Human medical image organ geometric comparison detection method

A medical imaging and detection method technology, applied in the field of image processing, can solve the problems of different grayscale characteristics, difficulty in accurately reflecting changes in the maximum distance gradient field, and susceptibility to noise interference, etc., to achieve the effect of reducing errors
CN106570866AInactive Publication Date: 2017-04-19QINGDAO UNIV
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Patent Information

Authority / Receiving Office
CN Β· China
Current Assignee / Owner
QINGDAO UNIV
Publication Date
2017-04-19
Estimated Expiration
Not applicable Β· inactive patent

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Abstract

The invention relates to a human medical image organ geometric comparison detection method. The method comprises the following steps: non-colinear multiple matched feature points are determined on a to-be-detected anatomic image and a standard image in a module matching mode; based on the feature points, a three-dimensional coordinate system for the standard image and a three-dimensional coordinate system for the to-be-detected anatomic image are built respectively; in the three-dimensional coordinate system, multi-resolution analysis is carried out on the standard image and the to-be-detected anatomic image respectively, and sub images with multiple stages of resolution are obtained; and registration is started from a sub image with the lowest resolution, registration is carried out stage by stage until registration parameters for the image under the highest resolution are obtained. The method of the invention can be used for human medical image organ geometric comparison.
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Description

technical field

[0001] The invention relates to the field of image processing, in particular to a detection method for geometric comparison of human medical imaging organs. Background technique

[0002] In image processing and application, in order to obtain accurate and comprehensive information, it is sometimes necessary to fuse or detect differences of images of different modes or at different times of the same object. In these applications, image registration is a prerequisite. There are two types of image registration methods based on pixels and features. Among them, in pixel-based methods, mutual information is often used in image registration as a measure coefficient of image registration degree. The traditional mutual information measures the statistical correlation of image grayscale, only uses the grayscale information of the image, and does not consider the spatial information. Therefore, some image registration methods based on mutual information may have misal...

Claims

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