DocumentCode :
617451
Title :
Practical patient-specific cardiac blood flow simulations using SPH
Author :
Kulp, Scott ; Mingchen Gao ; Shaoting Zhang ; Zhen Qian ; Voros, S. ; Metaxas, Dimitris ; Axel, L.
Author_Institution :
CBIM Center, Rutgers Univ., Piscataway, NJ, USA
fYear :
2013
fDate :
7-11 April 2013
Firstpage :
832
Lastpage :
835
Abstract :
While recent developments in the field of ventricular blood flow simulations have pushed modeling to increasingly high levels of accuracy, there has been a steep cost in computation time. Current state-of-the-art simulators take days to run, which is impractical for use in a clinical setting. In this paper, we describe novel adaptations of the SPH algorithm to this problem to achieve an order of magnitude faster performance, while maintaining accuracy in the flow. By constructing appropriate boundary particles and wall motion and adding a fast collision detection component to an existing SPH architecture, our system is able to simulate a cardiac cycle in as little as 30 minutes. This breakthrough will, in the near future, allow the useful simulation of blood flow and its related characterization for clinically useful applications.
Keywords :
blood; blood vessels; cardiology; computerised tomography; flow simulation; haemodynamics; image motion analysis; medical image processing; SPH algorithm; SPH architecture; boundary particles; cardiac cycle simulation; computerised tomography; current state-of-the-art simulators; fast collision detection component; practical patient-specific cardiac blood flow simulations; ventricular blood flow simulations; wall motion; Blood; Computational modeling; Computed tomography; Graphics processing units; Heart; Mathematical model; Medical services; Blood flow; CT; SPH; cardiac;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Imaging (ISBI), 2013 IEEE 10th International Symposium on
Conference_Location :
San Francisco, CA
ISSN :
1945-7928
Print_ISBN :
978-1-4673-6456-0
Type :
conf
DOI :
10.1109/ISBI.2013.6556604
Filename :
6556604
Link To Document :
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