28 February 2013 Multimodal 3D PET/CT system for bronchoscopic procedure planning
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Proceedings Volume 8670, Medical Imaging 2013: Computer-Aided Diagnosis; 86702X (2013) https://doi.org/10.1117/12.2004571
Event: SPIE Medical Imaging, 2013, Lake Buena Vista (Orlando Area), Florida, United States
Abstract
Integrated positron emission tomography (PET) / computed-tomography (CT) scanners give 3D multimodal data sets of the chest. Such data sets offer the potential for more complete and specific identification of suspect lesions and lymph nodes for lung-cancer assessment. This in turn enables better planning of staging bronchoscopies. The richness of the data, however, makes the visualization and planning process difficult. We present an integrated multimodal 3D PET/CT system that enables efficient region identification and bronchoscopic procedure planning. The system first invokes a series of automated 3D image-processing methods that construct a 3D chest model. Next, the user interacts with a set of interactive multimodal graphical tools that facilitate procedure planning for specific regions of interest (ROIs): 1) an interactive region candidate list that enables efficient ROI viewing in all tools; 2) a virtual PET-CT bronchoscopy rendering with SUV quantitative visualization to give a “fly through" endoluminal view of prospective ROIs; 3) transverse, sagittal, coronal multi-planar reformatted (MPR) views of the raw CT, PET, and fused CT-PET data; and 4) interactive multimodal volume/surface rendering to give a 3D perspective of the anatomy and candidate ROIs. In addition the ROI selection process is driven by a semi-automatic multimodal method for region identification. In this way, the system provides both global and local information to facilitate more specific ROI identification and procedure planning. We present results to illustrate the system's function and performance.
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Ronnarit Cheirsilp, Ronnarit Cheirsilp, William E. Higgins, William E. Higgins, } "Multimodal 3D PET/CT system for bronchoscopic procedure planning", Proc. SPIE 8670, Medical Imaging 2013: Computer-Aided Diagnosis, 86702X (28 February 2013); doi: 10.1117/12.2004571; https://doi.org/10.1117/12.2004571
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