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Toward modeling the effects of regional material properties on the wall stress distribution of abdominal aortic aneurysms.
Jalalahmadi, Golnaz; Helguera, María; Mix, Doran S; Linte, Cristian A.
Afiliação
  • Jalalahmadi G; Chester F. Carlson Center for Imaging Science, Rochester Institute of Technology, Rochester, USA.
  • Helguera M; Chester F. Carlson Center for Imaging Science, Rochester Institute of Technology, Rochester, USA.
  • Mix DS; Instituto Tecnológico José Mario Molina Pasquel y Henríquez - Unidad Lagos de Moreno, Jalisco, México.
  • Linte CA; Chester F. Carlson Center for Imaging Science, Rochester Institute of Technology, Rochester, USA.
Article em En | MEDLINE | ID: mdl-31213733
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 patient-specific 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.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2018 Tipo de documento: Article