Image-guided endobronchial ultrasound

William E. Higgins; Xiaonan Zang; Ronnarit Cheirsilp; Patrick Byrnes; Trevor Kuhlengel; Rebecca Bascom; Jennifer Toth

doi:10.1117/12.2208771

Image-guided endobronchial ultrasound

William E. Higgins
, Xiaonan Zang
, Ronnarit Cheirsilp
, Patrick Byrnes
, Trevor Kuhlengel
, Rebecca Bascom
, Jennifer Toth

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

2 Scopus citations

Abstract

Endobronchial ultrasound (EBUS) is now recommended as a standard procedure for in vivo verification of extraluminal diagnostic sites during cancer-staging bronchoscopy. Yet, physicians vary considerably in their skills at using EBUS effectively. Regarding existing bronchoscopy guidance systems, studies have shown their effectiveness in the lung-cancer management process. With such a system, a patient's X-ray computed tomography (CT) scan is used to plan a procedure to regions of interest (ROIs). This plan is then used during follow-on guided bronchoscopy. Recent clinical guidelines for lung cancer, however, also dictate using positron emission tomography (PET) imaging for identifying suspicious ROIs and aiding in the cancer-staging process. While researchers have attempted to use guided bronchoscopy systems in tandem with PET imaging and EBUS, no true EBUS-centric guidance system exists. We now propose a full multimodal image-based methodology for guiding EBUS. The complete methodology involves two components: 1) a procedure planning protocol that gives bronchoscope movements appropriate for live EBUS positioning; and 2) a guidance strategy and associated system graphical user interface (GUI) designed for image-guided EBUS. We present results demonstrating the operation of the system.

Original language	English (US)
Title of host publication	Medical Imaging 2016
Subtitle of host publication	Image-Guided Procedures, Robotic Interventions, and Modeling
Editors	Robert J. Webster, Ziv R. Yaniv
Publisher	SPIE
ISBN (Electronic)	9781510600218
DOIs	https://doi.org/10.1117/12.2208771
State	Published - 2016
Event	Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling - San Diego, United States Duration: Feb 28 2016 → Mar 1 2016

Publication series

Name	Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume	9786
ISSN (Print)	1605-7422

Other

Other	Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling
Country/Territory	United States
City	San Diego
Period	2/28/16 → 3/1/16

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

Electronic, Optical and Magnetic Materials
Biomaterials
Atomic and Molecular Physics, and Optics
Radiology Nuclear Medicine and imaging

Access to Document

10.1117/12.2208771

Cite this

Higgins, W. E., Zang, X., Cheirsilp, R., Byrnes, P., Kuhlengel, T., Bascom, R., & Toth, J. (2016). Image-guided endobronchial ultrasound. In R. J. Webster, & Z. R. Yaniv (Eds.), Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling Article 97862G (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 9786). SPIE. https://doi.org/10.1117/12.2208771

@inproceedings{d022a3ff4ced439ebdb6e70e6ccca07b,

title = "Image-guided endobronchial ultrasound",

abstract = "Endobronchial ultrasound (EBUS) is now recommended as a standard procedure for in vivo verification of extraluminal diagnostic sites during cancer-staging bronchoscopy. Yet, physicians vary considerably in their skills at using EBUS effectively. Regarding existing bronchoscopy guidance systems, studies have shown their effectiveness in the lung-cancer management process. With such a system, a patient's X-ray computed tomography (CT) scan is used to plan a procedure to regions of interest (ROIs). This plan is then used during follow-on guided bronchoscopy. Recent clinical guidelines for lung cancer, however, also dictate using positron emission tomography (PET) imaging for identifying suspicious ROIs and aiding in the cancer-staging process. While researchers have attempted to use guided bronchoscopy systems in tandem with PET imaging and EBUS, no true EBUS-centric guidance system exists. We now propose a full multimodal image-based methodology for guiding EBUS. The complete methodology involves two components: 1) a procedure planning protocol that gives bronchoscope movements appropriate for live EBUS positioning; and 2) a guidance strategy and associated system graphical user interface (GUI) designed for image-guided EBUS. We present results demonstrating the operation of the system.",

author = "Higgins, \{William E.\} and Xiaonan Zang and Ronnarit Cheirsilp and Patrick Byrnes and Trevor Kuhlengel and Rebecca Bascom and Jennifer Toth",

note = "Funding Information: This work was partially supported by NIH grant R01-CA151433 from the National Cancer Institute. William E. Higgins has an identified conict of interest related to grant R01-CA151433, which is under management by Penn State and has been reported to the NIH. Publisher Copyright: {\textcopyright} 2016 SPIE.; Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling ; Conference date: 28-02-2016 Through 01-03-2016",

