Automatic segmentation of pulmonary vasculature in thoracic CT scans with local thresholding and airway wall removal

E. van Dongen and B. van Ginneken

in: IEEE International Symposium on Biomedical Imaging, 2010, pages 668-671

DOI

Abstract

A system for the automatic segmentation of the pulmonary vasculature in thoracic CT scans is presented. The method is based on a vesselness filter and includes a local thresholding procedure to accurately segment vessels of varying diameters. The output of an automatic segmentation of the airways is used to remove false positive detections in the airway walls. The algorithm is tested with a quantitative evaluation framework based on manual classification of well-dispersed local maxima and random points on ten axial sections in a scan. The algorithm has been applied to ten low dose CT scans annotated by two observers. Results show that local thresholding and airway wall removal both improve segmentation performance and that the accuracy of the proposed method approaches the interobserver variability.ss

A pdf file of this publication is available for personal use. Enter your e-mail address in the box below and press the button. You will receive an e-mail message with a link to the pdf file.