Coronary three-dimensional reconstruction method based on graph model matching

By using a graph model matching method, the centerline of coronary angiography images is extracted and a coronary tree diagram model is generated, which solves the accuracy problem of three-dimensional reconstruction of coronary arteries under single-plane angiography system and achieves flexible and efficient three-dimensional reconstruction results.

CN116205963BActive Publication Date: 2026-06-19TIANJIN UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
TIANJIN UNIV
Filing Date
2023-04-21
Publication Date
2026-06-19

AI Technical Summary

Technical Problem

Existing methods for 3D reconstruction of coronary arteries are mostly based on dual-plane angiography systems, lacking effective multi-view CAG image registration methods. Furthermore, the back projection method requires accurate 2D centerlines, limiting its application scenarios and making it difficult to accurately reconstruct 3D models of coronary arteries under single-plane angiography systems.

Method used

A graph model matching-based approach is adopted to extract the centerline by segmenting the coronary angiography image, generate a coronary artery tree graph model, calculate the basic matrix using the eight-point algorithm, and reconstruct a three-dimensional coronary artery model by combining graph model matching and optimization.

Benefits of technology

It enables accurate reconstruction of coronary artery 3D models under a single-plane angiography system, reducing errors from multiple candidate points and improving the accuracy and flexibility of reconstruction.

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Abstract

This invention provides a method for coronary artery 3D reconstruction based on graph model matching, comprising at least one of the following steps: S1, selecting two angiographic sequences from different perspectives for 3D reconstruction to obtain coronary angiographic images; S2, segmenting the coronary vessels in the coronary angiographic images from step S1; S3, aligning the angiographic sequences with the cardiac cycle, and selecting coronary angiographic images at the same phase of the cardiac cycle for coronary artery 3D reconstruction; S4, extracting the vessel centerlines based on the vessel segmentation results from step S2, and generating a coronary artery tree graph model. The beneficial effects of this invention are: after segmenting the coronary vessels in the coronary angiographic images and extracting the centerlines, converting them into a graph model, and matching the graph models converted from the coronary artery tree graph model in coronary angiographic images taken at end-diastole of the heart to obtain the matching point relationships of the coronary vessel centerlines, a 3D coronary artery model is reconstructed based on the matching results.
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