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LinFlo-Net: A Two-Stage Deep Learning Method to Generate Simulation Ready Meshes of the Heart
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: We present a deep learning model to automatically generate computer models of the human heart from patient imaging data with an emphasis on its capability to generate thin-walled cardiac structures. Our method works by ...
Automating Model Generation for Image-Based Cardiac Flow Simulation
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Computational fluid dynamics (CFD) modeling of left ventricle (LV) flow combined with patient medical imaging data has shown great potential in obtaining patient-specific hemodynamics information for functional assessment ...
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