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From arteriographies to computational flow in saccular aneurisms: the INRIA experience

Summary: From arteriographies to computational flow in saccular
aneurisms: the INRIA experience
J.-D. Boissonnat *, R. Chaine, P. Frey, G. Malandain, S. Salmon, E. Saltel, M. Thiriet
, B.P. 105, F-78153 Le Chesnay Cedex, France
Available online 19 December 2004
Saccular aneurisms illustrate usefulness and possible techniques of image-based modeling of flow in diseased vessels. Aneurism
flow is investigated in order to estimate the rupture risk, assuming that the pressure is the major factor and that high-pressure zones
are correlated to within-wall strong-stress concentrations. Computational flow is also aimed at providing additional arguments for
the treatment strategy. Angiographies of aneurismal vessels of large and medium size are processed to provide three-dimensional
reconstruction of the vessel region of interest. Different reconstruction techniques are used for a side and a terminal aneurisms.
Reconstruction techniques may lead to different geometries especially with poor input data. The associated facetisation is improved
to get a computation-adapted surface triangulation, after a treatment of vessel ends and mesh adaptation. Once the volumic mesh is
obtained, the pulsatile flow of an incompressible Newtonian blood is computed using in vivo non-invasive flowmetry and the finite
element method. High pressure zones are observed in the aneurism cavity. The pressure magnitude in the aneurism, the location and
the size of high pressure zones depend mainly on the aneurism implantation on the vessel wall and its orientation with respect to the
blood flux in the upstream vessel. The stronger the blood impacts on the aneurismal wall the higher the pressure. The state of the
aneurism neck, where a high-pressure zone can occur, and the location of the aneurism, with an easy access or not, give arguments
for the choice between coiling and surgical clipping. Mesh size and 3D reconstruction procedure affect the numerical results. Helpful


Source: Ayache, Nicholas - INRIA


Collections: Computer Technologies and Information Sciences; Engineering