JP6925795B2 - Medical image diagnosis support device, its control method, and program - Google Patents

Description

It relates to a medical image diagnosis support device, its control method, and a program.

Emphysema is a type of obstructive lung disease that indicates a condition in which the aerated area expands after the destruction of alveoli mainly caused by tobacco has progressed.The number of patients with such emphysema has been increasing in recent years. It is on the increase.

The main method used for testing and diagnosing emphysema is spirometry, which is a test method for examining the inspiratory capacity of exhaled breath. This test is a method to measure the actual amount of exhaled air and inspiration, but it can be a painful test due to a decrease in respiratory ability in severely ill patients with emphysema.

Therefore, in recent years, a quantitative measurement method using medical image data (hereinafter, also referred to as CT image) taken by an X-ray CT (Computed Tomography) device has been proposed. Among them, a method called "Goddard method" for scoring the degree of progression of emphysema is simple and has come to be widely used (Non-Patent Document 1). Therefore, analysis software that enables evaluation according to the Goddard method is desired.

Japanese Respiratory Society ed .: Guidelines for Diagnosis and Treatment of COPD (Chronic Obstructive Pulmonary Disease) 2nd Edition, Medical Review Co., Ltd., 2004

In the evaluation method based on the Goddard method, three cross sections of the upper lung field (near the aortic arch), the middle lung field (position of the bronchial bifurcation), and the lower lung field (position 1 to 3 cm above the diaphragm) are used. LAA (Low Attention Area) in each of the left and right lung fields is a region with a CT value that is clearly lower than the normal lung field region on the CT image. Normally, the region with a CT value of -950 HU or less is the region of LAA. The proportion of the area is scored, and the severity of chronic obstructive pulmonary disease is determined based on the sum.

However, since the measurement at the left and right 6 points shown above does not capture the overall condition of the lung, which is a vertically long organ, how the pathological condition progresses in the body axis direction in addition to the score evaluation at the above 6 points. It is preferable to be able to present it to the diagnostician by a mechanism that allows visual and intuitive judgment.

Therefore, an object of the present invention is to provide a mechanism capable of informing the user of the position where many lesions are present in the entire lung field.

In order to achieve the above object, the medical image diagnosis support device of the present invention includes an acquisition means for acquiring medical image data of a subject and a lung in a plurality of tomographic images of the medical image data acquired by the acquisition means. A first extraction means for extracting a field region for each tomographic image, a second extraction means for extracting a pulmonary emphysema region in the tomographic image extracted by the extraction means, and a ratio of the pulmonary emphysema region in the lung field region. Is identifiable on the display unit so that the calculation means calculated for each tomographic image, the value indicating the ratio of the pulmonary emphysema region calculated by the calculation means, and the position of the tomographic image corresponding to the value can be identified. It is characterized by comprising a display control means for controlling to display an image of image data and a value indicating the ratio of the pulmonary emphysema region.

According to the present invention, it is possible to provide a mechanism capable of informing the user of the position where many lesions are present in the entire lung field. As a result, the diagnostician can read information that cannot be read only by the value calculated by the Goddard method, which can be useful for diagnosis.

It is a figure explaining an example of the hardware composition of the medical image diagnosis support apparatus 100 in embodiment of this invention. It is a figure explaining an example of the functional structure of the medical image diagnosis support apparatus 100 in embodiment of this invention. This is an example of a flowchart for explaining the flow of processing in the embodiment of the present invention. This is an example of a screen in which an image of medical image data and a graph are displayed in parallel in the embodiment of the present invention. It is a screen example in which the image of the medical image data and the graph of each of the right lung and the left lung are displayed in parallel in the second embodiment of the present invention. In the embodiment of the present invention, this is a screen example in which graphs whose display size has been changed due to a change in the display size of an image of medical image data are displayed in parallel. In the embodiment of the present invention, as the image of the medical image data is moved, the display position of the graph is also changed, and this is a screen example in which the image of the medical image data is displayed in parallel. This is a screen example in which the image of the medical image data and the graphs of the right lung and the left lung are displayed as the same graph in the third embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described with reference to the drawings.

