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

All Science Journal Classification (ASJC) codes

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

UN SDGs

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

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.

UR - http://www.scopus.com/inward/record.url?scp=84982084447&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84982084447&partnerID=8YFLogxK

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

All Science Journal Classification (ASJC) codes

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this