Medical image registration method based on combination of mutual information and gradient information

Abstract

The invention provides a medical image registration method based on combination of mutual information and gradient information, comprising steps of performing weighting on mutual information similarity and adding difference values of a gradient model into gradient similarity, performing space changing on a floating image to be registered and calculating similarity measure of a reference image and the changed floating image. The invention provides a similarity measure function of weighting mutual information and gradient information. The similarity measure can attain a maximization value through constantly optimizing search and changing space, and the registration is successful. The similarity measure function is employed in the process of the registration, which can effectively solve the problems that the medical image registration algorism is low in accuracy and the robustness is not strong.

Description

technical field [0001] The invention relates to a medical image registration method based on the combination of mutual information and gradient information, in particular to a medical image registration method based on the combination of weighted normalized mutual information and gradient information, belonging to the field of medical image processing. Background technique [0002] With the development of medicine, computer technology and bioengineering technology, medical imaging provides medical images of various modalities (CT, MRI, PET) for clinical diagnosis. In actual clinical applications, images of different modalities usually need to be Fusion together, get richer information in order to understand the comprehensive information of diseased tissues or organs, so as to make an accurate diagnosis or formulate an appropriate treatment plan. Image registration is an important prerequisite for image fusion. Image registration began in the 1990s. It refers to spatially cha...

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Problems solved by technology

[0004] Technical problem: Aiming at the problem of low accuracy of the medical map registration method based on mutual information, the present invention proposes a similarity measure that combines weighted mutual information and gradient information. This method is effective on the basis of mutual information. Combining the spatial information of the image enhances the robustness of the registration and improves the accuracy of the registration

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