29 March 2007 Analysis of intracranial aneurysm wall motion and its effects on hemodynamic patterns
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Proceedings Volume 6511, Medical Imaging 2007: Physiology, Function, and Structure from Medical Images; 65112A (2007); doi: 10.1117/12.708937
Event: Medical Imaging, 2007, San Diego, CA, United States
Abstract
Hemodynamics, and in particular Wall Shear Stress (WSS), is thought to play a critical role in the progression and rupture of intracranial aneurysms. Wall motion is related to local biomechanical properties of the aneurysm, which in turn are associated with the amount of damage undergone by the tissue. The underlying hypothesis in this work is that injured regions show differential motion with respect to normal ones, allowing a connection between local wall biomechanics and a potential mechanism of wall injury such as elevated WSS. In a previous work, a novel method was presented combining wall motion estimation using image registration techniques with Computational Fluid Dynamics (CFD) simulations in order to provide realistic intra-aneurysmal flow patterns. It was shown that, when compared to compliant vessels, rigid models tend to overestimate WSS and produce smaller areas of elevated WSS and force concentration, being the observed differences related to the magnitude of the displacements. This work aims to further study the relationships between wall motion, flow patterns and risk of rupture in aneurysms. To this end, four studies containing both 3DRA and DSA studies were analyzed, and an improved version of the method developed previously was applied to cases showing wall motion. A quantification and analysis of the displacement fields and their relationships to flow patterns are presented. This relationship may play an important role in understanding interaction mechanisms between hemodynamics, wall biomechanics, and the effect on aneurysm evolution mechanisms.
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Estanislao Oubel, Mathieu De Craene, Christopher M. Putman, Juan R. Cebral, Alejandro F. Frangi, "Analysis of intracranial aneurysm wall motion and its effects on hemodynamic patterns", Proc. SPIE 6511, Medical Imaging 2007: Physiology, Function, and Structure from Medical Images, 65112A (29 March 2007); doi: 10.1117/12.708937; https://doi.org/10.1117/12.708937
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KEYWORDS
Arteries

Hemodynamics

Motion models

Motion estimation

3D modeling

Motion analysis

Image registration

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