Image constrained finite element modelling for real-time surgical simulation and guidance

Authors:
Mirna Lerotic;Su-Lin Lee;Jennifer Keegan;Guang-Zhong Yang
Affiliations:
Institute of Biomedical Engineering, Imperial College London, UK;Institute of Biomedical Engineering, Imperial College London, UK;Cardiovascular Magnetic Resonance Unit, National Heart and Lung Institute, Imperial College London, Royal Brompton and Harefield NHS Trust, UK;Institute of Biomedical Engineering, Imperial College London, UK
Venue:
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Year:
2009

Citing 1
Cited 2

Simulation of Lung Behaviour with Finite Elements: Influence of Bio-Mechanical Parameters

MEDIVIS '05 Proceedings of the Third International Conference on Medical Information Visualisation--BioMedical Visualisation

Dynamic shape instantiation for intra-operative guidance

MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part I
Dynamic guidance for robotic surgery using image- constrained biomechanical models

MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part I

Quantified Score

Hi-index	0.00

Visualization

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.