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Manifold Modeling of the Beating Heart Motion / Paul Stroe; Xianghua Xie; Adeline Paiement

Medical Image Understanding and Analysis, Volume: 894, Pages: 229 - 238

Swansea University Author: Paiement, Adeline

  • Accepted Manuscript under embargo until: 21st August 2019

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: Medical Image Understanding and Analysis
ISBN: 978-3-319-95920-7 978-3-319-95921-4
ISSN: 1865-0929
Published: Medical Image Analysis and Understanding 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.
College: College of Science
Start Page: 229
End Page: 238