Paper
27 March 2009 System for definition of the central-chest vasculature
Author Affiliations +
Proceedings Volume 7259, Medical Imaging 2009: Image Processing; 725918 (2009) https://doi.org/10.1117/12.811143
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States
Abstract
Accurate definition of the central-chest vasculature from three-dimensional (3D) multi-detector CT (MDCT) images is important for pulmonary applications. For instance, the aorta and pulmonary artery help in automatic definition of the Mountain lymph-node stations for lung-cancer staging. This work presents a system for defining major vascular structures in the central chest. The system provides automatic methods for extracting the aorta and pulmonary artery and semi-automatic methods for extracting the other major central chest arteries/veins, such as the superior vena cava and azygos vein. Automatic aorta and pulmonary artery extraction are performed by model fitting and selection. The system also extracts certain vascular structure information to validate outputs. A semi-automatic method extracts vasculature by finding the medial axes between provided important sites. Results of the system are applied to lymph-node station definition and guidance of bronchoscopic biopsy.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Pinyo Taeprasartsit and William E. Higgins "System for definition of the central-chest vasculature", Proc. SPIE 7259, Medical Imaging 2009: Image Processing, 725918 (27 March 2009); https://doi.org/10.1117/12.811143
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Cited by 4 scholarly publications and 1 patent.
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KEYWORDS
Image segmentation

Arteries

3D image processing

Chest

Biopsy

Veins

Computed tomography

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