surgery in a microscopic area, and there is a requirement that requires know-how. In the case of burns, atopy, vitiligo, and burgundy nevus, it is important for the patient or guardian to check and manage the disease progression, but there is a limit to quantitatively confirming it without going to the hospital. Accordingly, the modular medical image acquisition apparatus according to an embodiment of the present application is intended to solve the above problems by using a module type medical image acquisition apparatus. Hereinafter, a modular medical image acquisition device (hereinafter referred to as 'this device') according to an embodiment of the present application will be described.

1 is a schematic configuration diagram of a modular medical image acquisition apparatus according to an embodiment of the present application, FIG. 2 is a schematic configuration diagram of a first module according to an embodiment of the present application, and FIG. 3 is an embodiment of the present application It is a schematic configuration diagram of a second module according to an example, FIG. 4 is an operation flowchart of the modular medical device acquisition apparatus according to an embodiment of the present application, and FIG. 5 is a modular medical image acquisition apparatus according to an embodiment of the present application of the image processing process, FIG. 6 is a view showing a state of projecting a vein image and blood flow image on the hand of a subject using a beam projector according to an embodiment of the present application, and FIG. 7 is an embodiment of the present application It is an operation flowchart for a control method of a modular medical image acquisition apparatus according to .

1 to 7 , the apparatus may include a first module 10 , a second module 20 , and a third module 30 . The first module 10 and the second module 20 may be mechanically coupled by a connection part and a coupling part to be described later, and the third module 30 is to be connected with the second module 20 through a network (a). can In this case, the network refers to a connection structure capable of exchanging information between each node, such as a plurality of terminals and servers, and an example of such a network includes a 3rd Generation Partnership Project (3GPP) network, a Long Term Evolution (LTE) network. , WIMAX (World Interoperability for Microwave Access) network, Internet, LAN (Local Area Network), Wireless LAN (Wireless Local Area Network), WAN (Wide Area Network), PAN (Personal Area Network), Bluetooth (Bluetooth) networks, satellite broadcast networks, analog broadcast networks, Digital Multimedia Broadcasting (DMB) networks, and the like are included, but are not limited thereto.

More specifically, the device is provided with a connector 11 protruding from one side, a first module 10 for acquiring image information using a plurality of light sources, a plurality of cameras, sensors and a controller, and a first connector on the other side A coupling unit 21 coupled to (11) is provided, and the second module 20 and the second module 20 for performing at least one or more calculation processes using image information are connected to each other so that the calculation process is performed. A third module 30 for outputting the performed final image may be included.

The first module 10 is provided with a connector 11 protruding from one side, and may acquire image information using a plurality of light sources, a plurality of cameras, sensors, and a controller. Referring to FIG. 2 , the first module 10 may include a plurality of light sources, a plurality of cameras, sensors, and a controller (not shown). The plurality of light sources provided in the first module 10 may include a visible light source 121 and a near-infrared light source 131 , and the plurality of cameras may include a visible light camera 12 and a near-infrared camera 13 , , the sensor may be a distance measuring sensor 14 . The plurality of light sources, the plurality of cameras, and the sensors are not limited to the above-described configuration, and the plurality of light sources may be a plurality of LEDs that generate light in a wavelength band of ultraviolet light, visible light, or near infrared light.

The plurality of light sources may selectively generate and irradiate light of a predetermined wavelength band according to at least one of a location of the skin to which the light is irradiated or a type of lesion generated in the skin and subcutaneous tissue. For example, the user or the examiner generates light of a wavelength band capable of obtaining the clearest medical image according to the type of lesion generated in the skin or subcutaneous tissue among the visible light source 121 and the near-infrared light source 131. A light source can be selected to irradiate the skin of a subject. For example, a user or an examiner may select the near-infrared light source 131 to obtain an image of a vein pattern of a subcutaneous tissue.

