System for live virtual-endoscopic guidance of bronchoscopy

J. P. Helferty; A. J. Sherbondy; A. P. Kiraly; W. E. Higgins

doi:10.1109/CVPR.2005.538

System for live virtual-endoscopic guidance of bronchoscopy

J. P. Helferty
, A. J. Sherbondy
, A. P. Kiraly
, W. E. Higgins

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

18 Scopus citations

Abstract

The standard procedure for diagnosing lung cancer involves 3D computed-tomography (CT) assessment, followed by interventional bronchoscopy. In general, the physician has no link between the CT assessment results and the follow-on bronchoscopy. Thus, the physician essentially performs bronchoscopic biopsy of suspect cancer sites blindly. We have devised a computer-based system that greatly augments the physician's vision during bronchoscopy. The system uses techniques from computer graphics and computer vision to enable detailed 3D CT procedure planning and follow-on image-guided bronchoscopy. The procedure plan is directly linked to the bronchoscope procedure, through a live fusion of the 3D CT data and bronchoscopic video. During a procedure, the physician receives considerable visual feedback on how to maneuver the bronchoscope and where to insert the biopsy needle. We have performed a series of controlled phantom and animal tests, in addition to using the system on a large number of human lung-cancer patients. Results indicate that not only is the variation in skill level between different physicians greatly reduced, but that their accuracy increases.

Original language	English (US)
Title of host publication	2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005 - Workshops
Publisher	IEEE Computer Society
ISBN (Electronic)	0769526608
DOIs	https://doi.org/10.1109/CVPR.2005.538
State	Published - 2005
Event	2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005 - Workshops - San Diego, United States Duration: Sep 21 2005 → Sep 23 2005

Publication series

Name	IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Volume	2005-September
ISSN (Print)	2160-7508
ISSN (Electronic)	2160-7516

Conference

Conference	2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005 - Workshops
Country/Territory	United States
City	San Diego
Period	9/21/05 → 9/23/05

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

Computer Vision and Pattern Recognition
Electrical and Electronic Engineering

Access to Document

10.1109/CVPR.2005.538

Cite this

Helferty, J. P., Sherbondy, A. J., Kiraly, A. P., & Higgins, W. E. (2005). System for live virtual-endoscopic guidance of bronchoscopy. In 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005 - Workshops (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; Vol. 2005-September). IEEE Computer Society. https://doi.org/10.1109/CVPR.2005.538

@inproceedings{ab8064c897cf4a908713cab4b0ab12f2,

title = "System for live virtual-endoscopic guidance of bronchoscopy",

abstract = "The standard procedure for diagnosing lung cancer involves 3D computed-tomography (CT) assessment, followed by interventional bronchoscopy. In general, the physician has no link between the CT assessment results and the follow-on bronchoscopy. Thus, the physician essentially performs bronchoscopic biopsy of suspect cancer sites blindly. We have devised a computer-based system that greatly augments the physician's vision during bronchoscopy. The system uses techniques from computer graphics and computer vision to enable detailed 3D CT procedure planning and follow-on image-guided bronchoscopy. The procedure plan is directly linked to the bronchoscope procedure, through a live fusion of the 3D CT data and bronchoscopic video. During a procedure, the physician receives considerable visual feedback on how to maneuver the bronchoscope and where to insert the biopsy needle. We have performed a series of controlled phantom and animal tests, in addition to using the system on a large number of human lung-cancer patients. Results indicate that not only is the variation in skill level between different physicians greatly reduced, but that their accuracy increases.",

author = "Helferty, \{J. P.\} and Sherbondy, \{A. J.\} and Kiraly, \{A. P.\} and Higgins, \{W. E.\}",

note = "Funding Information: This work was partially supported by NIH-NCI grants \# R01-CA074325 and R44-CA091534. From Penn State, we would like to thank Janice Turlington, Allen Austin, David Zhang, Dirk Padfield, James Ross, Tao Yang, and Shu-Yen Wan, who contributed to the system and participated in some of the experiments. From the University of Iowa, we would like to thank Eric Hoffman, Geoffrey McLennan, Scott Ferguson, Karl Thomas, Alan Ross, Janice Cook-Granroth, Angela Delsing, Osama Saba, Deokiee Chon, Jered Sieren, and Curt Wolf, who participated in some of the experiments. Publisher Copyright: {\textcopyright} 2005 IEEE Computer Society. All rights reserved.; 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005 - Workshops ; Conference date: 21-09-2005 Through 23-09-2005",

