JP-2026075108-A - Dynamic analysis device, display device, dynamic analysis system, program, classification method, and display method

Abstract

[Problem] To support the diagnosis of diseases using analyzed images obtained by analyzing dynamic images. [Solution] The control unit of the analysis device generates an analysis image by analyzing dynamic images of the chest, and classifies the signal values within the lung field region of the analysis image into at least three clusters based on the magnitude of the signal values. The control unit then displays a cluster map in which the regions of each cluster in the analysis image are color-coded, and the feature quantities for each region of the cluster, on the display unit. [Selection Diagram] Figure 3

Inventors

• 小野 浩二郎
• 岡本 健太郎
• 渡辺 諒一

Assignees

• コニカミノルタ株式会社

Dates

Publication Date

20260507

Application Date

20260225

Claims (14)

1. A motion analysis device that performs analysis on motion images obtained by performing motion imaging of a subject using radiation, A classification means that classifies the signal values within a target region in an analysis image generated by analyzing the aforementioned dynamic image into at least three or more clusters based on the type of signal value, A dynamic analysis device equipped with the following features.
2. The aforementioned dynamic image is a dynamic image of the chest. The dynamic analysis apparatus according to claim 1.
3. A calculation means for calculating at least one of the area or ratio of the region for each cluster classified by the classification means, A presentation means for presenting the calculation result by the calculation means, The dynamic analysis device according to claim 1, comprising:
4. Display control means for displaying the target region of the analysis image in a color-coded manner according to the classified clusters on the display unit. The dynamic analysis device according to claim 1, comprising:
5. The classification means classifies the signal values within the target area based on a probability distribution. The dynamic analysis apparatus according to claim 1.
6. The classification means classifies the signal values within the target region into signal values corresponding to large blood vessels, signal values corresponding to medium blood vessels, signal values corresponding to small blood vessels, and signal values corresponding to no blood flow. The dynamic analysis apparatus according to claim 1.
7. The classification means classifies the signal values within the target area into four or more clusters. The dynamic analysis apparatus according to claim 1.
8. Estimation means for estimating the presence or type of disease based on the classified cluster pattern, The dynamic analysis device according to claim 1, comprising:
9. Display unit and A control unit that analyzes dynamic images obtained by performing motion imaging on a subject using radiation, classifies the signal values within a target region in the analysis image into at least three clusters based on the type of signal value, and displays the target region of the analysis image on the display unit in a different display mode for each of the classified clusters, A display device equipped with the following features.
10. A photographic device that performs motion imaging of a subject using radiation, A dynamic analysis device according to any one of claims 1 to 8, A dynamic analysis system equipped with the following features.
11. Computers A classification means that classifies the signal values within a target region in an analyzed image, which is generated by analyzing a dynamic image obtained by performing motion imaging of a subject using radiation, into at least three or more clusters based on the type of signal value. A program designed to function as such.
12. Computers A control unit that analyzes dynamic images obtained by performing motion imaging on a subject using radiation, classifies the signal values within a target area in the generated analysis image into at least three clusters based on the type of signal value, and displays the target area of the analysis image on a display unit in a different display mode for each of the classified clusters. A program designed to function as such.
13. Computers The signal values within the target region in the analysis image, generated by analyzing dynamic images obtained by performing motion imaging of the subject using radiation, are classified into at least three clusters based on the type of signal value. Classification method.
14. Computers The signal values within a target area in the analysis image, generated by analyzing dynamic images obtained by performing motion imaging of a subject using radiation, are classified into at least three clusters based on the type of signal value, and the target area of the analysis image is displayed on the display unit in a different display mode for each classified cluster. Display method.

Description

This invention relates to a dynamic analysis device, a display device, a dynamic analysis system, a program, a classification method, and a display method. Traditionally, chest CT imaging has been used as a detailed examination for diagnosing thoracic diseases such as pulmonary hypertension. In imaging examinations of pulmonary hypertension, for example, dilation of the pulmonary artery trunk and narrowing of peripheral pulmonary vessels are observed. In other words, pulmonary hypertension is diagnosed by observing changes in the structures within the lung field (e.g., large, medium, and small vessels) in chest CT images. However, CT scans present the problem of radiation exposure. Therefore, studies are being conducted to replace CT scans with dynamic imaging using low-radiation radiation. For example, Patent Document 1 describes generating blood flow analysis images using blood flow characteristics as signal values and ventilation analysis images using ventilation characteristics as signal values from frame images of dynamic images obtained by dynamic imaging. Japanese Patent Publication No. 2021-132994 The advantages and features provided by one or more embodiments of the present invention will be better understood from the following detailed description and accompanying drawings. However, these drawings are for illustrative purposes only and are not intended to limit the scope of the present invention. This figure shows an example of the overall configuration of the dynamic analysis system according to this embodiment. This flowchart shows the shooting control process executed by the control unit of the shooting console in Figure 1. Figure 1 shows a flowchart illustrating the analysis process performed by the control unit of the analysis device. This diagram schematically shows the branching of the pulmonary artery. This figure illustrates how signal values on a histogram are classified into clusters. This figure illustrates how signal values on a histogram are classified into clusters. This figure illustrates how signal values on a histogram are classified into clusters. This figure illustrates how signal values on a histogram are classified into clusters. This figure illustrates how signal values on a histogram are classified into clusters. This figure illustrates how signal values on a histogram are classified into clusters. This figure shows an example of a cluster map for a normal case and the features of each cluster region. This figure shows a cluster map of lungs with ischemic areas in the peripheral blood vessels, and an example of the features of each cluster region. The following describes preferred embodiments of the present invention with reference to the drawings. Note that the present invention is not limited to the illustrated examples. <Configuration of the dynamic analysis system 100> Figure 1 shows an example of the overall configuration of the dynamic analysis system 100 in this embodiment. As shown in Figure 1, the motion analysis system 100 comprises an imaging device 1, an imaging console 2, and an analysis device 3 (motion analysis device). The imaging device 1 and the imaging console 2 are connected by a communication cable or the like. The imaging console 2 and the analysis device 3 are connected via a communication network NT such as a LAN (Local Area Network). The communication network NT may also be connected to RIS (Radiology Information Systems), HIS (Hospital Information Systems), an electronic medical record system, PACS (Picture Archiving and Communication System), etc., which are not shown. Each device constituting the motion analysis system 100 conforms to the DICOM (Digital Image and Communications in Medicine) standard. Communication between each of the devices is performed in accordance with DICOM. <Configuration of the imaging device 1> The imaging device 1 is an imaging unit that captures periodic (cycle-like) movements of the chest, such as the morphological changes of lung expansion and contraction associated with respiratory movement, and the beating of the heart. Dynamic imaging refers to acquiring multiple images of a subject by pulsed irradiation of the subject with radiation such as X-rays. Pulsed irradiation refers to repeatedly irradiating the subject with radiation in pulses at predetermined time intervals. Alternatively, dynamic imaging refers to acquiring multiple images of a subject by continuously irradiating the subject with radiation. Continuous irradiation refers to irradiating the subject with radiation at a low dose rate without interruption. A series of images obtained by dynamic imaging is called a dynamic image. Each of the multiple images that make up a dynamic image is called a frame image. Here, dynamic imaging includes video recording, but does not include still images taken while displaying video. Dynamic images include moving images, but do not include images obtained by taking still images while displaying moving images. In the follow