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Proceedings Paper

Computational biomechanics and experimental validation of vessel deformation based on 4D-CT imaging of the porcine aorta
Author(s): Dilana Hazer; Ender A. Finol; Michael Kostrzewa; Maria Kopaigorenko; Götz-M. Richter; Rüdiger Dillmann
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Paper Abstract

Cardiovascular disease results from pathological biomechanical conditions and fatigue of the vessel wall. Image-based computational modeling provides a physical and realistic insight into the patient-specific biomechanics and enables accurate predictive simulations of development, growth and failure of cardiovascular disease. An experimental validation is necessary for the evaluation and the clinical implementation of such computational models. In the present study, we have implemented dynamic Computed-Tomography (4D-CT) imaging and catheter-based in vivo measured pressures to numerically simulate and experimentally evaluate the biomechanics of the porcine aorta. The computations are based on the Finite Element Method (FEM) and simulate the arterial wall response to the transient pressure-based boundary condition. They are evaluated by comparing the numerically predicted wall deformation and that calculated from the acquired 4D-CT data. The dynamic motion of the vessel is quantified by means of the hydraulic diameter, analyzing sequences at 5% increments over the cardiac cycle. Our results show that accurate biomechanical modeling is possible using FEM-based simulations. The RMS error of the computed hydraulic diameter at five cross-sections of the aorta was 0.188, 0.252, 0.280, 0.237 and 0.204 mm, which is equivalent to 1.7%, 2.3%, 2.7%, 2.3% and 2.0%, respectively, when expressed as a function of the time-averaged hydraulic diameter measured from the CT images. The present investigation is a first attempt to simulate and validate vessel deformation based on realistic morphological data and boundary conditions. An experimentally validated system would help in evaluating individual therapies and optimal treatment strategies in the field of minimally invasive endovascular surgery.

Paper Details

Date Published: 27 February 2009
PDF: 9 pages
Proc. SPIE 7262, Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging, 72621F (27 February 2009); doi: 10.1117/12.811765
Show Author Affiliations
Dilana Hazer, Univ. of Karlsruhe (Germany)
Carnegie Mellon Univ. (United States)
Ender A. Finol, Carnegie Mellon Univ. (United States)
Michael Kostrzewa, Univ. Hospital Heidelberg (Germany)
Maria Kopaigorenko, Univ. of Karlsruhe (Germany)
Götz-M. Richter, Univ. Hospital Heidelberg (Germany)
Rüdiger Dillmann, Univ. of Karlsruhe (Germany)


Published in SPIE Proceedings Vol. 7262:
Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging
Xiaoping P. Hu; Anne V. Clough, Editor(s)

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