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In vivo determination of elastic properties of the human aorta based on 4D ultrasound data

Computational analysis of the biomechanics of the vascular system aims at a better understanding of its physiology and pathophysiology. To be of clinical use, however, these models and thus their predictions, have to be patient specific regarding geometry, boundary conditions and material. In this p...

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Published in:Journal of the mechanical behavior of biomedical materials 2013-11, Vol.27, p.167-183
Main Authors: Wittek, Andreas, Karatolios, Konstantinos, Bihari, Peter, Schmitz-Rixen, Thomas, Moosdorf, Rainer, Vogt, Sebastian, Blase, Christopher
Format: Article
Language:English
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Summary:Computational analysis of the biomechanics of the vascular system aims at a better understanding of its physiology and pathophysiology. To be of clinical use, however, these models and thus their predictions, have to be patient specific regarding geometry, boundary conditions and material. In this paper we present an approach to determine individual material properties of human aortae based on a new type of in vivo full field displacement data acquired by dimensional time resolved three dimensional ultrasound (4D-US) imaging. We developed a nested iterative Finite Element Updating method to solve two coupled inverse problems: The prestrains that are present in the imaged diastolic configuration of the aortic wall are determined. The solution of this problem is integrated in an iterative method to identify the nonlinear hyperelastic anisotropic material response of the aorta to physiologic deformation states. The method was applied to 4D-US data sets of the abdominal aorta of five healthy volunteers and verified by a numerical experiment. This non-invasive in vivo technique can be regarded as a first step to determine patient individual material properties of the human aorta. [Display omitted] •In vivo acquisition of full field displacement data by three-dimensional ultrasound.•Nested iterative Finite Element Updating method based approach.•Individual identification of the in vivo mechanical state.•Non-invasive in vivo approach towards individualized computational modeling.
ISSN:1751-6161
1878-0180
DOI:10.1016/j.jmbbm.2013.03.014