@inproceedings{6f0b3c2daf1c4fabb36d58e6ef5b016f,
title = "Optimal multimodal virtual bronchoscopy for convex-probe endobronchial ultrasound",
abstract = "Accurate staging of the central-chest lymph nodes is a major step in the management of lung-cancer patients. For this purpose, the physician uses videobronchoscopy to navigate through the airways and convex-probe endobronchial ultrasound (CP-EBUS) to localize extraluminal lymph nodes. Unfortunately, CP-EBUS proves to be difficult for many physicians. In this paper, we present a complete optimal multimodal planning and guidance system for image-guided CP-EBUS bronchoscopy. The system accepts a patient's 3D chest CT scan and an optional whole-body PET/CT study as inputs. System work flow proceeds in two stages: 1) optimal procedure planning and 2) multimodal image-guided bronchoscopy. Optimal procedure planning entails CT-based computation of guidance routes that enable maximal feasible tissue sampling (depth-of-sample) of selected lymph nodes. Multimodal image-guided bronchoscopy next occurs in the operating room. The guidance process draws upon a CT-based virtual multimodal bronchoscope that gives virtual views of videobronchoscopy and CP-EBUS, similar to those provided by a real linear integrated CP-EBUS bronchoscope. The system provides CT/PET-based graphical views along the guidance route toward a lymph node, per the two-stage process of videobronchoscopic navigation and CP-EBUS localization. The guidance views depict the depth-of-sample information dynamically to enable visualization of optimal tissue-biopsy sites. The localization process features a novel registration be- tween the virtual CP-EBUS views and live CP-EBUS views to enable synchronization. A lung-cancer patient pilot study demonstrated the feasibility, safety, and efficacy of the system. Procedure planning effectively derived optimal tissue-biopsy sites and also indicated sites where biopsy may not be safe, within preset constraints. During live bronchoscopy, we performed successful guidance to all selected lymph nodes.",
author = "Higgins, {William E.} and Xiaonan Zang and Ronnarit Cheirsilp and Byrnes, {Patrick D.} and Kuhlengel, {Trevor K.} and Jennifer Toth and Rebecca Bascom",
note = "Publisher Copyright: {\textcopyright} 2018 SPIE.; Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling ; Conference date: 12-02-2018 Through 15-02-2018",
year = "2018",
doi = "10.1117/12.2292099",
language = "English (US)",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
editor = "Baowei Fei and Webster, {Robert J.}",
booktitle = "Medical Imaging 2018",
address = "United States",
}