Towards Establishing Dense Correspondence on Multiview Coronary Angiography: From Point-to-Point to Curve-to-Curve Query Matching

• URL: http://arxiv.org/abs/2312.11593v1
• Date: Mon, 18 Dec 2023 16:47:43 GMT
• Title: Towards Establishing Dense Correspondence on Multiview Coronary Angiography: From Point-to-Point to Curve-to-Curve Query Matching
• Authors: Yifan Wu, Rohit Jena, Mehmet Gulsun, Vivek Singh, Puneet Sharma, James C. Gee
• Abstract summary: We aim to establish dense correspondence in multi-view angiography, serving as a fundamental basis for various clinical applications. We formulated the problem of dense correspondence estimation as a query matching task over all points of interest in the given views. The method was evaluated on a set of 1260 image pairs from different views across 8 clinically relevant angulation groups.
• Score: 12.667439312616786
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Coronary angiography is the gold standard imaging technique for studying and diagnosing coronary artery disease. However, the resulting 2D X-ray projections lose 3D information and exhibit visual ambiguities. In this work, we aim to establish dense correspondence in multi-view angiography, serving as a fundamental basis for various clinical applications and downstream tasks. To overcome the challenge of unavailable annotated data, we designed a data simulation pipeline using 3D Coronary Computed Tomography Angiography (CCTA). We formulated the problem of dense correspondence estimation as a query matching task over all points of interest in the given views. We established point-to-point query matching and advanced it to curve-to-curve correspondence, significantly reducing errors by minimizing ambiguity and improving topological awareness. The method was evaluated on a set of 1260 image pairs from different views across 8 clinically relevant angulation groups, demonstrating compelling results and indicating the feasibility of establishing dense correspondence in multi-view angiography.

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