year = "2005",

doi = "10.1109/CVPR.2005.538",

language = "English (US)",

series = "IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops",

publisher = "IEEE Computer Society",

booktitle = "2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005 - Workshops",

address = "United States",

}

Helferty, JP, Sherbondy, AJ, Kiraly, AP & Higgins, WE 2005, System for live virtual-endoscopic guidance of bronchoscopy. in 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005 - Workshops. IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, vol. 2005-September, IEEE Computer Society, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005 - Workshops, San Diego, United States, 9/21/05. https://doi.org/10.1109/CVPR.2005.538

System for live virtual-endoscopic guidance of bronchoscopy. / Helferty, J. P.; Sherbondy, A. J.; Kiraly, A. P. et al.
2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005 - Workshops. IEEE Computer Society, 2005. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; Vol. 2005-September).

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

TY - GEN

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AU - Sherbondy, A. J.

AU - Kiraly, A. P.

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N1 - Funding Information: This work was partially supported by NIH-NCI grants # R01-CA074325 and R44-CA091534. From Penn State, we would like to thank Janice Turlington, Allen Austin, David Zhang, Dirk Padfield, James Ross, Tao Yang, and Shu-Yen Wan, who contributed to the system and participated in some of the experiments. From the University of Iowa, we would like to thank Eric Hoffman, Geoffrey McLennan, Scott Ferguson, Karl Thomas, Alan Ross, Janice Cook-Granroth, Angela Delsing, Osama Saba, Deokiee Chon, Jered Sieren, and Curt Wolf, who participated in some of the experiments. Publisher Copyright: © 2005 IEEE Computer Society. All rights reserved.

PY - 2005

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N2 - The standard procedure for diagnosing lung cancer involves 3D computed-tomography (CT) assessment, followed by interventional bronchoscopy. In general, the physician has no link between the CT assessment results and the follow-on bronchoscopy. Thus, the physician essentially performs bronchoscopic biopsy of suspect cancer sites blindly. We have devised a computer-based system that greatly augments the physician's vision during bronchoscopy. The system uses techniques from computer graphics and computer vision to enable detailed 3D CT procedure planning and follow-on image-guided bronchoscopy. The procedure plan is directly linked to the bronchoscope procedure, through a live fusion of the 3D CT data and bronchoscopic video. During a procedure, the physician receives considerable visual feedback on how to maneuver the bronchoscope and where to insert the biopsy needle. We have performed a series of controlled phantom and animal tests, in addition to using the system on a large number of human lung-cancer patients. Results indicate that not only is the variation in skill level between different physicians greatly reduced, but that their accuracy increases.

AB - The standard procedure for diagnosing lung cancer involves 3D computed-tomography (CT) assessment, followed by interventional bronchoscopy. In general, the physician has no link between the CT assessment results and the follow-on bronchoscopy. Thus, the physician essentially performs bronchoscopic biopsy of suspect cancer sites blindly. We have devised a computer-based system that greatly augments the physician's vision during bronchoscopy. The system uses techniques from computer graphics and computer vision to enable detailed 3D CT procedure planning and follow-on image-guided bronchoscopy. The procedure plan is directly linked to the bronchoscope procedure, through a live fusion of the 3D CT data and bronchoscopic video. During a procedure, the physician receives considerable visual feedback on how to maneuver the bronchoscope and where to insert the biopsy needle. We have performed a series of controlled phantom and animal tests, in addition to using the system on a large number of human lung-cancer patients. Results indicate that not only is the variation in skill level between different physicians greatly reduced, but that their accuracy increases.

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U2 - 10.1109/CVPR.2005.538

DO - 10.1109/CVPR.2005.538

M3 - Conference contribution

AN - SCOPUS:33745333044

T3 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

BT - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005 - Workshops

PB - IEEE Computer Society

T2 - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005 - Workshops

Y2 - 21 September 2005 through 23 September 2005

ER -

System for live virtual-endoscopic guidance of bronchoscopy

Abstract

Publication series

Conference

UN SDGs

All Science Journal Classification (ASJC) codes

Access to Document

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