Hemelb Acceleration and Visualization for Cerebral Aneurysms

Sahar Soheilian Esfahani; Xiaojun Zhao; Minsi Chen; Abbes Amira; Faycal Bensaali; Julien AbiNahed; Sarada Dakua; Georges Younes; Robin A. Richardson; Peter V. Coveney

doi:10.1109/ICIP.2019.8803712

Hemelb Acceleration and Visualization for Cerebral Aneurysms

Sahar Soheilian Esfahani, Xiaojun Zhao, Minsi Chen, Abbes Amira, Faycal Bensaali, Julien AbiNahed, Sarada Dakua, Georges Younes, Robin A. Richardson, Peter V. Coveney

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

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.

Original language	English
Title of host publication	2019 International Conference on Image Processing
Subtitle of host publication	Proceedings
Publisher	IEEE
Pages	1376-1380
Number of pages	5
ISBN (Electronic)	9781538662496
ISBN (Print)	9781538662502
DOIs	https://doi.org/10.1109/ICIP.2019.8803712
Publication status	Published - 26 Aug 2019
Event	26th IEEE International Conference on Image Processing - Taipei, Taiwan, Province of China Duration: 22 Sep 2019 → 25 Sep 2019 Conference number: 26 http://www.2019.ieeeicip.org/2019.ieeeicip.org/index.html

Publication series

Name	Proceedings - International Conference on Image Processing, ICIP
Volume	2019-September
ISSN (Print)	1522-4880

Conference

Conference	26th IEEE International Conference on Image Processing
Abbreviated title	ICIP 2019
Country/Territory	Taiwan, Province of China
City	Taipei
Period	22/09/19 → 25/09/19
Internet address	http://www.2019.ieeeicip.org/2019.ieeeicip.org/index.html

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This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/ICIP.2019.8803712Licence: Other

ICIP_Paper_v2_5Accepted author manuscript, 1.06 MBLicence: Unspecified

Cite this

Soheilian Esfahani, S., Zhao, X., Chen, M., Amira, A., Bensaali, F., AbiNahed, J., Dakua, S., Younes, G., Richardson, R. A., & Coveney, P. V. (2019). Hemelb Acceleration and Visualization for Cerebral Aneurysms. In 2019 International Conference on Image Processing: Proceedings (pp. 1376-1380). [8803712] (Proceedings - International Conference on Image Processing, ICIP; Vol. 2019-September). IEEE. https://doi.org/10.1109/ICIP.2019.8803712

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title = "Hemelb Acceleration and Visualization for Cerebral Aneurysms",

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.",

keywords = "Cerebral aneurysm, HemelB, Visualization, GPU, HemeLB",

author = "{Soheilian Esfahani}, Sahar and Xiaojun Zhao and Minsi Chen and Abbes Amira and Faycal Bensaali and Julien AbiNahed and Sarada Dakua and Georges Younes and Richardson, {Robin A.} and Coveney, {Peter V.}",

year = "2019",

month = aug,

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doi = "10.1109/ICIP.2019.8803712",

language = "English",

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publisher = "IEEE",

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note = "26th IEEE International Conference on Image Processing, ICIP 2019 ; Conference date: 22-09-2019 Through 25-09-2019",

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}

Soheilian Esfahani, S, Zhao, X, Chen, M, Amira, A, Bensaali, F, AbiNahed, J, Dakua, S, Younes, G, Richardson, RA & Coveney, PV 2019, Hemelb Acceleration and Visualization for Cerebral Aneurysms. in 2019 International Conference on Image Processing: Proceedings., 8803712, Proceedings - International Conference on Image Processing, ICIP, vol. 2019-September, IEEE, pp. 1376-1380, 26th IEEE International Conference on Image Processing, Taipei, Taiwan, Province of China, 22/09/19. https://doi.org/10.1109/ICIP.2019.8803712

Hemelb Acceleration and Visualization for Cerebral Aneurysms. / Soheilian Esfahani, Sahar; Zhao, Xiaojun; Chen, Minsi et al.

2019 International Conference on Image Processing: Proceedings. IEEE, 2019. p. 1376-1380 8803712 (Proceedings - International Conference on Image Processing, ICIP; Vol. 2019-September).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Hemelb Acceleration and Visualization for Cerebral Aneurysms

AU - Soheilian Esfahani, Sahar

AU - Zhao, Xiaojun

AU - Chen, Minsi

AU - Amira, Abbes

AU - Bensaali, Faycal

AU - AbiNahed, Julien

AU - Dakua, Sarada

AU - Younes, Georges

AU - Richardson, Robin A.

AU - Coveney, Peter V.

N1 - Conference code: 26

PY - 2019/8/26

Y1 - 2019/8/26

N2 - 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.

AB - 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.

KW - Cerebral aneurysm

KW - HemelB

KW - Visualization

KW - GPU

KW - HemeLB

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DO - 10.1109/ICIP.2019.8803712

M3 - Conference contribution

SN - 9781538662502

T3 - Proceedings - International Conference on Image Processing, ICIP

SP - 1376

EP - 1380

BT - 2019 International Conference on Image Processing

PB - IEEE

T2 - 26th IEEE International Conference on Image Processing

Y2 - 22 September 2019 through 25 September 2019

ER -

Hemelb Acceleration and Visualization for Cerebral Aneurysms

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Minsi Chen