Investigation of hemodynamic bulk flow patterns caused by aortic stenosis using a combined 4D Flow MRI-CFD framework

• Published in: PLoS computational biology Vol. 21; no. 3; p. e1012467
• Main Authors: Wang, Tianai, Quast, Christine, Bönner, Florian, Kelm, Malte, Zeus, Tobias, Lemainque, Teresa, Steinseifer, Ulrich, Neidlin, Michael
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 27.03.2025
• Subjects: Aged; Aorta - physiopathology; Aortic valve stenosis; Aortic Valve Stenosis - physiopathology; Biology and Life Sciences; Blood flow; Blood Flow Velocity - physiology; Complications and side effects; Computational Biology; Computer Simulation; Computer-generated environments; Female; Hemodynamics; Hemodynamics - physiology; Humans; Imaging, Three-Dimensional - methods; Investigations; Magnetic resonance imaging; Magnetic Resonance Imaging - methods; Male; Medical research; Medicine and Health Sciences; Medicine, Experimental; Methods; Models, Cardiovascular; Physical Sciences; Research and Analysis Methods; Germany

Aortic stenosis (AS) leads to alterations of supra-valvular flow patterns which can cause increased damage of red blood cell (RBC) membranes. We investigated these patient specific patterns of a severe AS patient and their reversal in healthy flow through a 4D Flow MRI-based CFD methodology. Computa...