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
fDate :
June 28 2009-July 1 2009
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;
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-3931-7
Electronic_ISBN :
1945-7928
DOI :
10.1109/ISBI.2009.5193239