Robust segmentation and anatomical labeling of the airway tree from thoracic CT scans

B. van Ginneken, W. Baggerman and E.M. van Rikxoort

in: Medical Image Computing and Computer-Assisted Intervention, volume 5241 of Lecture Notes in Computer Science, 2008, pages 219-226

DOI PMID

Abstract

A method for automatic extraction and labeling of the airway tree from thoracic CT scans is presented and extensively evaluated on 150 scans of clinical dose, low dose and ultra-low dose data, in inspiration and expiration from both relatively healthy and severely ill patients. The method uses adaptive thresholds while growing the airways and it is shown that this strategy leads to a substantial increase in the number, total length and number of correctly labeled airways extracted. From inspiration scans on average 170 branches are found, from expiration scans 59.

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