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

Patrick D. Byrnes, William E. Higgins

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish (US)
Title of host publicationISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging
PublisherIEEE Computer Society
Pages1638-1641
Number of pages4
ISBN (Electronic)9781538693308
DOIs
StatePublished - Apr 2020
Event17th IEEE International Symposium on Biomedical Imaging, ISBI 2020 - Iowa City, United States
Duration: Apr 3 2020Apr 7 2020

Publication series

NameProceedings - International Symposium on Biomedical Imaging
Volume2020-April
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452

Conference

Conference17th IEEE International Symposium on Biomedical Imaging, ISBI 2020
CountryUnited States
CityIowa City
Period4/3/204/7/20

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

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    Byrnes, P. D., & Higgins, W. E. (2020). MULTI-FRAME CT-VIDEO REGISTRATION for 3D AIRWAY-WALL ANALYSIS. In ISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging (pp. 1638-1641). [9098472] (Proceedings - International Symposium on Biomedical Imaging; Vol. 2020-April). IEEE Computer Society. https://doi.org/10.1109/ISBI45749.2020.9098472