Automatic procedure planning for radial-probe endobronchial ultrasound

Austin Kao, William E. Higgins

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


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.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2024
Subtitle of host publicationImage-Guided Procedures, Robotic Interventions, and Modeling
EditorsJeffrey H. Siewerdsen, Maryam E. Rettmann
ISBN (Electronic)9781510671607
StatePublished - 2024
EventMedical Imaging 2024: Image-Guided Procedures, Robotic Interventions, and Modeling - San Diego, United States
Duration: Feb 19 2024Feb 22 2024

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
ISSN (Print)1605-7422


ConferenceMedical Imaging 2024: Image-Guided Procedures, Robotic Interventions, and Modeling
Country/TerritoryUnited States
CitySan Diego

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

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