Author:

Keywords:

Science & Technology, Technology, Life Sciences & Biomedicine, Physical Sciences, Engineering, Biomedical, Mathematical & Computational Biology, Mathematics, Interdisciplinary Applications, Engineering, Mathematics, arterial tissue, collagen fiber distribution, constrained mixture theory, COLLAGEN, STRESS, GROWTH, IMPLEMENTATION, ORIENTATIONS, PREDICTION, MECHANICS, AORTAS, ENERGY, Humans, Arteries, Collagen, Extracellular Matrix, Aorta, Abdominal, Stress, Mechanical, Biomechanical Phenomena, G029819N#54967350, 01 Mathematical Sciences, 09 Engineering, Applied Mathematics, 40 Engineering, 49 Mathematical sciences

Abstract:

Collagen fibers and their orientation greatly influence an artery's mechanical characteristics, determining its transversely isotropic behavior. It is generally assumed that these fibers are deposited along a preferred direction to maximize the load bearing capacity of the vessel wall. This implies a large spatial variation in collagen orientation which can be reconstructed in numerical models using so-called reorientation algorithms. Until now, these algorithms have used the classical continuum mechanics modeling framework which requires knowledge of tissue-level parameters and the artery's stress-free reference state, which is inaccessible in a clinical context. We present an algorithm to compute the preferred fiber distribution compatible with the constrained mixture theory, which orients two collagen fiber families according to the loading experienced by the isotropic non-collagenous extracellular matrix, without requiring prior knowledge of the stress-free state. Because consensus is lacking whether stress or stretch is the determining factor behind the preferred fiber distribution, we implemented both approaches and compared the results with experimental microstructural data of an abdominal aorta. The stress-based algorithm was able to describe several experimentally observed transitions of the fiber distribution across the intima, media and adventitia.