First, the hardware configuration of the medical image diagnosis support device 100 according to the embodiment of the present invention will be described with reference to FIG. The hardware configuration of the medical image diagnosis support device 100 shown in FIG. 1 is an example, and there are various configuration examples depending on the application and purpose.

The medical diagnostic imaging support device 100 includes a CPU 201, a RAM 202, a ROM 203, a system bus 204, an input controller 205, a video controller 206, a memory controller 207, a communication I / F controller 208, an input device 209, a display 210, an external memory 211, and the like. ..

The CPU 201 comprehensively controls each device and controller connected to the system bus 204.

The RAM 202 functions as a main memory, a work area, and the like of the CPU 201. The CPU 201 realizes various operations by loading a program or the like necessary for executing a process into the RAM 202 and executing the program.

The ROM 203 or the external memory 211 stores a BIOS (Basic Input / Output System) which is a control program of the CPU 201, an operating system, various programs which will be described later, which are necessary for realizing functions executed by various devices.

The input controller 205 controls input from a pointing device (input device 209) such as a keyboard or a mouse.

The video controller 206 controls the display of a display device such as the display 210. The display 210 (display unit) is, for example, a CRT or a liquid crystal display.

The memory controller 207 is an external memory such as a hard disk or flexible disk for storing boot programs, browser software, various applications, font data, user files, various data, etc., or a card-type memory connected to a PCMCIA card slot via an adapter. Control access to 211.

The CPU 201 enables display on the display 210 by, for example, executing an outline font expansion (rasterization) process in the display information area in the RAM 202. Further, the CPU 201 enables a user instruction with a mouse cursor or the like (not shown) on the display 210.

Various programs and the like used by the medical image diagnosis support device 100 of the present invention to execute various processes described later are stored in the external memory 211, respectively, and are executed by the CPU 201 by being loaded into the RAM 202 as needed. Is to be done. Further, definition files, various information tables, medical images and the like used by the program according to the present invention are stored in the external memory 211. The medical image is stored in an external server or the like, and the medical image diagnosis support device 100 may be configured to acquire the medical image from the external server.

This completes the description of the hardware configuration of the medical image diagnosis support device 100 shown in FIG.

Next, the description of the functional configuration diagram of the medical image diagnosis support device 100 will be started with reference to FIG.

The medical image diagnosis support device 100 includes an image acquisition unit 1001, a lung field region extraction unit 1002, an emphysema region extraction unit 1003, a calculation unit 1004, a graph generation unit 1005, and a display control unit 1006 as functional units. The image acquisition unit 1001 acquires medical image data such as a CT image of a subject obtained by imaging with a modality, for example. The lung field region extraction unit 1002 extracts the lung field region of the subject based on the medical image data acquired by the image acquisition unit 1001. The emphysema region extraction unit 1003 extracts the emphysema region of the subject based on the medical image data acquired by the image acquisition unit 1001. The calculation unit 1004 calculates the ratio of the emphysema region in the extracted lung field region for each medical image data. The graph generation unit 1005 generates a graph showing the ratio of the emphysema region in the lung field region calculated by the calculation unit 1004 and the position of the subject of the medical image data corresponding to the ratio. The display control unit 1006 displays the image of the subject and the graph generated by the graph generation unit 1005 on the display screen.

This completes the description of the functional configuration of the medical image diagnosis support device 100 shown in FIG.

Next, the details of the processing in the embodiment of the present invention will be described with reference to the flowchart shown in FIG.

[First Embodiment]
In step S301, the CPU 201 of the medical image diagnosis support device 100 acquires a CT image group which is a slice image (tomographic image) captured by, for example, an X-ray CT (Computed Tomography) device. In the medical field, images taken by such a modality device are generally transmitted to a PACS (Picture Archiving Communication System) connected via a network and centrally managed there. Therefore, the medical image diagnosis support device 100 is provided so that an image can be acquired not only from the inside of the medical image diagnosis support device but also from the PACS. The CPU 201 of the medical image diagnosis support device 100 may be not only a slice image but also a reslice image obtained by reslicping a three-dimensional image composed of a plurality of slice images.

