Modeling of the human orbit from MR images

Zirui Li; Chee Kong Chui; Yiyu Cai; Shantha Amrith; Poh Sun Goh; James H. Anderson; Jeremy Teo; Cherine Liu; Irma Kusuma; Yee Shin Siow; Wieslaw L. Nowinski

doi:10.1007/3-540-45787-9_43

Modeling of the human orbit from MR images

Zirui Li, Chee Kong Chui, Yiyu Cai, Shantha Amrith, Poh Sun Goh, James H. Anderson, Jeremy Teo, Cherine Liu, Irma Kusuma, Yee Shin Siow, Wieslaw L. Nowinski

Mechanical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

We previously described a parametric eyeball modeling system for real-time simulation of eye surgery (MICCAI 01). However, in the simulation of ophthalmologic surgery, the model of the eyeball alone is not sufficient. The orbital structures are as important as the eyeball. In this paper, we describe the approach to model the orbital structures from patient specific MRI data set and integrate the orbital model with the parametric eyeball model. The orbital tissues including the eyeball, muscles, and orbital fat are segmented from MRI data. An interactive image-based geometrical modeling tool is developed to generate a finite element model of the orbit. Preliminary results include biomechanical models of three human subjects, one of which is a young patient with a benign tumor in the right orbit. The biomedical model can provide quantitative information that is important in diagnosis. It can also be used to accurately analyze the result of intervention, which is an important component of the simulator for training and treatment planning. Our analysis includes a deformation study on an eyeball subjected to simulated tumor growth using the finite element method.

Original language	English (US)
Title of host publication	Medical Image Computing and Computer-Assisted Intervention - 5th International Conference, MICCAI 2002, Proceedings
Editors	Takeyoshi Dohi, Ron Kikinis
Publisher	Springer Verlag
Pages	339-347
Number of pages	9
ISBN (Print)	3540442251
DOIs	https://doi.org/10.1007/3-540-45787-9_43
State	Published - 2002
Event	5th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2002 - Tokyo, Japan Duration: Sep 25 2002 → Sep 28 2002

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	2489
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	5th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2002
Country/Territory	Japan
City	Tokyo
Period	9/25/02 → 9/28/02

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/3-540-45787-9_43

Cite this

Li, Z., Chui, C. K., Cai, Y., Amrith, S., Goh, P. S., Anderson, J. H., Teo, J., Liu, C., Kusuma, I., Siow, Y. S., & Nowinski, W. L. (2002). Modeling of the human orbit from MR images. In T. Dohi, & R. Kikinis (Eds.), Medical Image Computing and Computer-Assisted Intervention - 5th International Conference, MICCAI 2002, Proceedings (pp. 339-347). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2489). Springer Verlag. https://doi.org/10.1007/3-540-45787-9_43

Modeling of the human orbit from MR images. / Li, Zirui; Chui, Chee Kong; Cai, Yiyu et al.
Medical Image Computing and Computer-Assisted Intervention - 5th International Conference, MICCAI 2002, Proceedings. ed. / Takeyoshi Dohi; Ron Kikinis. Springer Verlag, 2002. p. 339-347 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2489).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Li, Z, Chui, CK, Cai, Y, Amrith, S, Goh, PS, Anderson, JH, Teo, J, Liu, C, Kusuma, I, Siow, YS & Nowinski, WL 2002, Modeling of the human orbit from MR images. in T Dohi & R Kikinis (eds), Medical Image Computing and Computer-Assisted Intervention - 5th International Conference, MICCAI 2002, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2489, Springer Verlag, pp. 339-347, 5th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2002, Tokyo, Japan, 9/25/02. https://doi.org/10.1007/3-540-45787-9_43

Li Z, Chui CK, Cai Y, Amrith S, Goh PS, Anderson JH et al. Modeling of the human orbit from MR images. In Dohi T, Kikinis R, editors, Medical Image Computing and Computer-Assisted Intervention - 5th International Conference, MICCAI 2002, Proceedings. Springer Verlag. 2002. p. 339-347. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/3-540-45787-9_43

Li, Zirui ; Chui, Chee Kong ; Cai, Yiyu et al. / Modeling of the human orbit from MR images. Medical Image Computing and Computer-Assisted Intervention - 5th International Conference, MICCAI 2002, Proceedings. editor / Takeyoshi Dohi ; Ron Kikinis. Springer Verlag, 2002. pp. 339-347 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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AU - Teo, Jeremy

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AB - We previously described a parametric eyeball modeling system for real-time simulation of eye surgery (MICCAI 01). However, in the simulation of ophthalmologic surgery, the model of the eyeball alone is not sufficient. The orbital structures are as important as the eyeball. In this paper, we describe the approach to model the orbital structures from patient specific MRI data set and integrate the orbital model with the parametric eyeball model. The orbital tissues including the eyeball, muscles, and orbital fat are segmented from MRI data. An interactive image-based geometrical modeling tool is developed to generate a finite element model of the orbit. Preliminary results include biomechanical models of three human subjects, one of which is a young patient with a benign tumor in the right orbit. The biomedical model can provide quantitative information that is important in diagnosis. It can also be used to accurately analyze the result of intervention, which is an important component of the simulator for training and treatment planning. Our analysis includes a deformation study on an eyeball subjected to simulated tumor growth using the finite element method.

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Modeling of the human orbit from MR images

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