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Constructing an average geometry and diffusion tensor magnetic resonance field from freshly explanted porcine hearts
Author(s): Mia Mojica; Mihaela Pop; Maxime Sermesant; Mehran Ebrahimi
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Paper Abstract

The local arrangement of cardiac fibers provides insight into the electrical and mechanical functions of the heart. Fiber directions can be obtained using diffusion tensor (DT) MR imaging and further integrated into computational heart models for accurate predictions of activation times and contraction. However, this information is not available due to limitations of cardiac in-vivo DTI; thus, an average atlas could be used instead of individual fiber directions. In this work, we present a simple and computationally efficient pipeline for constructing a novel statistical cardiac atlas from ex-vivo high resolution DT images of porcine hearts. Our framework involves normalizing the cardiac geometries, reorienting local directional information on diffusion, and computing the average diffusion tensor field. The registration step eliminates the need for landmarks, while the tensor reorientation strategy enables the transformation of the diffusion tensors and preserves the diffusion tensor orientations.

Paper Details

Date Published: 15 March 2019
PDF: 7 pages
Proc. SPIE 10949, Medical Imaging 2019: Image Processing, 109493C (15 March 2019); doi: 10.1117/12.2512870
Show Author Affiliations
Mia Mojica, Univ. of Ontario Institute of Technology (Canada)
Mihaela Pop, Univ. of Toronto (Canada)
Maxime Sermesant, Institut National de Recherche en Informatique et en Automatique (France)
Mehran Ebrahimi, Univ. of Ontario Institute of Technology (Canada)

Published in SPIE Proceedings Vol. 10949:
Medical Imaging 2019: Image Processing
Elsa D. Angelini; Bennett A. Landman, Editor(s)

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