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Proceedings Paper

3D segmentation and reconstruction of endobronchial ultrasound
Author(s): Xiaonan Zang; Mikhail Breslav; William E. Higgins
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Paper Abstract

State-of-the-art practice for lung-cancer staging bronchoscopy often draws upon a combination of endobronchial ultrasound (EBUS) and multidetector computed-tomography (MDCT) imaging. While EBUS offers real-time in vivo imaging of suspicious lesions and lymph nodes, its low signal-to-noise ratio and tendency to exhibit missing region-of-interest (ROI) boundaries complicate diagnostic tasks. Furthermore, past efforts did not incorporate automated analysis of EBUS images and a subsequent fusion of the EBUS and MDCT data. To address these issues, we propose near real-time automated methods for three-dimensional (3D) EBUS segmentation and reconstruction that generate a 3D ROI model along with ROI measurements. Results derived from phantom data and lung-cancer patients show the promise of the methods. In addition, we present a preliminary image-guided intervention (IGI) system example, whereby EBUS imagery is registered to a patient’s MDCT chest scan.

Paper Details

Date Published: 29 March 2013
PDF: 15 pages
Proc. SPIE 8675, Medical Imaging 2013: Ultrasonic Imaging, Tomography, and Therapy, 867505 (29 March 2013); doi: 10.1117/12.2004901
Show Author Affiliations
Xiaonan Zang, The Pennsylvania State Univ. (United States)
Mikhail Breslav, The Pennsylvania State Univ. (United States)
Boston Univ. (United States)
William E. Higgins, The Pennsylvania State Univ. (United States)

Published in SPIE Proceedings Vol. 8675:
Medical Imaging 2013: Ultrasonic Imaging, Tomography, and Therapy
Johan G. Bosch; Marvin M. Doyley, Editor(s)

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