A problem solving environment for image-based computational hemodynamics

We introduce a complete problem solving environment designed for pulsatile flows in 3D complex geometries, especially arteries. Three-dimensional images from arteries, obtained from e.g. Magnetic Resonance Imaging, are segmented to obtain a geometrical description of the arteries of interest. This s...

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Bibliographic Details
Main Authors: Schaap, Jorrit A., Hoekstra, Alfons G., Box, Frieke M. A., Reiber, Johan H. C., Sloot, Peter M. A., Shamonin, Denis, Abrahamyan, Lilit, Geest, Rob J. van der
Other Authors: School of Computer Engineering
Format: Conference or Workshop Item
Language:English
Published: 2013
Online Access:https://hdl.handle.net/10356/96050
http://hdl.handle.net/10220/10136
http://link.springer.com/chapter/10.1007%2F11428831_36
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Institution: Nanyang Technological University
Language: English
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Summary:We introduce a complete problem solving environment designed for pulsatile flows in 3D complex geometries, especially arteries. Three-dimensional images from arteries, obtained from e.g. Magnetic Resonance Imaging, are segmented to obtain a geometrical description of the arteries of interest. This segmented artery is prepared for blood flow simulations in a 3D editing tool, allowing to define in- and outlets, to filter and crop part of the artery, to add certain structures ( e.g. a by-pass, or stents ), and to generate computational meshes as input to the blood flow simulators. Using dedicated fluid flow solvers the time dependent blood flow in the artery during one systole is computed. The resulting flow, pressure and shear stress fields are then analyzed using a number of visualization techniques. The whole environment can be operated from a desktop virtual reality system, and is embedded in a Grid computing environment.