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Proceedings Paper

Virtual radial-probe endobronchial ultrasound for image-guided bronchoscopy
Author(s): Wennan Zhao; Rebecca Bascom; Jennifer Toth; William E. Higgins
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Paper Abstract

To diagnose peripheral lung tumors, bronchoscopy is recommended for tissue sampling. Because most peripheral target regions of interest reside outside the airways, during bronchoscopy radial probe endobronchial ultrasound (RP-EBUS) is often used to provide extraluminal information and assist in locating biopsy sites. RP-EBUSguided transbronchial needle aspiration (TBNA) has demonstrated its potential over conventional TBNA to improve the diagnostic yield of peripheral pulmonary nodule biopsy. Meanwhile, image-guided bronchoscopy systems have been introduced to enable better planning and navigation. Currently, the physician has to deal with two disconnected imaging domains during live bronchoscopy; i.e., an image-guided system and RP-EBUS. The state-of-the-art image-guided bronchoscopy systems provide no guidance for RP-EBUS and biopsy targeting during live bronchoscopy, which is needed for accurate diagnosis of peripheral pulmonary nodules. To fill this gap, we expand the concept of virtual bronchoscopy (VB) in image-guided bronchoscopy systems and build a virtual RP-EBUS model to simulate the RP-EBUS probe in the computed-tomography (CT)-based virtual chest space. Results with human patient data illustrate the synchronized visualization of the virtual RP-EBUS model with the 3D chest model.

Paper Details

Date Published: 16 March 2020
PDF: 9 pages
Proc. SPIE 11315, Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling, 113151U (16 March 2020); doi: 10.1117/12.2543063
Show Author Affiliations
Wennan Zhao, Penn. State Univ. (United States)
Rebecca Bascom, Penn. State Univ. (United States)
Jennifer Toth, Penn. State Univ. (United States)
William E. Higgins, Penn. State Univ. (United States)


Published in SPIE Proceedings Vol. 11315:
Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling
Baowei Fei; Cristian A. Linte, Editor(s)

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