Multimodal system for the planning and guidance of bronchoscopy

William E. Higgins; Ronnarit Cheirsilp; Xiaonan Zang; Patrick Byrnes

doi:10.1117/12.2077242

18 March 2015 Multimodal system for the planning and guidance of bronchoscopy

William E. Higgins, Ronnarit Cheirsilp, Xiaonan Zang, Patrick Byrnes

Proceedings Volume 9415, Medical Imaging 2015: Image-Guided Procedures, Robotic Interventions, and Modeling; 941508 (2015) https://doi.org/10.1117/12.2077242
Event: SPIE Medical Imaging, 2015, Orlando, Florida, United States

Abstract

Many technical innovations in multimodal radiologic imaging and bronchoscopy have emerged recently in the effort against lung cancer. Modern X-ray computed-tomography (CT) scanners provide three-dimensional (3D) high-resolution chest images, positron emission tomography (PET) scanners give complementary molecular imaging data, and new integrated PET/CT scanners combine the strengths of both modalities. State-of-the-art bronchoscopes permit minimally invasive tissue sampling, with vivid endobronchial video enabling navigation deep into the airway-tree periphery, while complementary endobronchial ultrasound (EBUS) reveals local views of anatomical structures outside the airways. In addition, image-guided intervention (IGI) systems have proven their utility for CT-based planning and guidance of bronchoscopy. Unfortunately, no IGI system exists that integrates all sources effectively through the complete lung-cancer staging work flow. This paper presents a prototype of a computer-based multimodal IGI system that strives to fill this need. The system combines a wide range of automatic and semi-automatic image-processing tools for multimodal data fusion and procedure planning. It also provides a flexible graphical user interface for follow-on guidance of bronchoscopy/EBUS. Human-study results demonstrate the system’s potential.

Citation Download Citation

William E. Higgins, Ronnarit Cheirsilp, Xiaonan Zang, and Patrick Byrnes "Multimodal system for the planning and guidance of bronchoscopy", Proc. SPIE 9415, Medical Imaging 2015: Image-Guided Procedures, Robotic Interventions, and Modeling, 941508 (18 March 2015); https://doi.org/10.1117/12.2077242

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