Optimised Computational Functional Imaging for Arteries.

Bibliographic Details
Title: Optimised Computational Functional Imaging for Arteries.
Authors: Moreno, Ramiro, Chau, Ming, Jeetoo, Shirod, Nicoud, Franck, Viart, Frédéric, Salvayre, Anne, Rousseau, Hervé
Source: High Performance Computing for Computational Science - Vecpar 2008; 2008, p420-429, 10p
Abstract: The general framework of the Optimised Computational Functional Imaging for Arteries (OCFIA) program is to introduce high-performance scientific computing in the medical domain with the aim to rationalize therapeutic decisions in respect to vascular diseases yet poorly understood. More precisely, it consists in coupling medical imaging techniques, essentially morphological, with scientific computing, through Computational Fluid Dynamics (CFD), to yield functional imaging, thus providing to physicians a better quantitative knowledge of the biomechanical state (field of speeds, pressure, wall and Stent Graft loads ...) to the patients. [ABSTRACT FROM AUTHOR]
Copyright of High Performance Computing for Computational Science - Vecpar 2008 is the property of Springer Nature / Books and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Complementary Index
More Details
ISBN:9783540928584
DOI:10.1007/978-3-540-92859-1_38
Published in:High Performance Computing for Computational Science - Vecpar 2008
Language:English