Liver three-dimensional multi-modality image registration method based on discontinuous motion

A multi-modal image and floating image technology, which is applied in image enhancement, image analysis, image data processing, etc., can solve the problems of discontinuous displacement field, organ fracture, and inapplicability of abdominal organs, etc., and achieve high registration accuracy and good accuracy. Robustness, Effects of Improving Accuracy

Active Publication Date: 2017-10-03
SUZHOU INST OF BIOMEDICAL ENG & TECH CHINESE ACADEMY OF SCI
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Problems solved by technology

[0002] In image registration, it is usually desired to obtain a global smooth displacement field, but when the human body performs breathing motion, there will be a relative sliding motion between the lungs and liver and their surrounding tissues. The movement of organs and the movement of their boundaries are broken, so a discontinuous displacement field will be generated between the lung and pleura, and between the liver and the abdominal wall. The traditional cost function constraint term that guarantees global smoothness is no longer applicable. this special situation
[0003] In the prior art, the mainstream method to deal with the registration problem of this kind of discontinuous

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  • Liver three-dimensional multi-modality image registration method based on discontinuous motion
  • Liver three-dimensional multi-modality image registration method based on discontinuous motion
  • Liver three-dimensional multi-modality image registration method based on discontinuous motion

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specific Embodiment approach

[0074] As a specific embodiment of the present invention, the mixed measure refers to the correlation ratio based on normalized mutual information, and the formula is as follows:

[0075] CRMI(M,F;φ)=(2-NMI(M,F;φ))·(1-CR(M,F;φ));

[0076]

[0077]

[0078] Among them, M represents the floating image, F represents the reference image, NMI represents the normalized mutual information, CR represents the correlation ratio; in the normalized mutual information, p(m; u) represents the edge probability density of the floating image, p(f ) represents the edge probability density of the reference image, p(m,f; u) represents the joint probability density of the two images; in the correlation ratio, X and Y represent the random variables of the reference image and the floating image respectively, and Var[Y] is The variance of Y, Var[Y-E(Y|X)] is the variance of Y independent of X.

[0079] In this embodiment, a hybrid measure that combines normalized mutual information and correla...

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Abstract

The invention discloses a liver three-dimensional multi-modality image registration method based on discontinuous motion. The liver three-dimensional multi-modality image registration method comprises the steps of: performing preprocessing and rigid registration on an acquired original liver sequence image; adopting a free-form deformation model combined with a three-order B-spline function to simulate elastic deformation of a liver image, adopting a regularization term based on a total variation and hybrid measurement for constructing a cost function, measuring a similarity degree of the two images, and optimizing and solving the cost function by adopting a limited memory quasi-Newton interpolation method. The liver three-dimensional multi-modality image registration method based on discontinuous motion disclosed by the invention avoids the result of global smooth caused by taking two norms as the regularization term in the prior art, can reserve the boundary discontinuity caused by liver organ motion, and is high in registration precision.

Description

technical field [0001] The present invention relates to the technical field of digital image processing, and more specifically, the present invention relates to a three-dimensional multi-modal liver image registration method based on discontinuous motion. Background technique [0002] In image registration, it is usually desired to obtain a global smooth displacement field, but when the human body performs breathing motion, there will be a relative sliding motion between the lungs and liver and their surrounding tissues. The movement of organs and the movement of their boundaries are broken, so a discontinuous displacement field will be generated between the lung and pleura, and between the liver and the abdominal wall. The traditional cost function constraint term that guarantees global smoothness is no longer applicable. this particular case. [0003] In the prior art, the mainstream method to deal with the registration problem of this kind of discontinuous displacement f...

Claims

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Application Information

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IPC IPC(8): G06T7/32G06T5/00
CPCG06T5/002G06T2207/10012G06T2207/10081G06T2207/10088G06T2207/30056G06T7/32
Inventor 郑健丁敏杜雪莹龚伦章程李铭
Owner SUZHOU INST OF BIOMEDICAL ENG & TECH CHINESE ACADEMY OF SCI
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