Atlases of cardiac fiber differential geometry

Emmanuel Piuze, Herve Lombaert, Jon Sporring, Gustav J. Strijkers, Adrianus J. Bakermans, Kaleem Siddiqi

8 Citations (Scopus)

Abstract

Studies of intra-species cardiac fiber variability tend to focus on first-order measures such as local fiber orientation. Recent work has shown that myofibers bundle locally into a particular type of minimal surface, the generalized helicoid model (GHM), which is described by three biologically meaningful curvature parameters. In order to allow intra-species comparisons, a typical strategy is to divide the parameters of the generalized helicoid by heart diameter. This normalization does not compensate for variability in myocardial shape between subjects and makes interpretation of intra-species results difficult. This paper proposes to use an atlas of rat and dog myocardium, obtained using diffeomorphic groupwise Log-demons, to register all hearts in a common reference shape to perform the normalization. In this common space the GHM is estimated for all hearts and compared using an improved fitting method. Our results demonstrate improved consistency between GHM curvatures within a species and support a direct relation between myocardial shape and fiber curvature in the heart.

Original languageEnglish
Title of host publicationFunctional Imaging and Modeling of the Heart : 7th International Conference, FIMH 2013, London, UK, June 20-22, 2013. Proceedings
EditorsSébastien Ourselin, Daniel Rueckert, Nicolas Smith
Number of pages8
PublisherSpringer
Publication date2013
Pages442-449
ISBN (Print)978-3-642-38898-9
ISBN (Electronic)978-3-642-38899-6
DOIs
Publication statusPublished - 2013
Event7th International Conference on Functional Imaging and Modeling of the Heart - London, United Kingdom
Duration: 20 Jun 201322 Jun 2013
Conference number: 7

Conference

Conference7th International Conference on Functional Imaging and Modeling of the Heart
Number7
Country/TerritoryUnited Kingdom
CityLondon
Period20/06/201322/06/2013
SeriesLecture notes in computer science
Volume7945
ISSN0302-9743

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