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Conference Paper/Proceeding/Abstract 430 views

Computing 3D Mesh Correspondence for Aortic Root Shape Modelling / Gary, Tam; Xianghua, Xie

19th Conference on Medical Image Understanding and Analysis, Pages: 1 - 6

Swansea University Authors: Gary, Tam, Xianghua, Xie

Abstract

Aortic valve disorder is one of the common diseases affecting elderly people. To provide visual assessment and improve success of surgical treatment, a segmentation technique equipped with a reliable statistical shape model is required. This in turn requires reliable dense correspondences establishm...

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Published in: 19th Conference on Medical Image Understanding and Analysis
Published: 19th Conference on Medical Image Understanding and Analysis 2015
Online Access: http://csvision.swan.ac.uk/uploads/Site/PublicationCategorisedVersion/miua2015_XX.pdf
URI: https://cronfa.swan.ac.uk/Record/cronfa22234
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Abstract: Aortic valve disorder is one of the common diseases affecting elderly people. To provide visual assessment and improve success of surgical treatment, a segmentation technique equipped with a reliable statistical shape model is required. This in turn requires reliable dense correspondences establishment. This paper develops a reliable 3D registration technique targeting aortic region. Given a few easily identifiable land- mark correspondences, our technique obtains a much denser set of point correspondences across a set of 3D aortic sources meshes to the target mesh. We proposes to use geodesic interpolation, a new mesh based similarity metric, and a two-stage local transformation to develop a better registration technique for 3D aortic meshes. It results in better corre- spondences compared to existing work, shows an average Hausdorff distance of 3.65mm and point-to-mesh distance of 0.41mm. Visual comparison is also provided to assess the quality of the point correspondences.
Keywords: Medical image analysis, mesh processing
College: College of Science
Start Page: 1
End Page: 6