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Similar case image search program, similar case image search device, and similar case image search method

A similar case and image retrieval technology, applied in the field of similar case image retrieval procedures, can solve the problems of inability to segment the lung field, asymmetry in the left-right and front-back directions, and complex shape of the lung field.

Active Publication Date: 2019-05-03
FUJITSU LTD
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0006]However, the lung field area has a complex shape and is asymmetrical in the left-right direction as well as in the front-back direction relative to the central position of the body
Therefore, in the above-mentioned segmentation method, the lung field area cannot be segmented into an area suitable for image diagnosis, and even if the area where the lesion is distributed is determined and similar cases are searched, it is difficult to perform the search with high accuracy.

Method used

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no. 1 approach

[0033]

[0034] First, a CT image processing system including a similar case image retrieval device in the first embodiment will be described. figure 1 is a diagram showing an example of a CT image processing system.

[0035] The CT image processing system 100 has a CT (Computed Tomography: computerized tomography) apparatus 110 , a similar case image search apparatus 120 , and an image database (hereinafter, the database is abbreviated as DB) 130 . The CT apparatus 110 and the similar case image retrieval apparatus 120 are connected via a wire 111, and various data are exchanged between the two apparatuses. In addition, the similar case image search device 120 and the image DB 130 are connected via the wiring 112, and various data are also exchanged between the two devices.

[0036] The CT apparatus 110 scans the patient's body with radiation or the like and processes it using a computer to generate a CT image including a plurality of slice images of the patient as a medic...

no. 2 approach

[0163] In the above-mentioned first embodiment, the method of creating a segmentation curve for each slice image to divide the lung field area into the central area and the peripheral area has been described. However, the method of dividing the lung field area into a central area and a peripheral area is not limited to this. In the second embodiment, a case where the lung field region is divided into a central region and a peripheral region by a method different from that in the first embodiment described above will be described. In addition, below, it demonstrates centering on the difference from the said 1st Embodiment.

[0164]

[0165] First, the functional configuration of the registration unit 141 of the similar case image search device 120 according to the second embodiment will be described. Figure 15 is a second diagram showing an example of the functional configuration of the registration unit of the similar case image search device. and Figure 7 The differenc...

Embodiment approach

[0185] As can be seen from the above description, in the second embodiment, in each lung field area of ​​each slice image, one point is extracted from each of the chest wall and the mediastinum to calculate the reference line segment, and the size of the integrated image is The proportion of the baseline segment is internally divided. In addition, in the second embodiment, the boundary of the central area is calculated based on the reduced integrated image, and the lung field area is divided into the central area and the peripheral area. Therefore, according to the second embodiment, the lung field area can be divided into areas suitable for diagnosis.

[0186] In addition, in the second embodiment, when extracting the mediastinum, the contour of the chest wall side and the center of gravity of the lung field region are generally used instead of the mediastinum-side contour of the lung field region, which is difficult to extract with high precision. Therefore, according to th...

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Abstract

To make it possible to search for a similar case on the basis of distribution of lesions in a disease in which lesions are distributed within an organ, such as a diffuse parenchymal lung disease. Provided is a similar case image search program, which causes a computer to execute processes to: extract an organ region from a medical image; segment the organ region into a plurality of regions; countthe number of pixels which denote lesions in each of the regions resulting from the segmentation; refer to a storage unit which stores the numbers of pixels denoting the lesions for each of the regions; and identify a similar case image that accords with a degree of similarity of the numbers of pixels denoting the lesions.

Description

technical field [0001] The invention relates to a similar case image retrieval program, a similar case image retrieval device and a similar case image retrieval method. Background technique [0002] Conventionally, in the field of medical treatment, similar case image retrieval devices have been used as a method of comparing and interpreting diagnostic images by referring to past cases (similar cases) that are similar to the case of medical image to be diagnosed, and searching for medical images of similar cases. device. [0003] When comparing image readings, diffuse lung disease is cited as one of the cases in which image diagnosis is difficult for an image reading doctor and the like. Diffuse lung disease refers to a disease in which lesions are distributed in a large area of ​​the lung field area. In image diagnosis of diseases in which lesions are distributed in organs such as diffuse lung disease, it is important to determine in which area of ​​the lung field area the...

Claims

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Application Information

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IPC IPC(8): G16H30/20A61B6/03
CPCA61B6/032A61B6/50A61B6/5217A61B6/5229A61B6/5235G06T7/11G06T7/12G06T2207/30061G06T2207/30096G06T7/0012G06T2207/30242G16H50/70G06F16/5854G16H30/40G16H50/50G16H70/60G06V10/421G06F16/00G06F18/22G06T7/30G06T7/0014
Inventor 森胁康贵杉村昌彦远藤进武部浩明马场孝之上原祐介
Owner FUJITSU LTD
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