MULTI-FRAME CT-VIDEO REGISTRATION for 3D AIRWAY-WALL ANALYSIS

Patrick D. Byrnes; William E. Higgins

doi:10.1109/ISBI45749.2020.9098472

MULTI-FRAME CT-VIDEO REGISTRATION for 3D AIRWAY-WALL ANALYSIS

Patrick D. Byrnes
, William E. Higgins

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

3 Scopus citations

Abstract

Bronchoscopy and three-dimensional (3D) computed tomography (CT) are important complementary tools for managing lung diseases. Endobronchial video captured during bronchoscopy gives live views of the airway-tree interior with vivid detail of the airway mucosal surfaces, while the 3D CT images give considerable anatomical detail. Unfortunately, little effort has been made to link these rich data sources. This paper describes a rapid interactive multi-frame method for registering the video frames constituting a complete bronchoscopic video sequence onto their respective locations within the CT-based 3D airway tree. Registration results using both phantom and human cases show our method's efficacy compared to ground-truth data, with a maximum position error = 8.5mm, orientation error of 17°, and a minimum trajectory accuracy = 94.1%. We also apply our method to multimodal 3D airway-wall analysis within a comprehensive bronchoscopic video analysis system.

Original language	English (US)
Title of host publication	ISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging
Publisher	IEEE Computer Society
Pages	1638-1641
Number of pages	4
ISBN (Electronic)	9781538693308
DOIs	https://doi.org/10.1109/ISBI45749.2020.9098472
State	Published - Apr 2020
Event	17th IEEE International Symposium on Biomedical Imaging, ISBI 2020 - Virtual, Online, United States Duration: Apr 3 2020 → Apr 7 2020

Publication series

Name	Proceedings - International Symposium on Biomedical Imaging
Volume	2020-April
ISSN (Print)	1945-7928
ISSN (Electronic)	1945-8452

Conference

Conference	17th IEEE International Symposium on Biomedical Imaging, ISBI 2020
Country/Territory	United States
City	Virtual, Online
Period	4/3/20 → 4/7/20

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

Biomedical Engineering
Radiology Nuclear Medicine and imaging

Access to Document

10.1109/ISBI45749.2020.9098472

Cite this

@inproceedings{0274864cac8646599ddb8122f0288f78,

title = "MULTI-FRAME CT-VIDEO REGISTRATION for 3D AIRWAY-WALL ANALYSIS",

abstract = "Bronchoscopy and three-dimensional (3D) computed tomography (CT) are important complementary tools for managing lung diseases. Endobronchial video captured during bronchoscopy gives live views of the airway-tree interior with vivid detail of the airway mucosal surfaces, while the 3D CT images give considerable anatomical detail. Unfortunately, little effort has been made to link these rich data sources. This paper describes a rapid interactive multi-frame method for registering the video frames constituting a complete bronchoscopic video sequence onto their respective locations within the CT-based 3D airway tree. Registration results using both phantom and human cases show our method's efficacy compared to ground-truth data, with a maximum position error = 8.5mm, orientation error of 17°, and a minimum trajectory accuracy = 94.1\%. We also apply our method to multimodal 3D airway-wall analysis within a comprehensive bronchoscopic video analysis system.",

author = "Byrnes, \{Patrick D.\} and Higgins, \{William E.\}",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 17th IEEE International Symposium on Biomedical Imaging, ISBI 2020 ; Conference date: 03-04-2020 Through 07-04-2020",

year = "2020",

month = apr,

doi = "10.1109/ISBI45749.2020.9098472",

language = "English (US)",

series = "Proceedings - International Symposium on Biomedical Imaging",

publisher = "IEEE Computer Society",

pages = "1638--1641",

booktitle = "ISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging",

address = "United States",

}

Byrnes, PD & Higgins, WE 2020, MULTI-FRAME CT-VIDEO REGISTRATION for 3D AIRWAY-WALL ANALYSIS. in ISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging., 9098472, Proceedings - International Symposium on Biomedical Imaging, vol. 2020-April, IEEE Computer Society, pp. 1638-1641, 17th IEEE International Symposium on Biomedical Imaging, ISBI 2020, Virtual, Online, United States, 4/3/20. https://doi.org/10.1109/ISBI45749.2020.9098472

MULTI-FRAME CT-VIDEO REGISTRATION for 3D AIRWAY-WALL ANALYSIS. / Byrnes, Patrick D.; Higgins, William E.
ISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, 2020. p. 1638-1641 9098472 (Proceedings - International Symposium on Biomedical Imaging; Vol. 2020-April).

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

TY - GEN

T1 - MULTI-FRAME CT-VIDEO REGISTRATION for 3D AIRWAY-WALL ANALYSIS

AU - Byrnes, Patrick D.

AU - Higgins, William E.

PY - 2020/4

Y1 - 2020/4

N2 - Bronchoscopy and three-dimensional (3D) computed tomography (CT) are important complementary tools for managing lung diseases. Endobronchial video captured during bronchoscopy gives live views of the airway-tree interior with vivid detail of the airway mucosal surfaces, while the 3D CT images give considerable anatomical detail. Unfortunately, little effort has been made to link these rich data sources. This paper describes a rapid interactive multi-frame method for registering the video frames constituting a complete bronchoscopic video sequence onto their respective locations within the CT-based 3D airway tree. Registration results using both phantom and human cases show our method's efficacy compared to ground-truth data, with a maximum position error = 8.5mm, orientation error of 17°, and a minimum trajectory accuracy = 94.1%. We also apply our method to multimodal 3D airway-wall analysis within a comprehensive bronchoscopic video analysis system.

AB - Bronchoscopy and three-dimensional (3D) computed tomography (CT) are important complementary tools for managing lung diseases. Endobronchial video captured during bronchoscopy gives live views of the airway-tree interior with vivid detail of the airway mucosal surfaces, while the 3D CT images give considerable anatomical detail. Unfortunately, little effort has been made to link these rich data sources. This paper describes a rapid interactive multi-frame method for registering the video frames constituting a complete bronchoscopic video sequence onto their respective locations within the CT-based 3D airway tree. Registration results using both phantom and human cases show our method's efficacy compared to ground-truth data, with a maximum position error = 8.5mm, orientation error of 17°, and a minimum trajectory accuracy = 94.1%. We also apply our method to multimodal 3D airway-wall analysis within a comprehensive bronchoscopic video analysis system.

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U2 - 10.1109/ISBI45749.2020.9098472

DO - 10.1109/ISBI45749.2020.9098472

M3 - Conference contribution

AN - SCOPUS:85085859370

T3 - Proceedings - International Symposium on Biomedical Imaging

SP - 1638

EP - 1641

BT - ISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging

PB - IEEE Computer Society

T2 - 17th IEEE International Symposium on Biomedical Imaging, ISBI 2020

Y2 - 3 April 2020 through 7 April 2020

ER -

MULTI-FRAME CT-VIDEO REGISTRATION for 3D AIRWAY-WALL ANALYSIS

Abstract

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UN SDGs

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