year = "2016",

doi = "10.1117/12.2208771",

language = "English (US)",

series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",

publisher = "SPIE",

editor = "Webster, \{Robert J.\} and Yaniv, \{Ziv R.\}",

booktitle = "Medical Imaging 2016",

address = "United States",

}

Higgins, WE, Zang, X, Cheirsilp, R, Byrnes, P, Kuhlengel, T, Bascom, R & Toth, J 2016, Image-guided endobronchial ultrasound. in RJ Webster & ZR Yaniv (eds), Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling., 97862G, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 9786, SPIE, Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, United States, 2/28/16. https://doi.org/10.1117/12.2208771

Image-guided endobronchial ultrasound. / Higgins, William E.; Zang, Xiaonan; Cheirsilp, Ronnarit et al.
Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling. ed. / Robert J. Webster; Ziv R. Yaniv. SPIE, 2016. 97862G (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 9786).

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

TY - GEN

T1 - Image-guided endobronchial ultrasound

AU - Higgins, William E.

AU - Zang, Xiaonan

AU - Cheirsilp, Ronnarit

AU - Byrnes, Patrick

AU - Kuhlengel, Trevor

AU - Bascom, Rebecca

AU - Toth, Jennifer

N1 - Funding Information: This work was partially supported by NIH grant R01-CA151433 from the National Cancer Institute. William E. Higgins has an identified conict of interest related to grant R01-CA151433, which is under management by Penn State and has been reported to the NIH. Publisher Copyright: © 2016 SPIE.

PY - 2016

Y1 - 2016

N2 - Endobronchial ultrasound (EBUS) is now recommended as a standard procedure for in vivo verification of extraluminal diagnostic sites during cancer-staging bronchoscopy. Yet, physicians vary considerably in their skills at using EBUS effectively. Regarding existing bronchoscopy guidance systems, studies have shown their effectiveness in the lung-cancer management process. With such a system, a patient's X-ray computed tomography (CT) scan is used to plan a procedure to regions of interest (ROIs). This plan is then used during follow-on guided bronchoscopy. Recent clinical guidelines for lung cancer, however, also dictate using positron emission tomography (PET) imaging for identifying suspicious ROIs and aiding in the cancer-staging process. While researchers have attempted to use guided bronchoscopy systems in tandem with PET imaging and EBUS, no true EBUS-centric guidance system exists. We now propose a full multimodal image-based methodology for guiding EBUS. The complete methodology involves two components: 1) a procedure planning protocol that gives bronchoscope movements appropriate for live EBUS positioning; and 2) a guidance strategy and associated system graphical user interface (GUI) designed for image-guided EBUS. We present results demonstrating the operation of the system.

AB - Endobronchial ultrasound (EBUS) is now recommended as a standard procedure for in vivo verification of extraluminal diagnostic sites during cancer-staging bronchoscopy. Yet, physicians vary considerably in their skills at using EBUS effectively. Regarding existing bronchoscopy guidance systems, studies have shown their effectiveness in the lung-cancer management process. With such a system, a patient's X-ray computed tomography (CT) scan is used to plan a procedure to regions of interest (ROIs). This plan is then used during follow-on guided bronchoscopy. Recent clinical guidelines for lung cancer, however, also dictate using positron emission tomography (PET) imaging for identifying suspicious ROIs and aiding in the cancer-staging process. While researchers have attempted to use guided bronchoscopy systems in tandem with PET imaging and EBUS, no true EBUS-centric guidance system exists. We now propose a full multimodal image-based methodology for guiding EBUS. The complete methodology involves two components: 1) a procedure planning protocol that gives bronchoscope movements appropriate for live EBUS positioning; and 2) a guidance strategy and associated system graphical user interface (GUI) designed for image-guided EBUS. We present results demonstrating the operation of the system.

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UR - https://www.scopus.com/pages/publications/84982084447#tab=citedBy

U2 - 10.1117/12.2208771

DO - 10.1117/12.2208771

M3 - Conference contribution

AN - SCOPUS:84982084447

T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE

BT - Medical Imaging 2016

A2 - Webster, Robert J.

A2 - Yaniv, Ziv R.

PB - SPIE

T2 - Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling

Y2 - 28 February 2016 through 1 March 2016

ER -

Image-guided endobronchial ultrasound

Abstract

Publication series

Other

UN SDGs

All Science Journal Classification (ASJC) codes

Access to Document

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