GPU-accelerated finite element modeling of bio-heat conduction for simulation of thermal ablation

Zhang, J, Hills, J, Zhong, Y, Shirinzadeh, B, Smith, J and Gu, C 2018, 'GPU-accelerated finite element modeling of bio-heat conduction for simulation of thermal ablation', Journal of Mechanics in Medicine and Biology, vol. 18, no. 7, pp. 1-11.


Document type: Journal Article
Collection: Journal Articles

Title GPU-accelerated finite element modeling of bio-heat conduction for simulation of thermal ablation
Author(s) Zhang, J
Hills, J
Zhong, Y
Shirinzadeh, B
Smith, J
Gu, C
Year 2018
Journal name Journal of Mechanics in Medicine and Biology
Volume number 18
Issue number 7
Start page 1
End page 11
Total pages 11
Publisher World Scientific Publishing Co. Pte Ltd
Abstract Efficient simulation of heating processes in thermal ablation is of great importance for surgical simulation of thermal ablation procedures. This paper presents a Graphics Processing Unit (GPU) assisted finite element methodology for modeling and analysis of bio-heat transfer processes in the treatment of thermal ablation. The proposed methodology employs finite element method for discretization of the bio-heat equation, and the finite element modeling is implemented using the High-Level Shader Language of the Microsoft Direct3D 11. Simulations and comparison analyses are conducted, demonstrating computational performance improvement of up to 55.3 times using the proposed methodology.
Subject Automation and Control Engineering
Keyword(s) finite element method
Graphics processing unit
Pennes' bio-heat transfer equation
surgical simulation
thermal ablation
DOI - identifier 10.1142/S0219519418400122
Copyright notice © 2018 World Scientific Publishing Company
ISSN 0219-5194
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 1 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 0 times in Scopus Article
Altmetric details:
Access Statistics: 3 Abstract Views  -  Detailed Statistics
Created: Mon, 29 Apr 2019, 13:04:00 EST by Catalyst Administrator
© 2014 RMIT Research Repository • Powered by Fez SoftwareContact us