The plurality of cameras may generate an image by acquiring light reflected through a plurality of light sources. Specifically, the apparatus 1 may obtain at least one of a blood vessel image and a blood flow image of the subject using the near-infrared camera 13 , and may obtain an image of the subject's skin lesion region using the visible light camera 12 . .

The distance measuring sensor 14 may measure a distance between the subject and the first module 10 . When the subject and the first module 10 are separated by a preset distance, the visible light camera 12 and the near-infrared camera 13 may acquire image information. The distance measuring sensor 14 may adjust the size of the image according to the distance after auto-focusing using an infrared laser, ultrasonic wave, or the like so that the automatically projected image is projected to fit the size of the object.

The apparatus 1 may acquire a blood vessel image by irradiating the skin with near-infrared rays to the skin of the subject and then acquiring the reflected light with the near-infrared camera 13 . In the near-infrared region, the absorption rate of blood vessels is higher than that of surrounding tissues, so the brightness of blood vessels may appear darker than that of surrounding tissues. Accordingly, the apparatus 1 may emphasize the blood vessel image through image processing.

In this case, the controller (not shown) may apply a cross polarization filter to each of the visible light source, the near-infrared light source, the visible light camera, and the near-infrared camera, and adjust the size of the image by adjusting the sensor to generate image information according to the size of the object to be inspected. can be adjusted as much as possible. Here, the image information may include a blood vessel image, a blood flow image, and an image of a skin lesion site. That is, the apparatus 1 may acquire a visible light image by using cross-polarized light, and may obtain a near-infrared image by using cross-polarized light. When irradiating a light source (LED, laser diode, etc.) to which a cross-polarization filter is applied to the skin, a diffusing filter or a diffusing lens may be used in some cases. For example, in the case of a cross-polarization filter, a lens or film having a maximum efficiency at 400 nm to 900 nm may be used depending on the light source, and the diffuser may have a divergence angle between 30° and 150°. The device 1 may acquire an image using a CCD or CMOS sensor using a lens to which a cross polarization filter is applied.

The second module 20 is provided with a coupling unit 21 coupled to the first connection unit 11 on the other side, and may perform at least one calculation process using image information. The second module 20 may generate an image signal associated with at least one of skin and/or subcutaneous tissue based on the image data acquired by the first module 10 . The second module 20 may generate an image signal for reconstructing a medical image associated with at least one of skin and/or subcutaneous tissue based on the image data acquired by the image acquisition unit 130 . For example, the second module 20 may generate an image signal using a general algorithm that performs image processing using color data. For example, the image signal generated by the second module 20 may include a digital image signal or an analog image signal including data such as RGB values or ratios of RGB components. For example, the second module 20 maximizes the contrast between the fluorescence region (eg, the lesion region) and the skin tissue using a morphology calculation algorithm, and adjusts the threshold value between the fluorescence region and the skin tissue. can be separated and recognized.

Referring to FIG. 3 , the second module 20 may perform a calculation process using image information based on a mode selected by a user or an examiner. The mode may include a blood vessel detection mode, a blood flow detection mode, and a skin lesion site detection mode, and the second module 20 performs the calculation process using one or two modes selected by the user or the examiner among the three modes. can do.

The second module 20 may select an examination target image according to a user input value corresponding to one of the image information, and perform an operation process based on the examination target image. When the examination target image is a blood vessel image or a blood flow image, the second module 20 may generate a vessel emphasis image and a speckle image by using a blood vessel detection algorithm and a speckle contrast calculation algorithm. If the image to be examined is an image of a skin lesion site, the second module 20 detects the skin lesion site, sets the skin lesion area, quantifies the area and color information, and then stores the skin lesion data and can be compared

The second module 20 may include a mobile AP chip, CPU, GPU, and the like, and may include a panel for outputting a final image generated as a result of the calculation. The second module 20 may perform the calculation process in a mobile device (eg, a smart phone, a tablet PC, etc.) or a computer using an application in addition to a dedicated device capable of performing the calculation process.

