Publication
Title
Robust region growing based intrathoracic airway tree segmentation
Author
Abstract
In this paper, we present a semi-automatic region growing algorithm to segment the intrathoracic airway tree from 3-d CT images. A common problem with region growing is leakage. In order to limit leakage, our method bounds the segmentation using cylinders of adaptive orientation and dimensions. The leaks are detected based on anatomical information of the airways and an algorithm to avoid them is proposed. We also present an algorithm to automatically select a seed point for the segmentation. The method was tested on a dataset of 40 patients and results were quantitatively evaluated based on ground truth data.
Language
English
Source (book)
Proceedings of The Second International Workshop on Pulmonary Image Analysis, London, UK, September, 2009
Publication
S.l. : 2009
Volume/pages
p. 261-271
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Record
Identification
Creation 26.04.2010
Last edited 19.09.2013
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