HemeLB Acceleration and Visualization for Cerebral Aneurysm

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 proceedingConference contribution

Abstract

A weakness in the wall of a cerebral artery will cause a dilation or blood vessel ballooning which is called a cerebral aneurysm. The best treatment for the patients needs fast and accurate diagnosis of the aneurysm. HemeLB is a fluid flow simulation environment in complex geometries developed to help neurosurgeons with the aneurysm blood flow related information, therefore, a cost efficient platform for HemeLB implementation can be employed in hospitals to provide surgeons with the simulation results in real-time. In this work, an improved version of HemeLB for GPU implementation and result visualization is developed. A graphical user interface for smooth interaction with end users is also presented. Finally, a comprehensive evaluation of this implementation is reported. The obtained results demonstrate that the proposed implementation achieves a maximum performance of 15,168,964 site updates per second and is capable to speed up HemeLB for deployment in hospitals and clinical investigations.
LanguageEnglish
Title of host publication2019 International Conference on Image Processing
Subtitle of host publicationProceedings
PublisherIEEE
Pages1376-1380
Number of pages5
ISBN (Electronic)9781538662496
ISBN (Print)9781538662502
DOIs
Publication statusPublished - 26 Aug 2019
Event2019 26th IEEE International Conference on Image Processing - Taipei, Taiwan, Province of China
Duration: 22 Sep 201925 Sep 2019

Conference

Conference2019 26th IEEE International Conference on Image Processing
Abbreviated titleICIP 2019
CountryTaiwan, Province of China
CityTaipei
Period22/09/1925/09/19

Fingerprint

Visualization
Flow simulation
Blood vessels
Graphical user interfaces
Flow of fluids
Blood
Geometry
Costs
Graphics processing unit

Cite this

Soheilian Esfahani, S., Zhao, X., Chen, M., Amira, A., Bensaali, F., AbiNahed, J., ... Coveney, P. V. (2019). HemeLB Acceleration and Visualization for Cerebral Aneurysm. In 2019 International Conference on Image Processing: Proceedings (pp. 1376-1380). IEEE. https://doi.org/10.1109/ICIP.2019.8803712
Soheilian Esfahani, Sahar ; Zhao, Xiaojun ; Chen, Minsi ; Amira, Abbes ; Bensaali, Faycal ; AbiNahed, Julien ; Dakua, Sarada ; Younes, Georges ; Richardson, Robin A. ; Coveney, Peter V. / HemeLB Acceleration and Visualization for Cerebral Aneurysm. 2019 International Conference on Image Processing: Proceedings. IEEE, 2019. pp. 1376-1380
@inproceedings{1bcadcf5a0ee4e61b8a7783bb8a897d8,
title = "HemeLB Acceleration and Visualization for Cerebral Aneurysm",
abstract = "A weakness in the wall of a cerebral artery will cause a dilation or blood vessel ballooning which is called a cerebral aneurysm. The best treatment for the patients needs fast and accurate diagnosis of the aneurysm. HemeLB is a fluid flow simulation environment in complex geometries developed to help neurosurgeons with the aneurysm blood flow related information, therefore, a cost efficient platform for HemeLB implementation can be employed in hospitals to provide surgeons with the simulation results in real-time. In this work, an improved version of HemeLB for GPU implementation and result visualization is developed. A graphical user interface for smooth interaction with end users is also presented. Finally, a comprehensive evaluation of this implementation is reported. The obtained results demonstrate that the proposed implementation achieves a maximum performance of 15,168,964 site updates per second and is capable to speed up HemeLB for deployment in hospitals and clinical investigations.",
keywords = "Cerebral aneurysm, HemelB, Visualization, GPU",
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 = "8",
day = "26",
doi = "10.1109/ICIP.2019.8803712",
language = "English",
isbn = "9781538662502",
pages = "1376--1380",
booktitle = "2019 International Conference on Image Processing",
publisher = "IEEE",

}

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 Aneurysm. in 2019 International Conference on Image Processing: Proceedings. IEEE, pp. 1376-1380, 2019 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 Aneurysm. / Soheilian Esfahani, Sahar; Zhao, Xiaojun; Chen, Minsi; Amira, Abbes; Bensaali, Faycal; AbiNahed, Julien; Dakua, Sarada; Younes, Georges; Richardson, Robin A.; Coveney, Peter V.

2019 International Conference on Image Processing: Proceedings. IEEE, 2019. p. 1376-1380.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - HemeLB Acceleration and Visualization for Cerebral Aneurysm

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.

PY - 2019/8/26

Y1 - 2019/8/26

N2 - A weakness in the wall of a cerebral artery will cause a dilation or blood vessel ballooning which is called a cerebral aneurysm. The best treatment for the patients needs fast and accurate diagnosis of the aneurysm. HemeLB is a fluid flow simulation environment in complex geometries developed to help neurosurgeons with the aneurysm blood flow related information, therefore, a cost efficient platform for HemeLB implementation can be employed in hospitals to provide surgeons with the simulation results in real-time. In this work, an improved version of HemeLB for GPU implementation and result visualization is developed. A graphical user interface for smooth interaction with end users is also presented. Finally, a comprehensive evaluation of this implementation is reported. The obtained results demonstrate that the proposed implementation achieves a maximum performance of 15,168,964 site updates per second and is capable to speed up HemeLB for deployment in hospitals and clinical investigations.

AB - A weakness in the wall of a cerebral artery will cause a dilation or blood vessel ballooning which is called a cerebral aneurysm. The best treatment for the patients needs fast and accurate diagnosis of the aneurysm. HemeLB is a fluid flow simulation environment in complex geometries developed to help neurosurgeons with the aneurysm blood flow related information, therefore, a cost efficient platform for HemeLB implementation can be employed in hospitals to provide surgeons with the simulation results in real-time. In this work, an improved version of HemeLB for GPU implementation and result visualization is developed. A graphical user interface for smooth interaction with end users is also presented. Finally, a comprehensive evaluation of this implementation is reported. The obtained results demonstrate that the proposed implementation achieves a maximum performance of 15,168,964 site updates per second and is capable to speed up HemeLB for deployment in hospitals and clinical investigations.

KW - Cerebral aneurysm

KW - HemelB

KW - Visualization

KW - GPU

U2 - 10.1109/ICIP.2019.8803712

DO - 10.1109/ICIP.2019.8803712

M3 - Conference contribution

SN - 9781538662502

SP - 1376

EP - 1380

BT - 2019 International Conference on Image Processing

PB - IEEE

ER -

Soheilian Esfahani S, Zhao X, Chen M, Amira A, Bensaali F, AbiNahed J et al. HemeLB Acceleration and Visualization for Cerebral Aneurysm. In 2019 International Conference on Image Processing: Proceedings. IEEE. 2019. p. 1376-1380 https://doi.org/10.1109/ICIP.2019.8803712