Matching method for three-dimensional coronary angiography reconstruction

A technology of three-dimensional reconstruction and matching method, which is applied in the intersecting field of digital image processing and medical imaging, and can solve problems such as too much dependence on models, individual specific problems that cannot be solved well, large reconstruction errors, etc.

CN101763642AActive Publication Date: 2010-06-30HUAZHONG UNIV OF SCI & TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2010-06-30

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Abstract

The invention relates to a matching method for three-dimensional coronary angiography reconstruction, which belongs to the crossing field of digital image processing and medical imaging, and aims to meet the special requirements on the auxiliary detection and the surgical navigation of angiocardiopathy in clinical medicine. The method comprises two steps, i.e. model guidance contrastographic picture vessel segment matching and contrastographic picture puncta vasculosa matching. The matching method uses a multi-scale vascular tree model so as to better guide vascular matching, simultaneously can well solve the problem of individual difference, and improves the matching precision of vessel segments and puncta vasculosa through the method of iterative matching and largest declination of searching potential energy. The matching method for three-dimensional coronary angiography reconstruction can obtain very good angiography matching results, thereby solving the difficult problems in the automatic three-dimensional reconstruction by the multi-view angiography map.
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Description

technical field

[0001] The invention belongs to the intersection field of digital image processing and medical imaging, and in particular relates to an angiography matching method under the guidance of a model. Background technique

[0002] The three-dimensional reconstruction of the vascular tree is a process of recovering the three-dimensional space structure of the blood vessel through the corresponding image information in the X-ray two-dimensional projection images from different angles of view. It generally includes three steps: (1) extraction of vessel skeleton; (2) recognition and matching of vessel segments; (3) estimation and reconstruction of vessel space points and fitting of vessel primitives. Among these three steps, the most critical and difficult step is the identification of each vessel segment in the two contrast images and the matching of each vessel point on it.

[0003] For the structural recognition and matching of cardiovascular double-arm angiography...

Examples

Embodiment Construction

[0089] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0090] Such as figure 1 As shown, the method of the present invention uses the multi-scale model of the coronary artery to iteratively match the blood vessel segments in the angiographic images of two different angles, and obtains locally optimal matching blood vessel point pairs on the corresponding blood vessel segments through potential energy reduction. The specific steps are as follows (taking the left coronary artery as an example, the matching of the right coronary artery is similar):

[0091] (1) Extraction of vascular topology in X-ray angiography

[0092] The skeleton of the coronary vessel tree is extracted from the angiogram through segmentation and thinning. Starting from the root node of the coronary vessel tree, the tree structure representation of the vessel is obtained, and the crossing of vessels and pseudo vessels are remove...