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2017 | OriginalPaper | Chapter

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

Authors : Kristin McLeod, Maxime Sermesant, Xavier Pennec

Published in: Functional Imaging and Modelling of the Heart

Publisher: Springer International Publishing

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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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Metadata
Title
Improving Understanding of Long-Term Cardiac Functional Remodelling via Cross-Sectional Analysis of Polyaffine Motion Parameters
Authors
Kristin McLeod
Maxime Sermesant
Xavier Pennec
Copyright Year
2017
DOI
https://doi.org/10.1007/978-3-319-59448-4_6

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