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Conference Paper/Proceeding/Abstract 379 views 147 downloads

Manifold Modeling of the Beating Heart Motion

Paul Stroe, Xianghua Xie Orcid Logo, Adeline Paiement

Communications in Computer and Information Science, Volume: 894, Pages: 229 - 238

Swansea University Authors: Xianghua Xie Orcid Logo, Adeline Paiement

Abstract

Modeling the heart motion has important applications for diagnosis and intervention. We present a new method for modeling the deformation of the myocardium in the cardiac cycle. Our approach is based on manifold learning to build a representation of shape variation across time. We experiment with va...

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Published in: Communications in Computer and Information Science
ISBN: 9783319959207 9783319959214
ISSN: 1865-0929 1865-0937
Published: Cham Springer International Publishing 2018
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa39317
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Abstract: Modeling the heart motion has important applications for diagnosis and intervention. We present a new method for modeling the deformation of the myocardium in the cardiac cycle. Our approach is based on manifold learning to build a representation of shape variation across time. We experiment with various manifold types to identify the best manifold method, and with real patient data extracted from cine MRIs. We obtain a representation, common to all subjects, that can discriminate cardiac cycle phases and heart function types.
Keywords: Beating Heart Motion; Manifold Model; Manifold Types; Manifold Learning Methods; Cardiac Cycle Phase
College: College of Science
Start Page: 229
End Page: 238