Efficient shape-based algorithms for modeling patient specific anatomy from 3D medical images: Applications in virtual endoscopy and surgery

R. A. Robb, B. M. Cameron, S. Aharon

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

Abstract

Virtual reality environments provide highly interactive, natural control of the visualization process, significantly enhancing the scientific value of the data produced by medical imaging systems. Due to the computational and real time display update requirements of virtual reality interfaces, the complexity of organ and tissue surfaces which can be displayed is limited. In this paper, we present two new algorithms for the production of anatomic surface models containing a pre-specified number of polygons from patient or subject specific volumetric image data sets. The advantage of these algorithms is that they efficiently tile complex surfaces with a specified number of polygons selected to optimize the trade-off between surface detail and real time display rates. Surface detail is preserved by extracting key shape features from the segmented objects which adaptively constrains the model tilers. To illustrate the utility of these models, we present an overview of their application in computed endoscopy and surgery planning as developed in the Virtual Reality Assisted Surgery Program (VRASP) in the Biomedical Imaging Resource.

Original languageEnglish (US)
Title of host publicationProceedings - 1997 International Conference on Shape Modeling and Applications, SMI 1997
DOIs
StatePublished - 1997
Event1997 International Conference on Shape Modeling and Applications - Shape Modeling International, SMI 1997 - Aizu-Wakamatsu, Japan
Duration: Mar 3 1997Mar 6 1997

Other

Other1997 International Conference on Shape Modeling and Applications - Shape Modeling International, SMI 1997
CountryJapan
CityAizu-Wakamatsu
Period3/3/973/6/97

Fingerprint

Endoscopy
Anatomy
3D Image
Medical Image
Surgery
Virtual Reality
Virtual reality
Modeling
Polygon
Display
Display devices
Biomedical Imaging
Shape Feature
Medical Imaging
Medical imaging
Tile
Imaging System
Imaging systems
Visualization
Trade-offs

ASJC Scopus subject areas

  • Modeling and Simulation

Cite this

Robb, R. A., Cameron, B. M., & Aharon, S. (1997). Efficient shape-based algorithms for modeling patient specific anatomy from 3D medical images: Applications in virtual endoscopy and surgery. In Proceedings - 1997 International Conference on Shape Modeling and Applications, SMI 1997 [634887] https://doi.org/10.1109/SMA.1997.634887

Efficient shape-based algorithms for modeling patient specific anatomy from 3D medical images : Applications in virtual endoscopy and surgery. / Robb, R. A.; Cameron, B. M.; Aharon, S.

Proceedings - 1997 International Conference on Shape Modeling and Applications, SMI 1997. 1997. 634887.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Robb, RA, Cameron, BM & Aharon, S 1997, Efficient shape-based algorithms for modeling patient specific anatomy from 3D medical images: Applications in virtual endoscopy and surgery. in Proceedings - 1997 International Conference on Shape Modeling and Applications, SMI 1997., 634887, 1997 International Conference on Shape Modeling and Applications - Shape Modeling International, SMI 1997, Aizu-Wakamatsu, Japan, 3/3/97. https://doi.org/10.1109/SMA.1997.634887
Robb RA, Cameron BM, Aharon S. Efficient shape-based algorithms for modeling patient specific anatomy from 3D medical images: Applications in virtual endoscopy and surgery. In Proceedings - 1997 International Conference on Shape Modeling and Applications, SMI 1997. 1997. 634887 https://doi.org/10.1109/SMA.1997.634887
Robb, R. A. ; Cameron, B. M. ; Aharon, S. / Efficient shape-based algorithms for modeling patient specific anatomy from 3D medical images : Applications in virtual endoscopy and surgery. Proceedings - 1997 International Conference on Shape Modeling and Applications, SMI 1997. 1997.
@inproceedings{f0962638211e4d3587548eec93595eea,
title = "Efficient shape-based algorithms for modeling patient specific anatomy from 3D medical images: Applications in virtual endoscopy and surgery",
abstract = "Virtual reality environments provide highly interactive, natural control of the visualization process, significantly enhancing the scientific value of the data produced by medical imaging systems. Due to the computational and real time display update requirements of virtual reality interfaces, the complexity of organ and tissue surfaces which can be displayed is limited. In this paper, we present two new algorithms for the production of anatomic surface models containing a pre-specified number of polygons from patient or subject specific volumetric image data sets. The advantage of these algorithms is that they efficiently tile complex surfaces with a specified number of polygons selected to optimize the trade-off between surface detail and real time display rates. Surface detail is preserved by extracting key shape features from the segmented objects which adaptively constrains the model tilers. To illustrate the utility of these models, we present an overview of their application in computed endoscopy and surgery planning as developed in the Virtual Reality Assisted Surgery Program (VRASP) in the Biomedical Imaging Resource.",
author = "Robb, {R. A.} and Cameron, {B. M.} and S. Aharon",
year = "1997",
doi = "10.1109/SMA.1997.634887",
language = "English (US)",
isbn = "0818678674",
booktitle = "Proceedings - 1997 International Conference on Shape Modeling and Applications, SMI 1997",

}

TY - GEN

T1 - Efficient shape-based algorithms for modeling patient specific anatomy from 3D medical images

T2 - Applications in virtual endoscopy and surgery

AU - Robb, R. A.

AU - Cameron, B. M.

AU - Aharon, S.

PY - 1997

Y1 - 1997

N2 - Virtual reality environments provide highly interactive, natural control of the visualization process, significantly enhancing the scientific value of the data produced by medical imaging systems. Due to the computational and real time display update requirements of virtual reality interfaces, the complexity of organ and tissue surfaces which can be displayed is limited. In this paper, we present two new algorithms for the production of anatomic surface models containing a pre-specified number of polygons from patient or subject specific volumetric image data sets. The advantage of these algorithms is that they efficiently tile complex surfaces with a specified number of polygons selected to optimize the trade-off between surface detail and real time display rates. Surface detail is preserved by extracting key shape features from the segmented objects which adaptively constrains the model tilers. To illustrate the utility of these models, we present an overview of their application in computed endoscopy and surgery planning as developed in the Virtual Reality Assisted Surgery Program (VRASP) in the Biomedical Imaging Resource.

AB - Virtual reality environments provide highly interactive, natural control of the visualization process, significantly enhancing the scientific value of the data produced by medical imaging systems. Due to the computational and real time display update requirements of virtual reality interfaces, the complexity of organ and tissue surfaces which can be displayed is limited. In this paper, we present two new algorithms for the production of anatomic surface models containing a pre-specified number of polygons from patient or subject specific volumetric image data sets. The advantage of these algorithms is that they efficiently tile complex surfaces with a specified number of polygons selected to optimize the trade-off between surface detail and real time display rates. Surface detail is preserved by extracting key shape features from the segmented objects which adaptively constrains the model tilers. To illustrate the utility of these models, we present an overview of their application in computed endoscopy and surgery planning as developed in the Virtual Reality Assisted Surgery Program (VRASP) in the Biomedical Imaging Resource.

UR - http://www.scopus.com/inward/record.url?scp=84884775120&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84884775120&partnerID=8YFLogxK

U2 - 10.1109/SMA.1997.634887

DO - 10.1109/SMA.1997.634887

M3 - Conference contribution

AN - SCOPUS:84884775120

SN - 0818678674

SN - 9780818678677

BT - Proceedings - 1997 International Conference on Shape Modeling and Applications, SMI 1997

ER -