A New Multiscale Representation for Shapes and Its Application to Blood Vessel Recovery
Bin Dong, Aichi Chien, Zuowei Shen, and Stanley Osher

TL;DR
This paper introduces a novel multiscale shape representation and applies it to develop a surface inpainting algorithm for blood vessel recovery, demonstrating effectiveness in both phantom and real scenarios with clinical relevance.
Contribution
The paper presents a new multiscale shape representation and a surface inpainting algorithm specifically designed for blood vessel recovery, addressing irregular vessel morphology.
Findings
Successful vessel recovery demonstrated
Numerical estimation of arteriosclerosis degree
Effective in both phantom and real scenarios
Abstract
In this paper, we will first introduce a novel multiscale representation (MSR) for shapes. Based on the MSR, we will then design a surface inpainting algorithm to recover 3D geometry of blood vessels. Because of the nature of irregular morphology in vessels and organs, both phantom and real inpainting scenarios were tested using our new algorithm. Successful vessel recoveries are demonstrated with numerical estimation of the degree of arteriosclerosis and vessel occlusion.
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Taxonomy
Topics3D Shape Modeling and Analysis · Medical Image Segmentation Techniques · Advanced Numerical Analysis Techniques
