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15 March 2019Constructing an average geometry and diffusion tensor magnetic resonance field from freshly explanted porcine hearts

Mia Mojica,Mihaela Pop,Maxime Sermesant,Mehran Ebrahimi

Author Affiliations +

Mia Mojica,¹ Mihaela Pop,² Maxime Sermesant,³ Mehran Ebrahimi¹

¹Univ. of Ontario Institute of Technology (Canada)
²Univ. of Toronto (Canada)
³Institut National de Recherche en Informatique et en Automatique (France)

Proceedings Volume 10949, Medical Imaging 2019: Image Processing; 109493C (2019)https://doi.org/10.1117/12.2512870
Event:SPIE Medical Imaging, 2019, San Diego, California, United States

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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.

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Mia Mojica,Mihaela Pop,Maxime Sermesant, andMehran Ebrahimi"Constructing an average geometry and diffusion tensor magnetic resonance field from freshly explanted porcine hearts", Proc. SPIE 10949, Medical Imaging 2019: Image Processing, 109493C (15 March 2019);https://doi.org/10.1117/12.2512870

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