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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
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DOI (Published version): 10.1007/978-3-319-95921-4
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...
| ISBN: | 978-3-319-95920-7 978-3-319-95921-4 |
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| ISSN: | 1865-0929 1865-0937 |
| Published: |
University of Southampton
22nd Conference on Medical Image Understanding and Analysis
2018
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| Online Access: |
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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. |
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| Keywords: |
Manifold learning, medical image analysis, cardiac image analysis, shape analysis |
| College: |
College of Science |
| Start Page: |
229 |