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AuthorEsfahani S.S.
AuthorZhai X.
AuthorChen M.
AuthorAmira A.
AuthorBensaali F.
AuthorAbinahed J.
AuthorDakua S.
AuthorYounes G.
AuthorRichardson R.A.
AuthorCoveney P.V.
Available date2020-04-23T14:21:35Z
Publication Date2019
Publication NameProceedings - International Conference on Image Processing, ICIP
ResourceScopus
ISSN15224880
URIhttp://dx.doi.org/10.1109/ICIP.2019.8803712
URIhttp://hdl.handle.net/10576/14385
AbstractA 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.
SponsorThis 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.
Languageen
PublisherIEEE Computer Society
SubjectCerebral aneurysm
SubjectGPU
SubjectHemeLB
SubjectVisualization
TitleHemelb Acceleration and Visualization for Cerebral Aneurysms
TypeConference Paper
Pagination1376-1380
Volume Number2019-September


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