Finite element modeling in surgery simulation
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 requirem...
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| Published in | Proceedings of the IEEE Vol. 86; no. 3; pp. 490 - 503 |
|---|---|
| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
IEEE
01.03.1998
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0018-9219 |
| DOI | 10.1109/5.662874 |
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| 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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| AbstractList | 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. This paper discusses some of these new techniques in the reference frame of finite element models. In particular, it builds on the recent work by this author on fast finite element models and discusses the advantages and disadvantages of these models in comparison to previous models. 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. |
| Author | Bro-Nielsen, M. |
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| References | ku¨hnapfel (ref14) 1994 barrett (ref1) 1995 bro-nielsen (ref3) 1996 ref20 bro-nielsen (ref2) 1995 ref22 national institutes of health (ref21) 1996 press (ref16) 1992 ref17 bro-nielsen (ref5) 1997 kardestuncer (ref13) 1987 stewart (ref19) 1992 cotin (ref7) 1996 ref9 ref4 ciarlet (ref6) 1987 deussen (ref10) 1995 huebner (ref12) 1975 geiger (ref11) 1993 kuhn (ref15) 1996 cotin (ref8) 1996 smith (ref18) 1996 |
| References_xml | – year: 1993 ident: ref11 publication-title: Three-dimensional modeling of human organs and its application to diagnosis and surgical planning – ident: ref17 doi: 10.1145/192161.192200 – year: 1975 ident: ref12 publication-title: The Finite Element Method for Engineers – ident: ref22 doi: 10.1145/37402.37405 – year: 1996 ident: ref21 publication-title: The Visible Human Project – ident: ref4 doi: 10.1111/1467-8659.1530057 – year: 1996 ident: ref18 publication-title: Domain Decomposition Parallel Multilevel Methods for Elliptic PDES – start-page: 35 year: 1995 ident: ref2 article-title: soft tissue modeling in surgery simulation for prediction of results of craniofacial operations & steps toward virtual reality training systems publication-title: Proc 3rd Int Workshop Rapid Prototyping in Medicine & Computer-Assisted Surgery – year: 1987 ident: ref6 publication-title: Mathematical Elasticity Vol 1 Three-Dimensional Elasticity – ident: ref9 doi: 10.1109/38.252559 – ident: ref20 doi: 10.1007/978-4-431-66890-9_5 – start-page: 764 year: 1996 ident: ref15 article-title: a virtual reality' based training system for minimally invasive surgery publication-title: Proceedings of Computer Assisted Radiology (CAR 96) – year: 1997 ident: ref5 publication-title: Medical image registration and surgery simulation – year: 1995 ident: ref10 article-title: using simulated annealing to obtain good approximations of deformable bodies publication-title: Proceedings of the EuroGraphics Workshop Computer Animation and Simulation doi: 10.1007/978-3-7091-9435-5_3 – year: 1992 ident: ref16 publication-title: Numerical Recipes in C – start-page: 335 year: 1996 ident: ref3 article-title: mvox: interactive 2-4d medical image and graphics visualization software publication-title: Proceedings of Computer Assisted Radiology (CAR 96) – year: 1994 ident: ref14 article-title: realtime graphical computer simulation for endoscopic surgery publication-title: Proc Medicine Meets Virtual Reality II – year: 1987 ident: ref13 publication-title: Finite Element Handbook – start-page: 139 year: 1996 ident: ref7 article-title: geometric and physical representations for a simulator of hepatic surgery publication-title: Proc Medicine Meets Virtual Reality – year: 1995 ident: ref1 – year: 1992 ident: ref19 publication-title: Meschach Matrix computations in C – start-page: 793 year: 1996 ident: ref8 article-title: volumetric deformable models for simulation of laparoscopic surgery publication-title: Proceedings of Computer Assisted Radiology (CAR 96) |
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| SubjectTerms | Animation Biological system modeling Biomechanics Biomedical engineering Computational modeling Computer graphics Computer simulation Deformable models Finite difference method Finite element method Finite element methods Humans Mechanical engineering Medical imaging Motion pictures Surgery Virtual reality |
| Title | Finite element modeling in surgery simulation |
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