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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

Inactive Publication Date: 2017-04-19
QINGDAO UNIV
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Problems solved by technology

However, for images of different modes, due to the different gray characteristics, the maximum distance gradient field is difficult to accurately reflect the changes in the image
At the same time, computing gradients directly using grayscale makes such fields susceptible to noise

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  • Human medical image organ geometric comparison detection method

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Embodiment Construction

[0021] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0022] Such as figure 1 As shown, the present invention provides the detection method of human body medical image organ geometric comparison, comprises the following steps:

[0023] Step S1: Determine a plurality of non-collinear matching feature points on the anatomical image to be detected and the standard image by means of module matching, specifically, step S1a: take the plane where the image is located as the XOY plane, and take the pixel as the coordinat...

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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.

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...

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Application Information

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IPC IPC(8): G06T7/00G06T7/30
CPCG06T7/0014
Inventor 孟庆兰陈忠恒王双燕单涛王晓俭
Owner QINGDAO UNIV
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