Development of idealized human aortic models for in vitro and in silico hemodynamic studies

• Published in: Frontiers in cardiovascular medicine Vol. 11; p. 1358601
• Main Authors: Mansouri, Hamid, Kemerli, Muaz, MacIver, Robroy, Amili, Omid
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Media S.A 05.08.2024
• Subjects: aorta; CAD model; Cardiovascular Medicine; idealized model; in silico; in vitro; PIV; CFD; idealized model; CAD model; in vitro; aorta; in silico; PIV
• ISSN: 2297-055X; 2297-055X
• DOI: 10.3389/fcvm.2024.1358601

The aorta, a central component of the cardiovascular system, plays a pivotal role in ensuring blood circulation. Despite its importance, there is a notable lack of idealized models for experimental and computational studies. This study aims to develop computer-aided design (CAD) models for the idealized human aorta, intended for studying hemodynamics or solid mechanics in both and settings. Various parameters were extracted from comprehensive literature sources to evaluate major anatomical characteristics of the aorta in healthy adults, including variations in aortic arch branches and corresponding dimensions. The idealized models were generated based on averages weighted by the cohort size of each study for several morphological parameters collected and compiled from image-based or cadaveric studies, as well as data from four recruited subjects. The models were used for hemodynamics assessment using particle image velocimetry (PIV) measurements and computational fluid dynamics (CFD) simulations. Two CAD models for the idealized human aorta were developed, focusing on the healthy population. The CFD simulations, which align closely with the PIV measurements, capture the main global flow features and wall shear stress patterns observed in patient-specific cases, demonstrating the capabilities of the designed models. The collected statistical data on the aorta and the two idealized aorta models, covering prevalent arch variants known as Normal and Bovine types, are shown to be useful for examining the hemodynamics of the aorta. They also hold promise for applications in designing medical devices where anatomical statistics are needed.