| A voxel based multiresolution technique for soft tissue deformation |
| Full text |
Pdf
(456 KB)
|
| Source
|
Virtual Reality Software and Technology
archive
Proceedings of the ACM symposium on Virtual reality software and technology
table of contents
Hong Kong
SESSION: Session 2B: real-time interactions and rendering (short papers)
table of contents
Pages: 158 - 161
Year of Publication: 2004
ISBN:1-58113-907-1
|
|
Authors
|
|
| Sponsors |
|
| Publisher |
|
| Bibliometrics |
Downloads (6 Weeks): 10, Downloads (12 Months): 51, Citation Count: 2
|
|
|
ABSTRACT
Real time tissue deformation is an important aspect of interactive virtual reality (VR) environments such as medical trainers. Most approaches in deformable modelling use a fixed space discretization. A surgical trainer requires high plausibility of the deformations especially in the area close to the instrument. As the area of intervention is not known a priori, adaptive techniques have to be applied.We present an approach for real time deformation of soft tissue based on a regular FEM mesh of cube elements as opposed to a mesh of tetrahedral elements used by the majority of soft tissue simulators. A regular mesh structure simplifies the local refinement operation as the elements topology and stiffness are known implicitly. We propose an octree-based adaptive multiresolution extension of our basic approach.The volumetric representation of the deformed object is created automatically from medical images or by voxelization of a surface model. The resolution of the volumetric representation is independent of the surface geometry resolution. The surface is deformed according to the simulation performed on the underlying volumetric mesh.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
| |
1
|
K. J. Bathe. Finite Elemente Methoden. Springer, Berlin, Heidelberg, New York, London, Paris, Tokyo, 1986.
|
| |
2
|
J. Berkley, P. Oppenheimer, S. Weghorst, D. Berg, G. Raugi, D. Haynor, M. Ganter, and C. Brooking. Creating fast finite element models from medical images. In Medicine Meets Virtual Reality, 2000.
|
| |
3
|
G. Debunne, M. Desbrun, A. H. Barr, and M.-P. Cani. Interactive multiresolution animation of deformable models. In Eurographics Workshop on Computer Animation and Simulation, 1999.
|
| |
4
|
|
| |
5
|
A. Faraci, F. Bello, and A. Darzi. Soft tissue deformation using a hierarchical finite element model. In Medicine Meets Virtual Reality, 2004.
|
 |
6
|
|
| |
7
|
J. Kim, S. De, and M. A. Srinivasan. Physically based hybrid approach in real time surgical simulation with force feedback. In Medicine Meets Virtual Reality, 2003.
|
| |
8
|
|
| |
9
|
W. Wu, J. Sun, and P. A. Heng. A hybrid condensed finite element model for interactive 3D soft tissue cutting. In Medicine Meets Virtual Reality, 2003.
|
| |
10
|
X. Wu, M. S. Downes, T. Goktekin, and F. Tendick. Adaptive nonlinear finite elements for deformable body simulation using dynamic progressive meshes. In Eurographics, volume 20/3, 2001.
|
| |
11
|
|
|