A physics-based machine learning technique rapidly reconstructs the wall-shear stress and pressure fields in coronary arteries.

Autor: Morgan B; Department of Science and Engineering, Queen Mary University of London, London, United Kingdom., Murali AR; Laboratoire de Mécanique des Fluides et d'Acoustique UMR5509, INSA Lyon, Ecole Centrale de Lyon, University of Lyon, Ecully, France., Preston G; Department of Science and Engineering, Queen Mary University of London, London, United Kingdom., Sima YA; Department of Science and Engineering, Queen Mary University of London, London, United Kingdom., Marcelo Chamorro LA; Department of Science and Engineering, Queen Mary University of London, London, United Kingdom., Bourantas C; Bart's Heart Centre, London, United Kingdom., Torii R; Department of Mechanical Engineering, University College London, London, United Kingdom., Mathur A; Bart's Heart Centre, London, United Kingdom., Baumbach A; Bart's Heart Centre, London, United Kingdom., Jacob MC; Laboratoire de Mécanique des Fluides et d'Acoustique UMR5509, INSA Lyon, Ecole Centrale de Lyon, University of Lyon, Ecully, France., Karabasov S; Department of Science and Engineering, Queen Mary University of London, London, United Kingdom., Krams R; Department of Science and Engineering, Queen Mary University of London, London, United Kingdom.

Publikováno v: Frontiers in cardiovascular medicine [Front Cardiovasc Med] 2023 Sep 29; Vol. 10, pp. 1221541. Date of Electronic Publication: 2023 Sep 29 (Print Publication: 2023).