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Proceedings Paper

Robust method for extracting the pulmonary vascular trees from 3D MDCT images
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Paper Abstract

Segmentation of pulmonary blood vessels from three-dimensional (3D) multi-detector CT (MDCT) images is important for pulmonary applications. This work presents a method for extracting the vascular trees of the pulmonary arteries and veins, applicable to both contrast-enhanced and unenhanced 3D MDCT image data. The method finds 2D elliptical cross-sections and evaluates agreement of these cross-sections in consecutive slices to find likely cross-sections. It next employs morphological multiscale analysis to separate vessels from adjoining airway walls. The method then tracks the center of the likely cross-sections to connect them to the pulmonary vessels in the mediastinum and forms connected vascular trees spanning both lungs. A ground-truth study indicates that the method was able to detect on the order of 98% of the vessel branches having diameter ≥ 3.0 mm. The extracted vascular trees can be utilized for the guidance of safe bronchoscopic biopsy.

Paper Details

Date Published: 14 March 2011
PDF: 17 pages
Proc. SPIE 7962, Medical Imaging 2011: Image Processing, 796237 (14 March 2011); doi: 10.1117/12.876721
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. 7962:
Medical Imaging 2011: Image Processing
Benoit M. Dawant; David R. Haynor, Editor(s)

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