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HEMELB Acceleration and Visualization for Cerebral Aneurysms

Esfahani, Sahar Soheilian and Zhai, Xiaojun and Chen, Minsi and Amira, Abbes and Bensaali, Faycal and AbiNahed, Julien and Dakua, Sarada and Younes, Georges and Richardson, Robin A and Coveney, Peter V (2019) HEMELB Acceleration and Visualization for Cerebral Aneurysms. In: The 26th IEEE International Conference on Image Processing, 2019-09-22 - 2019-09-25, Taipei, Taiwan. (In Press)

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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.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: _not provided_
Uncontrolled Keywords: physics.comp-ph, physics.comp-ph, cs.CV, cs.GR
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Elements
Date Deposited: 09 Jul 2019 09:46
Last Modified: 09 Jul 2019 10:15
URI: http://repository.essex.ac.uk/id/eprint/24952

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