Non-rigid brain image registration method

A brain image, non-rigid technology, applied in the field of magnetic resonance imaging registration, can solve problems such as huge number and low practicability, and achieve the effect of solving registration problems and reducing scale

Active Publication Date: 2014-04-02
EAST CHINA NORMAL UNIV
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Since the number of matching feature points for each fe

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  • Non-rigid brain image registration method
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  • Non-rigid brain image registration method

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[0041] The present invention will be further described in detail in conjunction with the following specific embodiments and accompanying drawings. The process, conditions, experimental methods, etc. for implementing the present invention, except for the content specifically mentioned below, are common knowledge and common knowledge in this field, and the present invention has no special limitation content.

[0042] The explanation of the professional terms involved in the present invention is as follows:

[0043] The target image refers to the brain image to be registered;

[0044] The reference image refers to the image that should be as similar as possible to the target image after registration;

[0045] The coarse registration image refers to the image stored after the target image undergoes global-local transformation;

[0046] The feature point refers to the pixel point with better texture characteristics in the image, which can distinguish the difference between this p...

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Abstract

The invention discloses a non-rigid brain image registration method, which comprises the steps of 1, preprocessing a target image according to a reference image to obtain a rough registration image; 2, respectively calculating the candidate characteristic points of the reference image and the rough registration image; 3, constructing characteristic descriptors of the candidate characteristic points, and obtaining matched characteristic points according to the characteristic descriptors; 4, calculating a light stream model of the rough registration image according to the characteristic points to obtain a registration result. Through adopting a descriptor vector based on a Zernike matrix to depict the geometrical characteristics under different scales for describing the regional characteristics of the characteristic points, the characteristic point matching problem during non-rigid registration is solved, and in addition, through fusing characteristic point constraints into the Brox light stream model, the problem of registration of brain magnetic resonance images is solved.

Description

technical field [0001] The invention relates to magnetic resonance imaging registration technology, in particular to a non-rigid brain image registration method. Background technique [0002] Structural feature points are particularly important in brain image registration. The selection of structural feature points affects the search for corresponding feature points in the two images and the accuracy of optical flow. There are two main forms of feature point selection: manual and automatic. The manual method means that the researchers manually select the corresponding points in the two human brain images; the automatic method is to find the structural feature points in the reference image and the target image, establish the description vector of the feature point, and calculate the distance between the description vectors Get the corresponding points, and then solve the space transformation parameters through the corresponding points. The typical representative is HAMMER (H...

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Application Information

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IPC IPC(8): G06T7/00
Inventor 文颖阳求应
Owner EAST CHINA NORMAL UNIV
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