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Proceedings Paper

Toward modeling the effects of regional material properties on the wall stress distribution of abdominal aortic aneurysms
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Paper Abstract

The overall geometry and different biomechanical parameters of an abdominal aortic aneurysm (AAA), contribute to its severity and risk of rupture, therefore they could be used to track its progression. Previous and ongoing research efforts have resorted to using uniform material properties to model the behavior of AAA. However, it has been recently illustrated that different regions of the AAA wall exhibit different behavior due to the effect of the biological activities in the metalloproteinase matrix that makes up the wall at the aneurysm site. In this work, we introduce a non-invasive patientspecific regional material property model to help us better understand and investigate the AAA wall stress distribution, peak wall stress (PWS) severity, and potential rupture risk. Our results indicate that the PWS and the overall wall stress distribution predicted using the proposed regional material property model, are higher than those predicted using the traditional homogeneous, hyper-elastic model (p <1.43E-07). Our results also show that to investigate AAA, the overall geometry, presence of intra-luminal thrombus (ILT), and loading condition in a patient specific manner may be critical for capturing the biomechanical complexity of AAAs.

Paper Details

Date Published: 12 March 2018
PDF: 14 pages
Proc. SPIE 10578, Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging, 105780I (12 March 2018); doi: 10.1117/12.2294558
Show Author Affiliations
Golnaz Jalalahmadi, Rochester Institute of Technology (United States)
María Helguera, Rochester Institute of Technology (United States)
Instituto Tecnológico José Mario Molina Pasquel y Henríquez (Mexico)
Doran S. Mix, Rochester Institute of Technology (United States)
Univ. of Rochester Medical Ctr. (United States)
Cristian A. Linte, Rochester Institute of Technology (United States)


Published in SPIE Proceedings Vol. 10578:
Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging
Barjor Gimi; Andrzej Krol, Editor(s)

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