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Hemelb Acceleration and Visualization for Cerebral Aneurysms

Authors :
Julien Abinahed
Sarada Prasad Dakua
Minsi Chen
Faycal Bensaali
Robin A. Richardson
Abbes Amira
Sahar Soheilian Esfahani
Xiaojun Zhai
Peter V. Coveney
Georges Younes
Source :
ICIP
Publication Year :
2019
Publisher :
IEEE Computer Society, 2019.

Abstract

A weakness in the wall of a cerebral artery causing a dilation or ballooning of the blood vessel is known as a cerebral aneurysm. Optimal treatment requires fast and accurate diagnosis of the aneurysm. HemeLB is a fluid dynamics solver for complex geometries developed to provide neurosurgeons with information related to the flow of blood in and around aneurysms. On a cost efficient platform, HemeLB could be employed in hospitals to provide surgeons with the simulation results in real-time. In this work, we developed an improved version of HemeLB for GPU implementation and result visualization. A visualization platform for smooth interaction with end users is also presented. Finally, a comprehensive evaluation of this implementation is reported. The results demonstrate that the proposed implementation achieves a maximum performance of 15,168,964 site updates per second, and is capable of speeding up HemeLB for deployment in hospitals and clinical investigations. - 2019 IEEE. This paper was made possible by National Priorities Research Program (NPRP) grant No. 5-792-2-328 from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors. Scopus

Details

Language :
English
Database :
OpenAIRE
Journal :
ICIP
Accession number :
edsair.doi.dedup.....432075dab7bf1d183d1d2f6996aa1660