Dimensional Reduction of Cardiac Models for Effective Validation and Calibration

Abstract : Complex 3D beating heart models are now available, but their complexity makes calibration and validation very difficult tasks. We thus propose a systematic approach of deriving simplified reduced- dimensional models, in "0D" - typically, to represent a cardiac cavity, or several coupled cavities - and in "1D" - to model elongated structures such as fibers or myocytes. As illustrations of our approach, we demon- strate model validation based on experiments performed with papillary muscles, and calibration using patient-specific pressure-volume loops.
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Ourselin, Sebastien and Rueckert, Daniel and Smith, Nicolas. 7th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2013, Jun 2013, London, United Kingdom. Springer-Verlag, 7945, pp.259-267, 2013, Lecture Notes in Computer Science
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Dernière modification le : mardi 13 novembre 2018 - 10:10:07
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Matthieu Caruel, Radomir Chabiniok, Philippe Moireau, Yves Lecarpentier, Dominique Chapelle. Dimensional Reduction of Cardiac Models for Effective Validation and Calibration. Ourselin, Sebastien and Rueckert, Daniel and Smith, Nicolas. 7th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2013, Jun 2013, London, United Kingdom. Springer-Verlag, 7945, pp.259-267, 2013, Lecture Notes in Computer Science. 〈hal-00834704〉

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