For peripheral pulmonary lesion diagnosis, surgical thoracoscopy and percutaneous needle biopsy are common invasive options, but entail significant risks; e.g., percutaneous biopsy carries a 15% pneumothorax rate and risk of other complications. The development of new bronchoscopic devices, such as radial-probe endobronchial ultrasound (RP-EBUS), however, enables far less risky lesion diagnosis. Based on recent research, an image-guided bronchoscopy system can be used to navigate the bronchoscope close to the lesion, while RP-EBUS, which provides real-time extraluminal information on local tissue and lesions, can then be used for lesion localization and biopsy site selection. Unfortunately, physician skill in using RP-EBUS varies greatly, especially for physicians not at expert centers. This results in poor biopsy yields. Also, current state-of-the-art image-guided bronchoscopy systems provide no means for guiding the use of the RP-EBUS. We describe progress toward devising a methodology that facilitates synchronization of the known chest CT-based guidance information to possible locations for invoking RP-EBUS. In particular, we describe a top-level CT-based mechanism that mimics the possible positions of the RP-EBUS probe, supplemented with an approach that simulates possible RP-EBUS views. Results with human patient data demonstrate the potential of the methodology.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2019
Subtitle of host publicationImage-Guided Procedures, Robotic Interventions, and Modeling
EditorsBaowei Fei, Cristian A. Linte
ISBN (Electronic)9781510625495
StatePublished - 2019
EventMedical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling - San Diego, United States
Duration: Feb 17 2019Feb 19 2019

Publication series

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


ConferenceMedical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling
Country/TerritoryUnited States
CitySan Diego

All Science Journal Classification (ASJC) codes

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


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