In step S302, the CPU 201 of the medical image diagnosis support device 100 replaces the CT value of the background portion of the acquired slice image, which is not the human body region, with a CT value larger than the CT value corresponding to the lung field region. This is to prevent accidental extraction during later extraction of the emphysema region, specifically, it is replaced with -700 HU.

Then, the lung field region is extracted for each CT image by identifying pixels having a CT value smaller than a predetermined threshold value (for example, CT value: −400 HU) for extracting the lung field region. The method for extracting the lung field region is not limited to this, and if the lung field region can be specified, the user may accept the designation of the lung field region, which is described in JP-A-2003-70781. Any method such as a method may be used.

In step S303, the CPU 201 of the medical image diagnosis support device 100 extracts an emphysema region for each slice image acquired in step S301. Emphysema lesions are extracted as LAA (low attenuation area) in slice images. More specifically, the region of emphysema is extracted by identifying pixels having a CT value smaller than a known value corresponding to emphysema (eg, CT value: −900 HU). The method for extracting the region of emphysema is not limited to this, and the region of emphysema may be extracted by using another method such as the method described in JP-A-2003-70781.

In step S304, the CPU 201 of the medical image diagnosis support device 100 calculates the ratio of the emphysema region extracted in step S303 to the lung field region extracted in step S302 for each slice image. More specifically, the ratio is obtained by dividing N by M, where M is the number of pixels in the lung field region and N is the number of pixels in the emphysema region. In this way, a value indicating the ratio of the emphysema region to the lung field region is calculated for each slice image. The calculated value is managed in association with the slice image.

In step S305, the CPU 201 of the medical image diagnosis support device 100 generates a graph obtained by plotting a value indicating the ratio for each slice image calculated in step S304. The generated graph is the graph of 401 shown in FIG. As shown in the graph of 401 of FIG. 4, the reference values of 25%, 50%, and 75%, which are the reference values used for the score determination of the Goddard method and are the reference values of the values indicating the rate of emphysema, are provided. .. As shown in FIG. 4, when the value of the ratio of emphysema is 0% or more and less than 25%, the line of the graph is blue, and when the value of the ratio of emphysema is 25% or more and less than 50%, the line of the graph is orange, 50% or more and 75%. The color of the graph is white in the range of less than, and the color of the graph is red in the range of 75% or more and less than 100%. By gradually changing the display form of the graph according to the value indicating the proportion of emphysema in this way, the user can more clearly recognize in which part the emphysema is abundant with respect to the entire lung field of the subject. Can be made to. Although color coding has been described as an example as a method for different display forms, other methods such as changing the form of the line itself may be used.

In step S306, the CPU 201 of the medical image diagnosis support device 100 reslices the three-dimensional image composed of the slice image group acquired in step S301 to obtain the coronal cross-sectional image and the graph generated in step S305. , Display in parallel. For example, it is a screen example shown in FIG. By displaying the coronal cross-sectional image 402 and the graph 401 in parallel in this way, the user can easily compare the value indicating the rate of emphysema and the position of the subject corresponding to this value. In other words, the user can identify the position of the subject in which the portion showing the high proportion of emphysema in the graph corresponds to, and the distribution of emphysema that cannot be determined only by the score calculated based on the Goddard method. The state can be recognized at a glance.

In step S307, it is determined whether or not the CPU 201 of the medical image diagnosis support device 100 has accepted the selection operation (for example, a click by the mouse) by the input device 209 by the user in the graph 401 displayed in step S306. If it is determined that the selection operation has been accepted, the process proceeds to step S308, and if not, the process proceeds to step S310.

In step S308, the CPU 201 of the medical image diagnosis support device 100 specifies the position on the graph that received the selection operation in step S307, and specifies the slice image corresponding to the value indicating the ratio of the specified positions.

