Improving Understanding of Long-Term Cardiac Functional Remodelling via Cross-Sectional Analysis of Polyaffine Motion Parameters

Abstract : Changes in cardiac motion dynamics occur as a direct result of alterations in structure, hemodynamics, and electrical activation. Abnormal ventricular motion compromises long-term sustainability of heart function. While motion abnormalities are reasonably well documented and have been identified for many conditions, the remodelling process that occurs as a condition progresses is not well understood. Thanks to the recent development of a method to quantify full ventricular motion (as opposed to 1D abstractions of the motion) with few comparable parameters, population-based statistical analysis is possible. A method for describing functional remodelling is proposed by performing statistical cross-sectional analysis of spatio-temporally aligned subject-specific polyaffine motion parameters. The proposed method is applied to pathological and control datasets to compare functional remodelling occurring as a process of disease as opposed to a process of ageing.
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Communication dans un congrès
FIMH 2017 - 9th International Conference on Functional Imaging and Modeling of the Heart, Jun 2017, Toronto, Canada. Springer, 10263, pp.51 - 59, 2017, Lecture Notes in Computer Science. 〈https://fimh2017.joomla.com/〉. 〈10.1007/978-3-319-59448-4_6〉
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Soumis le : mercredi 16 août 2017 - 16:57:01
Dernière modification le : mercredi 30 mai 2018 - 13:56:03

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Kristin Mcleod, Maxime Sermesant, Xavier Pennec. Improving Understanding of Long-Term Cardiac Functional Remodelling via Cross-Sectional Analysis of Polyaffine Motion Parameters. FIMH 2017 - 9th International Conference on Functional Imaging and Modeling of the Heart, Jun 2017, Toronto, Canada. Springer, 10263, pp.51 - 59, 2017, Lecture Notes in Computer Science. 〈https://fimh2017.joomla.com/〉. 〈10.1007/978-3-319-59448-4_6〉. 〈hal-01574837〉

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