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Medical Image Understanding and Analysis / Paul Stroe; Xianghua Xie; Adeline Paiement

Volume: 894, Start page: 229

Swansea University Author: Xie, Xianghua

Abstract

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...

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ISBN: 978-3-319-95920-7 978-3-319-95921-4
ISSN: 1865-0929 1865-0937
Published: University of Southampton 22nd Conference on Medical Image Understanding and Analysis 2018
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URI: https://cronfa.swan.ac.uk/Record/cronfa40803
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Abstract: 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: Manifold learning, medical image analysis, cardiac image analysis, shape analysis
College: College of Science
Start Page: 229