In step S309, the CPU 201 of the medical image diagnosis support device 100 causes the slice image identified in step S308 to be displayed in the display area 403. By doing so, when the user wants to refer to the slice image corresponding to the value on the graph 401, the slice image can be easily displayed on the display screen. After displaying the sliced image in the display area 403, the process returns to step S307.

In step S310, the CPU 201 of the medical image diagnosis support device 100 receives from the user an instruction for enlarging the coronal cross-sectional image (display magnification) (corresponding to the display magnification receiving means) and an instruction for moving the display position (display position). Determine if it is. When the instruction of enlargement / reduction and the instruction of moving the display position are received, the process is transitioned to step S311. If not, the process is transitioned to step S312.

In step S311, the CPU 201 of the medical image diagnosis support device 100 changes or displays the display size of the coronal cross-sectional image according to the instruction of the user received in step S310 (corresponding to the display position receiving means). Change the position. Then, in step S311, while maintaining (synchronously) the display size and display position (correspondence relationship) of the coronal cross-sectional image changed according to the user's instruction, the display size and display of the graph showing the rate of emphysema are displayed. Change the position.

For example, the screen example shown in FIG. 6 will be described. FIG. 6 is an example of a screen in which the size of the coronal cross-sectional image shown in FIG. 4 is changed. The display size of the coronal cross-sectional image 602 is reduced based on the user's instruction. The display size of the graph 601 is displayed small in accordance with the scale of the coronal cross-sectional image 602 while maintaining the positional relationship between the coronal cross-sectional image 602 and the graph 601. In this embodiment, the coronal cross-sectional image is reduced and displayed, but of course, it may be enlarged.

FIG. 7 is an example of a screen in which the position of the coronal cross-sectional image shown in FIG. 4 is moved. While maintaining the positional relationship between the coronal cross-sectional image 702 and the graph 701, the display position of the graph 701 is changed according to the movement of the coronal cross-sectional image 702.

By doing so, the display size and position of the coronal cross-sectional image can be changed, and the display size and position can be changed in conjunction with the graph, so that the user can change the distribution of emphysema throughout the lung. It can be seen and, in more detail, it is possible to easily grasp which part of the lung is predominantly emphysema. In the present embodiment, an example is shown in which the display size and position are changed by specifying the coronal cross-sectional image by the user. However, it is accepted that the display size and position of the graph are changed, and the coronal is corresponding to the change. The display size and position of the cross-sectional image may be changed.

In step S312, the CPU 201 of the medical image diagnosis support device 100 accepts whether or not the display end instruction has been received from the user. If it is determined that the end instruction has been accepted, the display process is terminated, and if not, the process is returned to step S307.

This is the end of the explanation of the flowchart shown in FIG.

[Second Embodiment]
In the first embodiment, the lung field region of the slice image was not divided into the right lung and the left lung, and a value indicating the ratio of the emphysema region to the entire lung field region was obtained to generate a graph. In the second embodiment, the lung field region is divided into a left lung field region and a right lung field region, and a graph is generated in which values indicating the ratios of the emphysema regions (right emphysema region and left emphysema region) in each region are provided. do.
In the second embodiment, the system configuration, hardware configuration, function configuration, screen example, data table, etc. are the same as those in the first embodiment except for the following changes. As a change, FIG. 4 is changed to FIG. The same part as that of the first embodiment will be omitted, and the part whose processing is different from that of the first embodiment will be described.

Only the part where the processing is different from that of the first embodiment will be described with reference to the flowchart of FIG. For the flow without explanation, the same processing as in the first embodiment is performed.

In step S302, the CPU 201 of the medical image diagnosis support device 100 replaces the CT value of the background portion of the acquired slice image, which is not the human body region, with a CT value larger than the CT value corresponding to the lung field region. This is to prevent accidental extraction during later extraction of the emphysema region, and specifically, it is replaced with 800 HU.

Then, the lung field region is extracted for each slice image by identifying pixels having a CT value smaller than a predetermined threshold value (for example, CT value: −400 HU) for extracting the lung field region. The extracted lung field regions are two regions as shown in 503 of FIG. Each region may be stored as a right lung field region and a left lung field region by accepting designation from the user by selection by a mouse, or the right lung field region and the left lung field region can be specified by a known method. You may.

