One mesh to rule them all: Registration-based personalized cardiac flow simulations

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Abstract

The simulation of cardiac blood flow using patient-specific geometries can help for the diagnosis and treatment of cardiac diseases. Current patient-specific cardiac flow simulations requires a significant amount of human expertise and time to pre-process image data and obtain a case ready for simulations. A new procedure is proposed to alleviate this pre-processing by registering a unique generic mesh on patient-specific cardiac segmentations and transferring appropriately the spatiotemporal dynamics of the ventricle. The method is applied on real patient data acquired from 3D ultrasound imaging. Both a healthy and a pathological conditions are simulated. The resulting simulations exhibited physiological flow behavior in cardiac cavities. The experiments confirm a significant reduction in pre-processing work.

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This, A., Boilevin-Kayl, L., Morales, H. G., Bonnefous, O., Allain, P., Fernández, M. A., & Gerbeau, J. F. (2017). One mesh to rule them all: Registration-based personalized cardiac flow simulations. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10263 LNCS, pp. 441–449). Springer Verlag. https://doi.org/10.1007/978-3-319-59448-4_42

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