Patient-specific initial wall stress in abdominal aortic aneurysms with a backward incremental method.
Patient-specific wall stress simulations on abdominal aortic aneurysms may provide a better criterion for surgical intervention than the currently used maximum transverse diameter. In these simulations, it is common practice to compute the peak wall stress by applying the full systolic pressure directly on the aneurysm geometry as it appears in medical images. Since this approach does not account for the fact that the measured geometry is already experiencing a substantial load, it may lead to an incorrect systolic aneurysm shape. We have developed an approach to compute the wall stress on the true diastolic geometry at a given pressure with a backward incremental method. The method has been evaluated with a neo-Hookean material law for several simple test problems. The results show that the method can predict an unloaded configuration if the loaded geometry and the load applied are known. The effect of incorporating the initial diastolic stress has been assessed by using three patient-specific geometries acquired with cardiac triggered MR. The comparison shows that the commonly used approach leads to an unrealistically smooth systolic geometry and therefore provides an underestimation for the peak wall stress. Our backward incremental modelling approach overcomes these issues and provides a more plausible estimate for the systolic aneurysm volume and a significantly different estimate for the peak wall stress. When the approach is applied with a more complex material law which has been proposed specifically for abdominal aortic aneurysm similar effects are observed and the same conclusion can be drawn.
de Putter
S
S
Faculty of Biomedical Engineering, Technische Universiteit Eindhoven, The Netherlands. s.d.putter@tue.nl
Wolters
B J B M
BJ
Rutten
M C M
MC
Breeuwer
M
M
Gerritsen
F A
FA
van de Vosse
F N
FN
D017544:Aortic Aneurysm, Abdominal / Q000503:physiopathology*; D001696:Biomechanical Phenomena; D003198:Computer Simulation; D006801:Humans; D015233:Models, Statistical; D013314:Stress, Mechanical