Automatic procedure planning for radial-probe endobronchial ultrasound

Austin Kao; William E. Higgins

doi:10.1117/12.3004841

29 March 2024 Automatic procedure planning for radial-probe endobronchial ultrasound

Austin Kao, William E. Higgins

Proceedings Volume 12928, Medical Imaging 2024: Image-Guided Procedures, Robotic Interventions, and Modeling; 129281P (2024) https://doi.org/10.1117/12.3004841
Event: SPIE Medical Imaging, 2024, San Diego, California, United States

Conference Poster

Abstract

The examination of suspicious peripheral pulmonary lesions (PPLs) is an important part of lung cancer diagnosis. The physician performs bronchoscopy and then employs radial-probe endobronchial ultrasound (RP-EBUS) to examine and biopsy suspect lesions. Physician skill, however, plays a significant part in the success of these procedures. This has driven the introduction of image-guided bronchoscopy systems. Yet, while such systems enable route planning through the airways to reach a desired region of interest (ROI), the route does not come with the appropriate device maneuvers crucial for instructing the physician on how to use the bronchoscope and the R-EBUS probe during the procedure. Our recently proposed image-guided bronchoscopy system, the Multimodal Virtual Navigation System (MVNS), does offer such instructions for the devices involved. Unfortunately, the system relies on a time-consuming, error-prone, manual approach to generate these device maneuvers. We propose an automatic approach for creating a complete set of device maneuvers for both the bronchoscope and the R-EBUS probe, fully integrating it into the MVNS in the process. Results show that planning the device maneuvers, which previously took on the order of 5 minutes or more per ROI, is reduced to under one second.

Citation Download Citation

Austin Kao and William E. Higgins "Automatic procedure planning for radial-probe endobronchial ultrasound", Proc. SPIE 12928, Medical Imaging 2024: Image-Guided Procedures, Robotic Interventions, and Modeling, 129281P (29 March 2024); https://doi.org/10.1117/12.3004841

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available