DocumentCode
2808102
Title
Image constrained finite element modelling for real-time surgical simulation and guidance
Author
Lerotic, Mirna ; Lee, Su-Lin ; Keegan, Jennifer ; Yang, Guang-Zhong
Author_Institution
Inst. of Biomed. Eng., Imperial Coll. London, London, UK
fYear
2009
fDate
June 28 2009-July 1 2009
Firstpage
1063
Lastpage
1066
Abstract
Accurate physically based biomechanical modelling of tissue deformation is important to surgical simulation and image guided intervention. Achieving real-time performance whilst maintaining relatively accurate simulation result has been a challenging problem to resolve. The purpose of this paper is to describe a novel yet practical image constrained finite element modelling framework for real-time tissue deformation modelling. The accuracy of the proposed framework is validated with respiratory motion modelling and the proposed framework is incorporated into the Open Source SOFA framework, thus facilitating its use for other subject-specific motion modelling and real-time surgical simulation tasks.
Keywords
biological tissues; biomechanics; deformation; finite element analysis; medical computing; pneumodynamics; public domain software; surgery; biomechanical modelling; computer aided surgery; finite element modelling; image constrained modelling; image guided intervention; open source SOFA framework; real-time surgical guidance; real-time surgical simulation; respiratory motion modelling; subject-specific motion modelling; tissue deformation; Biomedical imaging; Deformable models; Educational institutions; Finite element methods; Heart; Lungs; Medical simulation; Minimally invasive surgery; Navigation; Solid modeling; biomechanical modelling; finite element methods; respiratory motion; surgical navigation; tissue deformation;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on
Conference_Location
Boston, MA
ISSN
1945-7928
Print_ISBN
978-1-4244-3931-7
Electronic_ISBN
1945-7928
Type
conf
DOI
10.1109/ISBI.2009.5193239
Filename
5193239
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