Bronchial orifice tracking-based branch level estimation for bronchoscopic navigation

Cheng Wang; Yuichiro Hayashi; Masahiro Oda; Takayuki Kitasaka; Hitotsugu Takabatake; Masaki Mori; Hirotoshi Honma; Hiroshi Natori; Kensaku Mori

doi:10.1117/12.2612827

4 April 2022 Bronchial orifice tracking-based branch level estimation for bronchoscopic navigation

Cheng Wang, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Hitotsugu Takabatake, Masaki Mori, Hirotoshi Honma, Hiroshi Natori, Kensaku Mori

Author Affiliations +

Proceedings Volume 12034, Medical Imaging 2022: Image-Guided Procedures, Robotic Interventions, and Modeling; 120340C (2022) https://doi.org/10.1117/12.2612827
Event: SPIE Medical Imaging, 2022, San Diego, California, United States

Abstract

This paper describes a branching level estimation method using the tracking result of the bronchial orifice structure in branches. Since the bronchus has a tree-like structure with many branches, it would be beneficial to physicians if the location of the bronchoscope in branches is provided. Hence, the estimation of branching level is the core work of coarse bronchoscope tracking-based navigation bronchoscopy. Previous method used the changes in the number of the bronchial orifice (BO) and the camera moving direction for the branching level estimation, which cannot observe the changes of each BO region. Therefore, we extract BO regions using a virtual depth image from deep learning and track these regions among real bronchoscope images. The branching level is estimated based on the results of BO tracking. Experimental results showed that the average accuracy of the branching level estimation is 92.1 %.

Conference Presentation

Citation Download Citation

Cheng Wang, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Hitotsugu Takabatake, Masaki Mori, Hirotoshi Honma, Hiroshi Natori, and Kensaku Mori "Bronchial orifice tracking-based branch level estimation for bronchoscopic navigation", Proc. SPIE 12034, Medical Imaging 2022: Image-Guided Procedures, Robotic Interventions, and Modeling, 120340C (4 April 2022); https://doi.org/10.1117/12.2612827

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