Matching method for three-dimensional coronary angiography reconstruction

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.

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...

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Problems solved by technology

However, it relies too much on the specific values ​​of the model, and cannot solve the problem of individual specificity well.

[0016] A matching method for three-dimensional reconstruction of coronary angiography is also disclosed in Chinese patent document CN101301207A. However, when performing blood vessel segment matching, it only utilizes the topological structure of the main subtree of the vessel in the model projection map and the vessel subtree in the angiogram The degree of similarity is used as a matching evaluation, and for the matching of blood vessel points, the matching points are only sampled at equal intervals on the matched blood vessel segment for 3D reconstruction. In this way, the reconstruction error will be large, because in the case of missing or overlapping blood vessels, There is no guarantee that there is a one-to-one correspondence between the blood vessel segments and sampling points in the left and right contrast images

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