Abstract
There is an increased interest, in the field of cardiac modeling, for an improved coordinate system that can consistently describe local position within a heart geometry across various distinct geometries. A newly designed coordinate system, Cobiveco, meets these requirements. However, it assumes the use of biventricular models with a flat base, ignoring important cardiac structures. Therefore, we extended the scope of this state-of-the-art biventricular coordinate system to work with various heart geometries which include basal cardiac structures that were previously unaccounted for in Cobiveco. First, we implemented a semi-automated input surface assignment for increased accessibility and reproducibility of assigned coordinates. Then, we extended the coordinate system to handle more anatomically accurate biventricular models including the valve planes, which are of great interest when modeling diseases that manifest themselves in the basal area. Furthermore, we added the functionality of mapping vector data, such as myocardial fiber orientations, which are crucial for replicating the anisotropic electrical propagation in cardiac tissue.
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Pankewitz, L., Abdala, L., Bussooa, A., Arevalo, H. (2022). A Pipeline for Automated Coordinate Assignment in Anatomically Accurate Biventricular Models. In: McCabe, K.J. (eds) Computational Physiology. Simula SpringerBriefs on Computing(), vol 12. Springer, Cham. https://doi.org/10.1007/978-3-031-05164-7_1
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DOI: https://doi.org/10.1007/978-3-031-05164-7_1
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Publisher Name: Springer, Cham
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Online ISBN: 978-3-031-05164-7
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