In step S303, the CPU 201 of the medical image diagnosis support device 100 extracts the left emphysema region in the left lung field region extracted in step S302 and the right emphysema region in the right lung field region, respectively. The method for extracting the emphysema region is the same as that in the first embodiment. By carrying out the method for extracting the emphysema region within the range of the region extracted in step S302, the left lung field region, the right lung field region, and the respective emphysema regions are extracted.

In step S304, the CPU 201 of the medical image diagnosis support device 100 calculates the ratio of the emphysema region to each of the right lung field region and the left lung field region extracted in step S303.

In step S305, the CPU 201 of the medical image diagnosis support device 100 generates a graph 501 of a value showing the ratio of the emphysema region to the right lung field region and a graph 502 of a value showing the ratio of the emphysema region to the left lung field region. .. For example, Graph 501 and Graph 502 shown in FIG.

In step S306, the CPU 201 of the medical image diagnosis support device 100 displays the graph generated in step S305 at the corresponding position of the coronal cross-sectional image. More specifically, a graph 501 of a value showing the ratio of the emphysema region to the right lung field region is displayed on the right lung field region side of the coronal cross-sectional image 504, and a graph of a value showing the ratio of the emphysema region to the left lung field region. The 502 is displayed on the left lung field region side of the coronal cross-sectional image 504. By doing so, there is an effect that it is possible to make the user recognize the progress of each emphysema in the right lung field region and the left lung field region of the coronal cross-sectional image 504.
This is the end of the description of the second embodiment.

[Third Embodiment]
Next, a third embodiment of the present invention will be described. The difference from the second embodiment will be described. In the second embodiment, the lung field region is divided into a left lung field region and a right lung field region, and a graph of values showing the ratio of the emphysema region (right emphysema region, left emphysema region) in each region is generated. , Was displayed separately. In the third embodiment, a graph of values indicating the proportion of the emphysema region in each region is displayed in the same region as the same graph. In the third embodiment, the system configuration, hardware configuration, function configuration, screen example, data table, and the like are the same as those in the second embodiment except for the following points. The change is that FIG. 5 is changed to FIG. The description of the portion having the same processing as that of the second embodiment will be omitted, and only the portion having the same processing as that of the second embodiment will be described.

The detailed processing flow of the third embodiment will be described with reference to the flowchart of FIG.
Since the processes from step S301 to step S304 are the same as those in the second embodiment, the description thereof will be omitted.

In step S305, the CPU 201 of the medical image diagnosis support device 100 generates a graph 501 of a value showing the ratio of the emphysema region to the right lung field region and a graph 502 of a value showing the ratio of the emphysema region to the left lung field region. .. For example, Graph 501 and Graph 502 shown in FIG. Graph 502 is a graph that can be distinguished from Graph 501. In the present embodiment, the graph 501 is displayed as a solid line, while the graph 502 is displayed as a dotted line, so that each graph can be identified. It is also possible to identify and display by dividing by the graph of.

In step S306, the CPU 201 of the medical image diagnosis support device 100 displays the graph generated in step S305 at the corresponding position of the coronal cross-sectional image. Graph 501 and graph 502 are displayed in the same area. More specifically, it will be described with reference to FIG.

FIG. 8 shows a graph 501, which is a graph showing the ratio of the emphysema region to the right lung field region, and a graph 502, which is a graph showing the ratio of the emphysema region to the left lung field region, in the same region. It is a figure which shows the example. By displaying the graph 501 showing the ratio of the emphysema region to the right lung field region and the graph 502 showing the ratio of the emphysema region to the left lung field region in the same region on the same graph, the right lung field region and the graph 501 are displayed. There is an effect that the progress of emphysema can be easily compared with the area of the left lung field. In other words, it is possible to sensuously grasp which of the left and right lungs the condition is worsening.
This is the end of the description of the third embodiment.

According to the embodiment of the present invention, it is possible to make it possible to at a glance the distribution state of emphysema (LAA) as seen from the entire lung field, which cannot be understood by the score based on the Goddard method, and to the user. It is possible to recognize the degree of progression of the symptom of the sample.

