TY - GEN
T1 - MULTI-FRAME CT-VIDEO REGISTRATION for 3D AIRWAY-WALL ANALYSIS
AU - Byrnes, Patrick D.
AU - Higgins, William E.
N1 - Publisher Copyright:
© 2020 IEEE.
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 -
