March 11, 2024, 4:45 a.m. | Daniel H. Pak, Minliang Liu, Theodore Kim, Caglar Ozturk, Raymond McKay, Ellen T. Roche, Rudolph Gleason, James S. Duncan

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.04998v1 Announce Type: cross
Abstract: Calcification has significant influence over cardiovascular diseases and interventions. Detailed characterization of calcification is thus desired for predictive modeling, but calcified heart meshes for physics-driven simulations are still often reconstructed using manual operations. This poses a major bottleneck for large-scale adoption of computational simulations for research or clinical use. To address this, we propose an end-to-end automated meshing algorithm that enables robust incorporation of patient-specific calcification onto a given heart mesh. The algorithm provides a …

abstract adoption arxiv automated computational cs.ce cs.cv digital digital twins diseases influence major meshes modeling operations physics predictive predictive modeling research robust scale simulations twins type

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