In the embodiment of the present invention, the values obtained by calculating the ratio of the emphysema region in the lung field region are graphed with respect to all the slice images constituting the volume data captured by the CT device of the subject, and the subject is subjected to graphing. Although it is displayed in parallel with the image of the sample, it is not necessary to perform it on all the slice images that compose the volume data. For example, the value obtained by calculating the ratio of the emphysema region in the lung field region of every few slice images. May be graphed and displayed in parallel with the image of the subject.

The present invention can be, for example, an embodiment as a system, an apparatus, a method, a program, a storage medium, or the like, and specifically, may be applied to a system composed of a plurality of devices, or 1 It may be applied to a device consisting of two devices. The present invention includes a software program that realizes the functions of the above-described embodiments, which is directly or remotely supplied to the system or device. The present invention also includes a case where the information processing device of the system or the device is also achieved by reading and executing the supplied program code.

Therefore, in order to realize the functional processing of the present invention in the information processing device, the program code itself installed in the information processing device also realizes the present invention. That is, the present invention also includes a computer program itself for realizing the functional processing of the present invention.

In that case, as long as it has a program function, it may be in the form of an object code, a program executed by an interpreter, script data supplied to the OS, or the like.

Recording media for supplying programs include, for example, flexible disks, hard disks, optical disks, magneto-optical disks, MOs, CD-ROMs, CD-Rs, CD-RWs, and the like. There are also magnetic tapes, non-volatile memory cards, ROMs, DVDs (DVD-ROM, DVD-R) and the like.

In addition, as a program supply method, a browser of a client computer is used to connect to an Internet homepage. Then, the computer program itself of the present invention or a compressed file including the automatic installation function can be supplied from the homepage by downloading it to a recording medium such as a hard disk.

It can also be realized by dividing the program code constituting the program of the present invention into a plurality of files and downloading each file from different homepages. That is, the present invention also includes a WWW server that allows a plurality of users to download a program file for realizing the functional processing of the present invention in the information processing apparatus.

In addition, the program of the present invention is encrypted, stored in a storage medium such as a CD-ROM, distributed to users, and the key information for decrypting the encryption is downloaded from the homepage to the user who clears the predetermined conditions. Let me. Then, by using the downloaded key information, it is also possible to execute an encrypted program and install it in the information processing device.

Further, the function of the above-described embodiment is realized by the information processing apparatus executing the read program. In addition, based on the instruction of the program, the OS or the like running on the information processing device performs a part or all of the actual processing, and the function of the above-described embodiment can be realized by the processing.

Further, the program read from the recording medium is written to the memory provided in the function expansion board inserted in the information processing device and the function expansion unit connected to the information processing device. After that, based on the instruction of the program, the function expansion board, the CPU provided in the function expansion unit, or the like performs a part or all of the actual processing, and the function of the above-described embodiment is also realized by the processing.

It should be noted that the above-described embodiments merely show examples of embodiment in carrying out the present invention, and the technical scope of the present invention should not be construed in a limited manner by these. That is, the present invention can be implemented in various forms without departing from the technical idea or its main features.

100 Medical image diagnosis support device 201 CPU
202 RAM
203 ROM
204 System Bus 205 Input Controller 206 Video Controller 207 Memory Controller 208 Communication I / F Controller 209 Keyboard 210 CRT Display 211 External Memory

Claims (9)