The second module 20 may store data generated while performing an operation process, and may compare the degree of change between the stored data and the newly acquired data. Furthermore, the second module 20 may acquire additional information such as ECG and pulse rate after image processing through the obtained final image.

Referring to FIG. 4 , when a cross-polarized visible light image is obtained from the first module 10, a skin lesion area may be detected, and the second module 20 sets the skin lesion area based on the skin lesion site image. and quantify the area and color information, and display the previously stored data to compare the quantified final image. Specifically, the first module 10 may acquire a color image using cross polarization, and the second module 20 may set the lesion site boundary through image processing, and delete the background except for the set area. , it is possible to quantify the area color value, quantify the area, and reconfigure the color (the color is complementary to the skin, so green that is easily distinguished when projected onto the skin can be used).

When the cross-polarized near-infrared image is acquired by the first module 10 , when the image to be examined is a blood vessel image, the second module 20 may emphasize the blood vessel and display the highlighted blood vessel image. If the test target image is a blood flow image, the second module 20 may generate a speckle contrast image, quantify blood flow information, and display the quantified final image.

The third module 30 may be connected to the second module 20 in a wired/wireless manner to output the final image on which the calculation process is performed. The third module 30 receives the image signal from the image processing unit 140 . Also, the third module 30 may display an image associated with at least one of skin and/or subcutaneous tissue on the skin of the subject based on the received image signal. For example, the image may include at least one of an image of the subject's skin, an image of a lesion occurring on the skin or subcutaneous tissue, a pattern image of blood vessels in the subcutaneous tissue, or a laser speckle image of blood vessels. . For example, the third module 30 includes a general image irradiator (eg, a beam projector) capable of generating and irradiating an image and light using a digital image signal or an analog image signal and displaying a medical image. can do.

The third module 30 may directly output the final image to the subject's skin using the beam projector 31 . 5 and 6 , when the second module 20 detects the skin lesion area, the third module 30 uses the beam projector 31 to transform the skin lesion area into the skin (lesion site) of the subject. You can project directly to When the second module 20 performs blood vessel emphasis or blood flow information quantification, it may be directly projected onto the skin of a subject as shown in (a) or (b) of FIG. 6 .

Hereinafter, an operation flow of the present application will be briefly reviewed based on the details described above.

7 is an operation flowchart of a method for acquiring a modular medical image according to an embodiment of the present application.

The modular medical image acquisition method illustrated in FIG. 7 may be performed by the above-described modular medical image acquisition apparatus 1 . Accordingly, even if omitted below, the description of the modular medical image acquisition apparatus 1 may be equally applied to the description of the modular medical image acquisition method.

First, image information may be acquired using a plurality of light sources, a plurality of cameras, a sensor, and a controller (S701).

Next, at least one operation process may be performed using the image information (S702).

Next, the final image on which the calculation process is performed may be output (S703).

In the above description, steps S701 to S703 may be further divided into additional steps or combined into fewer steps, according to an embodiment of the present application. In addition, some steps may be omitted if necessary, and the order between steps may be changed.

The modular medical image acquisition method according to an embodiment of the present application may be implemented in the form of a program command that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, etc. alone or in combination. The program instructions recorded on the medium may be specially designed and configured for the present invention, or may be known and available to those skilled in the art of computer software. Examples of the computer-readable recording medium include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic such as floppy disks. - includes magneto-optical media, and hardware devices specially configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like. Examples of program instructions include not only machine language codes such as those generated by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the present invention, and vice versa.

In addition, the above-described modular medical image acquisition method may be implemented in the form of a computer program or application executed by a computer stored in a recording medium.

The foregoing description of the present application is for illustration, and those of ordinary skill in the art to which the present application pertains will understand that it can be easily modified into other specific forms without changing the technical spirit or essential features of the present application. Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive. For example, each component described as a single type may be implemented in a dispersed form, and likewise components described as distributed may be implemented in a combined form.

