Computational biomechanics and experimental validation of vessel deformation based on 4D-CT imaging of the porcine aorta

Dilana Hazer; Ender A. Finol; Michael Kostrzewa; Maria Kopaigorenko; Götz-M. Richter; Rüdiger Dillmann

doi:10.1117/12.811765

27 February 2009 Computational biomechanics and experimental validation of vessel deformation based on 4D-CT imaging of the porcine aorta

Dilana Hazer, Ender A. Finol, Michael Kostrzewa, Maria Kopaigorenko, Götz-M. Richter, Rüdiger Dillmann

Author Affiliations +

Proceedings Volume 7262, Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging; 72621F (2009) https://doi.org/10.1117/12.811765
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States

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.

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Dilana Hazer, Ender A. Finol, Michael Kostrzewa, Maria Kopaigorenko, Götz-M. Richter, and Rüdiger Dillmann "Computational biomechanics and experimental validation of vessel deformation based on 4D-CT imaging of the porcine aorta", Proc. SPIE 7262, Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging, 72621F (27 February 2009); https://doi.org/10.1117/12.811765

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