The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Finite element modeling in surgery simulation
Abstract
Modeling the deformation of human organs for surgery simulation systems has turned out to be quite a challenge. Not only is very little known about the physical properties of general human tissue but in addition, most conventional modeling techniques are not applicable because of the timing requirements of simulation systems. To produce a video-like visualization of a deforming organ, the deformation must be determined at rates of 10-20 times/s. In the fields of elasticity and related modeling paradigms, the main interest has been the development of accurate mathematical models. The speed of these models has been a secondary interest. But for surgery simulation systems, the priorities are reversed. The main interest is the speed and robustness of the models, and accuracy is of less concern. Recent years have seen the development of different practical modeling techniques that take into account the reversed priorities and can be used in practice for real-time modeling of deformable organs. The paper discusses some of these new techniques in the reference frame of finite element models. In particular, it builds on the recent work by the author on fast finite element models and discusses the advantages and disadvantages of these models in comparison to previous models.
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Cites
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Domain decomposition: Parallel multilevel methods for elliptic partial differential equations
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A muscle model for animation three-dimensional facial expression
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A muscle model for animation three-dimensional facial expression
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Interactively deformable models for surgery simulation
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Three-Dimensional Modeling of Human Organs and Its Application to Diagnosis and Surgical Planning
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A virtual environment and model of the eye for surgical simulation
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Cited by
Needle insertion modeling and simulation
DiMaio, S. P., & Salcudean, S. E. (2003) · IEEE Transactions on Robotics and Automation · doi:10.1109/tra.2003.817044 · Cited by 518
Bayesian Characterization of Uncertainty in Intra-subject Non-rigid Registration
Risholm, P., Janoos, F., Norton, I., Golby, A. J., & Wells, W. M. (2013) · Medical Image Analysis · doi:10.1016/j.media.2013.03.002 · Cited by 62
Metadata
- Authors
- Bro-Nielsen, M.
- Venue
- Proceedings of the IEEE
- Published
- 1998-03
- Volume
- 86
- Issue
- 3
- Pages
- 490-503
- ISSN
- 0018-9219 (ISSN-L)
- OpenAlex
- W2129494071
- Cited by
- 401
- References
- 9
- FWCI
- 9.25
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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