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Proceedings Paper

System for definition of the central-chest vasculature
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Paper 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.

Paper Details

Date Published: 27 March 2009
PDF: 15 pages
Proc. SPIE 7259, Medical Imaging 2009: Image Processing, 725918 (27 March 2009); doi: 10.1117/12.811143
Show Author Affiliations
Pinyo Taeprasartsit, The Pennsylvania State Univ. (United States)
William E. Higgins, The Pennsylvania State Univ. (United States)

Published in SPIE Proceedings Vol. 7259:
Medical Imaging 2009: Image Processing
Josien P. W. Pluim; Benoit M. Dawant, Editor(s)

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