Integrating geometric and biomechanical models of a liver tumour for cryosurgery simulation

Authors:
Alexandra Branzan Albu;Jean-Marc Schwartz;Denis Laurendeau;Christian Moisan
Affiliations:
Computer Vision and Systems Laboratory, Department of Electrical and Computer Engineering, Laval University, Québec, Qc, Canada;Computer Vision and Systems Laboratory, Department of Electrical and Computer Engineering, Laval University, Québec, Qc, Canada;Computer Vision and Systems Laboratory, Department of Electrical and Computer Engineering, Laval University, Québec, Qc, Canada;IMRI Unit, Québec City University Hospital, Québec, Qc, Canada
Venue:
IS4TM'03 Proceedings of the 2003 international conference on Surgery simulation and soft tissue modeling
Year:
2003

Citing 4
Cited 0

A signal processing approach to fair surface design

SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
General Object Reconstruction Based on Simplex Meshes

International Journal of Computer Vision
Shape-Based Interpolation

IEEE Computer Graphics and Applications
Non-linear Soft Tissue Deformations for the Simulation of Percutaneous Surgeries

MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we present a 3D reconstruction approach of a liver tumour model from a sequence of 2D MR parallel cross-sections, and the integration of this reconstructed 3D model with a mechanical tissue model. The reconstruction algorithm uses shape-based interpolation and extrapolation. While interpolation generates intermediate slices between every pair of adjacent input slices, extrapolation performs a smooth closing of the external surface of the model. Interpolation uses morphological morphing, while extrapolation is based on smoothness surface constraints. Local surface irregularities are further smoothed with Taubin's surface fairing algorithm [5]. Since tumour models are to be used in a planning and simulation system of image-guided cryosurgery, a mechanical model based on a non-linear tensor-mass algorithm was integrated with the tumour geometry. Integration allows the computation of fast deformations and force feedback in the process of cryoprobe insertion.