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Method for elastically registering medical images by aid of combined convex hull matching and multi-scale classification strategy

A medical image and elastic registration technology, applied in image analysis, image data processing, instruments, etc., to achieve the effect of reducing the number of calculations, low computational complexity, and high efficiency

Active Publication Date: 2013-09-18
ARIEMEDI MEDICAL SCI BEIJING CO LTD
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Problems solved by technology

[0005] The invention proposes a medical image elastic registration method combining convex hull matching and multi-scale classification strategy, which solves the image registration problem of large-angle transformation and improves the accuracy of image registration

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  • Method for elastically registering medical images by aid of combined convex hull matching and multi-scale classification strategy
  • Method for elastically registering medical images by aid of combined convex hull matching and multi-scale classification strategy
  • Method for elastically registering medical images by aid of combined convex hull matching and multi-scale classification strategy

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Embodiment Construction

[0020] The present invention will be further introduced below in conjunction with the accompanying drawings.

[0021] Such as figure 1 As shown, the point cloud pre-registration is realized based on convex hull matching, that is, the surface structure of the volume data is extracted through the isosurface extraction algorithm, and the optimal rigid registration result is obtained by using the point cloud convex hull surface matching method; Realize elastic registration in blocks, use multi-scale iterative process to blur the image at different scales, and realize the matching process from coarse to fine; use mutual information as the similarity measure, combined with trilinear partial volume distribution interpolation algorithm, through iterative optimization Get the optimal elastic transformation parameters.

[0022] The purpose of this method is to register two images, select image I x As the original image to be registered, I y The target image as a reference. This pate...

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Abstract

The invention provides a method for elastically registering medical images by the aid of a combined convex hull matching and multi-scale classification strategy. The method includes performing point cloud preliminary registration on the basis of convex hull matching, in other words, extracting surface structures of volume data by an iso-surface extraction algorithm, and acquiring the optimal rigid registration result by a point cloud and convex hull surface matching process; performing multi-scale partitioning on the images to elastically register the images, performing different-scale blurring on the images by the aid of a multi-scale iteration procedure, and implementing a coarse-to-fine matching procedure; using mutual information as a similarity measure, combining the similarity measure with a volume distribution interpolation algorithm of three linear portions and acquiring the optimal elastic transformation parameters by means of iterative optimization. The method has the advantages that the images can be registered after large-angle transformation is performed on the images, and the image registration precision is improved.

Description

technical field [0001] This method is an elastic medical image registration method that combines convex hull matching and multi-scale classification strategies, and can be widely used in clinical diagnosis and treatment, disease monitoring and surgery based on multi-modal images. Background technique [0002] Today’s medical image acquisition methods include X-ray angiography, computed tomography (CT), magnetic resonance imaging (Magnetic Resonance Imaging, MRI), positron emission tomography (Positron Emission Tomography, PET), etc. These imaging methods It can be divided into two categories: anatomical structure imaging and functional imaging. Anatomical structure imaging is characterized by high resolution and can obtain morphological information of human internal organs and bones; while functional imaging can provide functional metabolic information of human internal organs, but the imaging resolution is low. Therefore, there are information differences in images of diff...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
Inventor 杨健王涌天刘越朱建军范敬凡
Owner ARIEMEDI MEDICAL SCI BEIJING CO LTD
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