Residential College | false |
Status | 已發表Published |
Efficient parallel simulation of hemodynamics in patient-specific abdominal aorta with aneurysm | |
Qin, Shanlin1; Wu, Bokai1; Liu, Jia1; Shiu, Wen Shin1; Yan, Zhengzheng1; Chen, Rongliang1,2; Cai, Xiao Chuan3 | |
2021-09-01 | |
Source Publication | COMPUTERS IN BIOLOGY AND MEDICINE |
ISSN | 0010-4825 |
Volume | 136Pages:104652 |
Abstract | Surgical planning for aortic aneurysm repair is a difficult task. In addition to the morphological features obtained from medical imaging, alternative features obtained with computational modeling may provide additional useful information. Though numerical studies are noninvasive, they are often time-consuming, especially when we need to study and compare multiple repair scenarios, because of the high computational complexity. In this paper, we present a highly parallel algorithm for the numerical simulation of unsteady blood flows in the patient-specific abdominal aorta before and after the aneurysmic repair. We model the blood flow with the unsteady incompressible Navier-Stokes equations with different outlet boundary conditions, and solve the discretized system with a highly scalable domain decomposition method. With this approach, a high resolution simulation of a full-size adult aorta can be obtained in less than an hour, instead of days with older methods and software. In addition, we show that the parallel efficiency of the proposed method is near 70% on a parallel computer with 2, 880 processor cores. |
Keyword | Abdominal Aorta With Aneurysm Blood Flow Domain Decomposition Finite Element Fully Implicit Time Integration Parallel Computing |
DOI | 10.1016/j.compbiomed.2021.104652 |
URL | View the original |
Indexed By | SCIE |
Language | 英語English |
WOS Research Area | Life Sciences & Biomedicine - Other Topics ; Computer Science ; Engineering ; Mathematical & Computational Biology |
WOS Subject | Biology ; Computer Science, Interdisciplinary Applications ; Engineering, Biomedical ; Mathematical & Computational Biology |
WOS ID | WOS:000696941900002 |
Publisher | PERGAMON-ELSEVIER SCIENCE LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND |
Scopus ID | 2-s2.0-85111220078 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | Faculty of Science and Technology DEPARTMENT OF MATHEMATICS |
Corresponding Author | Chen, Rongliang; Cai, Xiao Chuan |
Affiliation | 1.Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China 2.Shenzhen Key Laboratory for Exascale Engineering and Scientific Computing, Shenzhen, China 3.Department of Mathematics, University of Macau, Macau, China |
Corresponding Author Affilication | University of Macau |
Recommended Citation GB/T 7714 | Qin, Shanlin,Wu, Bokai,Liu, Jia,et al. Efficient parallel simulation of hemodynamics in patient-specific abdominal aorta with aneurysm[J]. COMPUTERS IN BIOLOGY AND MEDICINE, 2021, 136, 104652. |
APA | Qin, Shanlin., Wu, Bokai., Liu, Jia., Shiu, Wen Shin., Yan, Zhengzheng., Chen, Rongliang., & Cai, Xiao Chuan (2021). Efficient parallel simulation of hemodynamics in patient-specific abdominal aorta with aneurysm. COMPUTERS IN BIOLOGY AND MEDICINE, 136, 104652. |
MLA | Qin, Shanlin,et al."Efficient parallel simulation of hemodynamics in patient-specific abdominal aorta with aneurysm".COMPUTERS IN BIOLOGY AND MEDICINE 136(2021):104652. |
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