TY - GEN
T1 - Fluid structure interaction for patient specific risk assessment in ruptured abdominal aortic aneurysms
AU - Rambhia, S. H.
AU - Xenos, M.
AU - Bluestein, D.
PY - 2009
Y1 - 2009
N2 - Rupture of abdominal aortic aneurysm (AAA), having a mortality rate of 50-75%, ranks as the 13th leading cause of death in the US. The ability to reliably predict the risk of rupture of AAA on a patient-specific basis could vastly improve the clinical management of these patients. Computed tomography scans of patients that arrived at Stony Brook University Hospital emergency room, with contained ruptures of the abdominal aorta, were obtained prior to surgery. Three-dimensional AAA geometries were reconstructed to model the AAA at the threshold of rupture. Fluid structure interaction (FSI) modeling was performed to predict the location of rupture by mapping the stress distribution within the aneurismal wall. Advanced constitutive material models were utilized to incorporate an anisotropic wall fiber orientation into the vessel wall. FSI simulations incorporated these material properties and extract stress distribution maps and other hemodynamic parameters, such as blood velocity, to pinpoint regions of high rupture risk. Results from FSI simulations indicate a positive correlation between the simulated region of highest wall stress and original region of rupture. The highest wall stress occurs during peak systole and is higher than 0.5MPa. Ultimately, this information can provide a quantitative clinical assessment of rupture risk for AAAs.
AB - Rupture of abdominal aortic aneurysm (AAA), having a mortality rate of 50-75%, ranks as the 13th leading cause of death in the US. The ability to reliably predict the risk of rupture of AAA on a patient-specific basis could vastly improve the clinical management of these patients. Computed tomography scans of patients that arrived at Stony Brook University Hospital emergency room, with contained ruptures of the abdominal aorta, were obtained prior to surgery. Three-dimensional AAA geometries were reconstructed to model the AAA at the threshold of rupture. Fluid structure interaction (FSI) modeling was performed to predict the location of rupture by mapping the stress distribution within the aneurismal wall. Advanced constitutive material models were utilized to incorporate an anisotropic wall fiber orientation into the vessel wall. FSI simulations incorporated these material properties and extract stress distribution maps and other hemodynamic parameters, such as blood velocity, to pinpoint regions of high rupture risk. Results from FSI simulations indicate a positive correlation between the simulated region of highest wall stress and original region of rupture. The highest wall stress occurs during peak systole and is higher than 0.5MPa. Ultimately, this information can provide a quantitative clinical assessment of rupture risk for AAAs.
UR - https://www.scopus.com/pages/publications/70349110039
U2 - 10.1109/NEBC.2009.4967635
DO - 10.1109/NEBC.2009.4967635
M3 - Conference contribution
AN - SCOPUS:70349110039
SN - 9781424443628
T3 - Proceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC
BT - NEBEC 2009 - Proceedings of the IEEE 35th Annual Northeast Bioengineering Conference
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE 35th Annual Northeast Bioengineering Conference, NEBEC 2009
Y2 - 3 April 2009 through 5 April 2009
ER -