Conference Paper/Proceeding/Abstract 897 views 227 downloads
Manifold Modeling of the Beating Heart Motion
,
Adeline Paiement
Communications in Computer and Information Science, Volume: 894, Pages: 229 - 238
Swansea University Authors:
Xianghua Xie , Adeline Paiement
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DOI (Published version): 10.1007/978-3-319-95921-4_22
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...
| Published in: | Communications in Computer and Information Science |
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| ISBN: | 9783319959207 9783319959214 |
| ISSN: | 1865-0929 1865-0937 |
| Published: |
Cham
Springer International Publishing
2018
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| Online Access: |
Check full text
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| 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. |
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| Keywords: |
Beating Heart Motion; Manifold Model; Manifold Types; Manifold Learning Methods; Cardiac Cycle Phase |
| College: |
Faculty of Science and Engineering |
| Start Page: |
229 |
| End Page: |
238 |