The scope of the present application is indicated by the following claims rather than the above detailed description, and all changes or modifications derived from the meaning and scope of the claims and their equivalent concepts should be construed as being included in the scope of the present application.

1: Modular medical image acquisition device
10: first module
20: second module
30: third module

Claims (9)

A modular medical image acquisition device comprising:
a first module provided with a connection part protruding from one side and acquiring image information using a plurality of light sources, a plurality of cameras, sensors, and a control unit;
a second module having a coupling part coupled to the first connection part on the other side and performing at least one or more calculation processes using the image information; and
a third module connected to the second module by wire/wireless to output the final image on which the calculation process is performed;
including,
The plurality of light sources include a visible light source and a near-infrared light source,
The plurality of cameras include a visible light camera and a near-infrared camera,
The sensor is a distance measuring sensor,
The first module acquires at least one of a blood vessel image and a blood flow image of the subject using the near-infrared camera, and acquires an image of a skin lesion site of the subject using the visible light camera,
The image information includes the blood vessel image, the blood flow image, and the skin lesion site image,
wherein the second module selects an examination target image according to a user input value corresponding to one of the image information, and performs the calculation process based on the examination target image;
When the image to be examined is the image of the skin lesion site, the second module detects the skin lesion site, sets the skin lesion area, quantifies the area and color information, and then generates while performing the calculation process stored data, and compared with previously stored skin lesion data,
The third module outputs the final image and the pre-stored skin lesion data to the skin lesion site of the subject,
The distance measuring sensor measures the distance between the skin lesion site of the subject and the first module, and if it is separated by a preset distance, the image information is acquired,
The distance measuring sensor uses infrared laser or ultrasound to project the size of the final image output to the skin lesion site of the subject according to the size of the skin lesion site of the subject by using an infrared laser or ultrasound. delete According to claim 1,
The control unit is
applying a cross-polarization filter to each of the visible light source, the near-infrared light source, the visible light camera, and the near-infrared camera;
By controlling the sensor, the size of the image is adjusted so that the image information is generated according to the size of the examination target, the modular medical image acquisition apparatus.
delete delete According to claim 1,
When the test target image is the blood vessel image or the blood flow image,
wherein the second module generates a blood vessel-emphasized image and a speckle image by using a blood vessel detection algorithm and a speckle contrast calculation algorithm.
delete According to claim 1,
The third module is
A modular medical image acquisition device that directly outputs the final image to the subject's skin using a beam projector. A modular medical image acquisition method comprising:
obtaining, in the first module, image information using a plurality of light sources, a plurality of cameras, sensors, and a controller;
performing, in a second module, at least one operation process using the image information; and
In the third module, outputting the final image on which the calculation process is performed;
including,
The plurality of light sources include a visible light source and a near-infrared light source,
The plurality of cameras include a visible light camera and a near-infrared camera,
The sensor is a distance measuring sensor,
The first module acquires at least one of a blood vessel image and a blood flow image of the subject using the near-infrared camera, and acquires an image of a skin lesion site of the subject using the visible light camera,
The image information includes the blood vessel image, the blood flow image, and the skin lesion site image,
wherein the second module selects an examination target image according to a user input value corresponding to one of the image information, and performs the calculation process based on the examination target image;
When the image to be examined is the image of the skin lesion site, the second module detects the skin lesion site, sets the skin lesion area, quantifies the area and color information, and then generates while performing the calculation process stored data, and compared with previously stored skin lesion data,
The third module outputs the final image and the pre-stored skin lesion data to the skin lesion site of the subject,
The distance measuring sensor measures the distance between the skin lesion site of the subject and the first module, and if it is separated by a preset distance, the image information is acquired,
The distance measuring sensor uses infrared laser or ultrasound to project the size of the final image output to the skin lesion site of the subject according to the size of the skin lesion site of the subject, the modular medical image acquisition method.

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