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Proceedings Paper

Imaging and CFD in the analysis of vascular disease progression
Author(s): David Saloner; Gabriel Acevedo-Bolton; Vitaliy Rayz; Max Wintermark; Alastair Martin; Brad Dispensa; William Young; Michael Lawton; Joseph Rapp; Liang-Der Jou
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Paper Abstract

Conventional evaluation of the significance of vascular disease has focused on estimates of geometric factors. There is now substantial interest in investigating whether the onset and progression of vascular pathology can be related to hemodynamic factors. Current imaging modalities have excellent capabilities in delineating the geometric boundaries of the vascular lumen. Advanced non-invasive imaging modalities such as Multi Detector CT and MRI are also able to define the extent of disease within the vessel wall and to provide information on the composition of thrombotic and atherosclerotic components. Finally, it is also possible to use imaging techniques to measure flow velocities across the lumen of vessels of interest, and to determine the pulsatile variation of these velocities through the cardiac cycle. Despite these advanced capabilities, imaging alone is unable to determine important features of the vascular hemodynamics such as wall shear stress or pressure distributions. However, the information on lumenal geometry and the inlet and outlet flow conditions can be used as input into numerical simulation models that are able to predict those quantities. These Computational Fluid Dynamics models can be used to predict hemodynamic parameters on a patient-specific basis. It is therefore possible to use non-invasive imaging methods to follow the progression of vascular disease over time, and to relate changes in lumenal and wall structure to calculated hemodynamic descriptors. This approach can be used not only to understand the natural progression of vascular disease, but as a tool to predict the likely outcome of a surgical intervention.

Paper Details

Date Published: 13 March 2006
PDF: 10 pages
Proc. SPIE 6143, Medical Imaging 2006: Physiology, Function, and Structure from Medical Images, 61430G (13 March 2006); doi: 10.1117/12.662791
Show Author Affiliations
David Saloner, Univ. of California, San Francisco (United States)
VA Medical Center, San Francisco (United States)
Gabriel Acevedo-Bolton, VA Medical Center, San Francisco (United States)
Vitaliy Rayz, VA Medical Center, San Francisco (United States)
Max Wintermark, Univ. of California, San Francisco (United States)
Alastair Martin, Univ. of California, San Francisco (United States)
Brad Dispensa, Univ. of California, San Francisco (United States)
William Young, Univ. of California, San Francisco (United States)
Michael Lawton, Univ. of California, San Francisco (United States)
Joseph Rapp, Univ. of California, San Francisco (United States)
Liang-Der Jou, Univ. of California, San Francisco (United States)


Published in SPIE Proceedings Vol. 6143:
Medical Imaging 2006: Physiology, Function, and Structure from Medical Images
Armando Manduca; Amir A. Amini, Editor(s)

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