MeshGrow Published in JRSM Cardiovascular Disease

Our paper on MeshGrow was just published, open access, in JRSM Cardiovascular Disease!

MeshGrow is an integrated framework for building simulation-ready cardiac and vascular models directly from medical images. It combines two machine learning based techniques in a two-stage approach: first meshing the cardiac chambers, then growing the aorta and its main sub-branches out from the heart, and returns a single simulation-suitable mesh with a defined aortic valve surface and the boundary surfaces needed to run patient-specific hemodynamics simulations.

This journal article extends our earlier FIMH 2025 conference paper with additional test cases and full three-dimensional CFD simulations. Work with Arjun Narayanan, Fanwei Kong, and my PhD advisor Prof. Shawn Shadden.

Here is the link to the paper: MeshGrow: Integrated framework for simulation-ready cardiac and vascular mesh construction from medical imaging