Real-time surgical simulation using reduced order finite element analysis

Taylor, Zeike A., Crozier, Stuart and Ourselin, Sebastien (2010). Real-time surgical simulation using reduced order finite element analysis. In: Tianzi Jiang, Nassir Navab, Josien P.W. Pluim and Max A. Viergever, Proceedings, Part 2. 13th International Conference on Medical Image Computing and Computer-Assisted Intervention. 13th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2010, Beijing, China, (388-395). 20-24 September 2010. doi:10.1007/978-3-642-15745-5_48


Author Taylor, Zeike A.
Crozier, Stuart
Ourselin, Sebastien
Title of paper Real-time surgical simulation using reduced order finite element analysis
Conference name 13th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2010
Conference location Beijing, China
Conference dates 20-24 September 2010
Proceedings title Proceedings, Part 2. 13th International Conference on Medical Image Computing and Computer-Assisted Intervention   Check publisher's open access policy
Journal name Lecture Notes in Computer Science   Check publisher's open access policy
Place of Publication Berlin, Heidelberg, Germany
Publisher Springer - Verlag
Publication Year 2010
Sub-type Fully published paper
DOI 10.1007/978-3-642-15745-5_48
ISBN 9783642157448
3642157440
ISSN 0302-9743
1611-3349
Editor Tianzi Jiang
Nassir Navab
Josien P.W. Pluim
Max A. Viergever
Volume 6362
Start page 388
End page 395
Total pages 8
Language eng
Formatted Abstract/Summary
Reduced order modelling, in which a full system response is projected onto a subspace of lower dimensionality, has been used previously to accelerate finite element solution schemes by reducing the size of the involved linear systems. In the present work we take advantage of a secondary effect of such reduction for explicit analyses, namely that the stable integration time step is increased far beyond that of the full system. This phenomenon alleviates one of the principal drawbacks of explicit methods, compared with implicit schemes. We present an explicit finite element scheme in which time integration is performed in a reduced basis. The computational benefits of the procedure within a GPU-based execution framework are examined, and an assessment of the errors introduced is given. Speedups approaching an order of magnitude are feasible, without introduction of prohibitive errors, and without hardware modifications. The procedure may have applications in medical image-guidance problems in which both speed and accuracy are vital.
© 2010 Springer-Verlag.
Keyword Reduced order modelling
Medical image-guidance
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

 
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Created: Tue, 16 Nov 2010, 20:51:30 EST by Dr Zeike Taylor on behalf of School of Information Technol and Elec Engineering