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

Pinyo Taeprasartsit; William E. Higgins

doi:10.1117/12.876721

14 March 2011 Robust method for extracting the pulmonary vascular trees from 3D MDCT images

Proceedings Volume 7962, Medical Imaging 2011: Image Processing; 796237 (2011) https://doi.org/10.1117/12.876721
Event: SPIE Medical Imaging, 2011, Lake Buena Vista (Orlando), Florida, United States

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.

Citation Download Citation

Pinyo Taeprasartsit and William E. Higgins "Robust method for extracting the pulmonary vascular trees from 3D MDCT images", Proc. SPIE 7962, Medical Imaging 2011: Image Processing, 796237 (14 March 2011); https://doi.org/10.1117/12.876721

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