An acquisition method for acquiring medical image data of a subject,
A first extraction means for extracting a lung field region in a plurality of tomographic images along the body axis direction of the medical image data acquired by the acquisition means for each tomographic image,
A second extraction means for extracting an emphysema region in the tomographic image extracted by the first extraction means, and a second extraction means.
A calculation means for calculating the ratio of the emphysema region in the lung field region for each tomographic image, and
A graph showing the value for each position in the body axis direction of the subject based on a value indicating the ratio of the pulmonary emphysema region calculated by the calculation means, and a cross section of the subject in the body axis direction based on the medical image data. an image indicating a, together with the position of the body axis direction in the body axis direction position and the image of the graph, and further comprising a display control means for controlling to parallel display on the display unit medical Image diagnosis support device. The medical image diagnosis support device according to claim 1, wherein the display control means controls the graph so as to display the graph in a different display form according to a value indicating the ratio of the emphysema region. The medical image diagnosis support device according to claim 1 or 2, wherein the image showing the cross section of the subject in the body axis direction displayed on the display unit is a coronal cross section image. The first extraction means and the second extraction means separately extract the left lung field region and the right lung field region of the subject.
The calculation means calculates the ratio of the left emphysema region in the left lung field region extracted by the first extraction means and the ratio of the right emphysema region in the right lung field region extracted by the first extraction means, respectively. Calculate and
Any of claims 1 to 3 , wherein the display control means controls a value indicating the ratio of the emphysema region so as to display the left lung field region and the right lung field region separately. The medical image diagnosis support device according to item 1. The first extraction means and the second extraction means extract the left lung field region and the right lung field region of the subject, respectively.
The calculation means calculates the ratio of the left emphysema region in the left lung field region extracted by the first extraction means and the ratio of the right emphysema region in the right lung field region extracted by the first extraction means. Calculate each
Wherein the display control unit, according to claim 1, wherein the controller controls to display the percentage of the emphysema area between the ratio of the emphysema area of the left lung field region the right lung field area on the graph The medical image diagnosis support device according to any one of the above items. Further provided with a display position receiving means for accepting a change in the display position of an image showing a cross section of the subject in the body axis direction displayed on the display unit.
The display control means changes the display position of the image showing the cross section of the subject in the body axis direction so as to correspond to the display position received by the display position receiving means, and the position for displaying the graph is also the subject. The medical image diagnosis support according to any one of claims 1 to 5 , wherein the display is controlled so as to be changed so as to maintain the correspondence with the image showing the cross section of the sample in the body axis direction. Device. Further provided with a display magnification receiving means for accepting a change in the display magnification of an image showing a cross section of the subject in the body axis direction displayed on the display unit.
The display control means changes the display magnification of an image showing a cross section of the subject in the body axis direction so as to be the display magnification received by the display magnification receiving means, and the position where the graph is displayed is also for medical use. The medical image diagnosis support device according to any one of claims 1 to 6 , wherein the display is controlled so that the correspondence between the image data and the image is changed. Medical image diagnosis support device
The acquisition step to acquire the medical image data of the subject, and
A first extraction step of extracting a lung field region in a plurality of tomographic images along the body axis direction of the medical image data acquired in the acquisition step for each tomographic image, and a first extraction step.
A second extraction step for extracting the emphysema region in the tomographic image extracted in the first extraction step, and a second extraction step.
A calculation step for calculating the ratio of the emphysema region in the lung field region for each tomographic image, and
A graph showing the value for each position in the body axis direction of the subject based on a value indicating the proportion of the pulmonary emphysema region calculated in the calculation step, and a cross section of the subject in the body axis direction based on the medical image data. The medical image is characterized by comprising a display control step for controlling the position in the body axis direction in the graph and the position in the body axis direction in the image to be displayed in parallel on the display unit. How to control the diagnostic imaging support device. Medical image diagnosis support device,
An acquisition method for acquiring medical image data of a subject,
A first extraction means for extracting a lung field region in a plurality of tomographic images along the body axis direction of the medical image data acquired by the acquisition means for each tomographic image, and a first extraction means.
A second extraction means for extracting an emphysema region in the tomographic image extracted by the first extraction means, and a second extraction means.
A calculation means for calculating the ratio of the emphysema region in the lung field region for each tomographic image, and
A graph showing the value for each position in the body axis direction of the subject based on a value indicating the ratio of the pulmonary emphysema region calculated by the calculation means, and a cross section of the subject in the body axis direction based on the medical image data. an image indicating a, together with the position of the body axis direction in the body axis direction position and the image of the graph, is characterized in that to function as a display control means for parallel display on the display unit program ..

Images