Image-guided endoscopy for lung-cancer assessment

J. P. Helferty; A. J. Sherbondy; A. P. Kiraly; J. Z. Turlington; E. A. Hoffman; G. McLennan; William Evan Higgins

Image-guided endoscopy for lung-cancer assessment

J. P. Helferty
, A. J. Sherbondy
, A. P. Kiraly
, J. Z. Turlington
, E. A. Hoffman
, G. McLennan
, William Evan Higgins

Research output: Contribution to conference › Paper › peer-review

Abstract

A system for virtual-endoscopic 3D medical image assessment and follow-on live endoscopy is described. The development and results focus on 3D CT images of the chest and lung-cancer assessment. Two stages are involved in the assessment. In Stage-1, the physician uses a series of tools for visualization and 3D central-axes analysis to build a guidance plan (a "case study"). Next, during Stage-2 endoscopy, the physician links the computer system and case study to the endoscope. The endoscopic video is registered to 3D virtual image data to give the physician "augmented reality" information to better perform the endoscopy. Results illustrate the system's utility for animal and human cases.

Original language	English (US)
Pages	307-310
Number of pages	4
State	Published - 2001
Event	IEEE International Conference on Image Processing (ICIP) - Thessaloniki, Greece Duration: Oct 7 2001 → Oct 10 2001

Other

Other	IEEE International Conference on Image Processing (ICIP)
Country/Territory	Greece
City	Thessaloniki
Period	10/7/01 → 10/10/01

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

Hardware and Architecture
Computer Vision and Pattern Recognition
Electrical and Electronic Engineering

Cite this

@conference{40c3aa5c99404021ad04d53643b1580e,

title = "Image-guided endoscopy for lung-cancer assessment",

abstract = "A system for virtual-endoscopic 3D medical image assessment and follow-on live endoscopy is described. The development and results focus on 3D CT images of the chest and lung-cancer assessment. Two stages are involved in the assessment. In Stage-1, the physician uses a series of tools for visualization and 3D central-axes analysis to build a guidance plan (a {"}case study{"}). Next, during Stage-2 endoscopy, the physician links the computer system and case study to the endoscope. The endoscopic video is registered to 3D virtual image data to give the physician {"}augmented reality{"} information to better perform the endoscopy. Results illustrate the system's utility for animal and human cases.",

author = "Helferty, \{J. P.\} and Sherbondy, \{A. J.\} and Kiraly, \{A. P.\} and Turlington, \{J. Z.\} and Hoffman, \{E. A.\} and G. McLennan and Higgins, \{William Evan\}",

year = "2001",

language = "English (US)",

pages = "307--310",

note = "IEEE International Conference on Image Processing (ICIP) ; Conference date: 07-10-2001 Through 10-10-2001",

}

TY - CONF

T1 - Image-guided endoscopy for lung-cancer assessment

AU - Helferty, J. P.

AU - Sherbondy, A. J.

AU - Kiraly, A. P.

AU - Turlington, J. Z.

AU - Hoffman, E. A.

AU - McLennan, G.

AU - Higgins, William Evan

PY - 2001

Y1 - 2001

N2 - A system for virtual-endoscopic 3D medical image assessment and follow-on live endoscopy is described. The development and results focus on 3D CT images of the chest and lung-cancer assessment. Two stages are involved in the assessment. In Stage-1, the physician uses a series of tools for visualization and 3D central-axes analysis to build a guidance plan (a "case study"). Next, during Stage-2 endoscopy, the physician links the computer system and case study to the endoscope. The endoscopic video is registered to 3D virtual image data to give the physician "augmented reality" information to better perform the endoscopy. Results illustrate the system's utility for animal and human cases.

AB - A system for virtual-endoscopic 3D medical image assessment and follow-on live endoscopy is described. The development and results focus on 3D CT images of the chest and lung-cancer assessment. Two stages are involved in the assessment. In Stage-1, the physician uses a series of tools for visualization and 3D central-axes analysis to build a guidance plan (a "case study"). Next, during Stage-2 endoscopy, the physician links the computer system and case study to the endoscope. The endoscopic video is registered to 3D virtual image data to give the physician "augmented reality" information to better perform the endoscopy. Results illustrate the system's utility for animal and human cases.

UR - https://www.scopus.com/pages/publications/0035167218

UR - https://www.scopus.com/pages/publications/0035167218#tab=citedBy

M3 - Paper

AN - SCOPUS:0035167218

SP - 307

EP - 310

T2 - IEEE International Conference on Image Processing (ICIP)

Y2 - 7 October 2001 through 10 October 2001

ER -

Image-guided endoscopy for lung-cancer assessment

Abstract

Other

UN SDGs

All Science Journal Classification (ASJC) codes

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