scholarly journals Characterization of the transport topology in patient-specific abdominal aortic aneurysm models

2012 ◽  
Vol 24 (8) ◽  
pp. 081901 ◽  
Author(s):  
Amirhossein Arzani ◽  
Shawn C. Shadden
Author(s):  
Steven P. Marra ◽  
Francis E. Kennedy ◽  
Mark F. Fillinger

An abdominal aortic aneurysm (AAA) is an abnormal, localized enlargement of the aorta. If untreated, a AAA will continue to enlarge in size and eventually rupture. Currently, AAA diameter is used as the principal indicator of impending rupture. However, this method it is not totally reliable. In an effort to improve the estimation of rupture risk, some researchers are currently studying the mechanical wall stresses of AAAs using patient-specific medical imaging techniques and finite element modeling [1,2]. The accuracy of these models depends significantly on the constitutive law used to describe the mechanical properties of the AAA tissue. To date, only isotropic constitutive laws have been used in these models.


2016 ◽  
Vol 138 (10) ◽  
Author(s):  
Santanu Chandra ◽  
Vimalatharmaiyah Gnanaruban ◽  
Fabian Riveros ◽  
Jose F. Rodriguez ◽  
Ender A. Finol

In this work, we present a novel method for the derivation of the unloaded geometry of an abdominal aortic aneurysm (AAA) from a pressurized geometry in turn obtained by 3D reconstruction of computed tomography (CT) images. The approach was experimentally validated with an aneurysm phantom loaded with gauge pressures of 80, 120, and 140 mm Hg. The unloaded phantom geometries estimated from these pressurized states were compared to the actual unloaded phantom geometry, resulting in mean nodal surface distances of up to 3.9% of the maximum aneurysm diameter. An in-silico verification was also performed using a patient-specific AAA mesh, resulting in maximum nodal surface distances of 8 μm after running the algorithm for eight iterations. The methodology was then applied to 12 patient-specific AAA for which their corresponding unloaded geometries were generated in 5–8 iterations. The wall mechanics resulting from finite element analysis of the pressurized (CT image-based) and unloaded geometries were compared to quantify the relative importance of using an unloaded geometry for AAA biomechanics. The pressurized AAA models underestimate peak wall stress (quantified by the first principal stress component) on average by 15% compared to the unloaded AAA models. The validation and application of the method, readily compatible with any finite element solver, underscores the importance of generating the unloaded AAA volume mesh prior to using wall stress as a biomechanical marker for rupture risk assessment.


IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 61896-61903 ◽  
Author(s):  
Andrzej Polanczyk ◽  
Michal Podgorski ◽  
Maciej Polanczyk ◽  
Aleksandra Piechota-Polanczyk ◽  
Christoph Neumayer ◽  
...  

Circulation ◽  
2020 ◽  
Vol 141 (10) ◽  
pp. 866-868 ◽  
Author(s):  
Zachary J. Wanken ◽  
Spencer W. Trooboff ◽  
Barbara Gladders ◽  
Jesse A. Columbo ◽  
Niveditta Ramkumar ◽  
...  

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