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Medical image retrieving method on basis of uncertain fixed point image

A medical image and fixed-point technology, applied in the field of medical information, can solve problems such as unsatisfactory texture structure and uncertainty, and achieve the effects of reducing time complexity, high accuracy, and high sensitivity

Active Publication Date: 2013-07-31
HARBIN ENG UNIV
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Problems solved by technology

However, these texture features are represented by static and definite numbers, which cannot meet the realistic requirements of texture structure and uncertainty.

Method used

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  • Medical image retrieving method on basis of uncertain fixed point image
  • Medical image retrieving method on basis of uncertain fixed point image
  • Medical image retrieving method on basis of uncertain fixed point image

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Embodiment Construction

[0028] The present invention will be further described below in conjunction with accompanying drawing and specific embodiment:

[0029] First build an uncertain fixed-point graph database:

[0030] 1. Extract the ROI region from each original brain CT image in the original image library;

[0031] 2. Intercept the ROI area and correct it;

[0032] 3. Calculate the trough distribution of the gray histogram in the ROI region of the image, and obtain the trough table of the gray histogram;

[0033] 4. According to the threshold value set in the valley table, the texture is extracted multiple times from the image to obtain a multi-level texture image;

[0034] 5. Finally, the multi-level texture image is normalized into an image whose size is COLUMN×ROW;

[0035] 6. Model the image. After the above process, each original image corresponds to a matrix M with a size of ROW*COLUMN i , for M i Point (x,y) in , if there is M i (x,y)≠0, explaining the image P i There is a texture ...

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Abstract

The invention belongs to the technical field of medical treatment information, and particularly relates to a medical image retrieving method on basis of an uncertain fixed-point image, which comprises the following steps: (1) making an inquiry request to a to-be-retrieved image; (2) preprocessing the image; (3) modeling for the image; (4) inquiring the uncertain fixed point image; and (5) displaying the result. The retrieving structure provided by the invention aims to compare probably similar images rather than compare all nodes and sides of each image in all image data bases, so that the time complexity of the process of image retrieval is reduced. The precision ratio is taken as the standard for accuracy evaluation, so that the medical image retrieving method on basis of the uncertain fixed-point image has higher accuracy. As an uncertain fixed image model is sensitive to texture change, the medical image retrieving method on basis of the uncertain fixed-point image has higher sensitivity.

Description

technical field [0001] The invention belongs to the technical field of medical information, and in particular relates to a medical image retrieval method based on an uncertain fixed-point graph. Background technique [0002] With the continuous development of the modernization of medical and health services, medical images are being used more and more in the diagnosis and prediction of patients' conditions, and have played a significant role. A medical image not only contains a lot of information about the patient's condition, but also often corresponds to a series of precious decisions made by the doctor on the patient, as well as the development of the patient's condition. Finding medical images similar to patient images helps to find patients who have previously suffered from the same or similar conditions as patients, and helps doctors through a series of decisions made by doctors on such patients in the past and the development of patients' conditions. Combine empirica...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 潘海为李鹏远冯晓宁王瑞谷井子
Owner HARBIN ENG UNIV
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