Abstract
This paper presents a method for improving airway tree segmentation using vessel orientation information. We use the fact that an airway branch is always accompanied by an artery, with both structures having similar orientations. This work is based on a voxel classification airway segmentation method proposed previously. The probability of a voxel belonging to the airway, from the voxel classification method, is augmented with an orientation similarity measure as a criterion for region growing. The orientation similarity measure of a voxel indicates how similar is the orientation of the surroundings of a voxel, estimated based on a tube model, is to that of a neighboring vessel. The proposed method is tested on 20 CT images from different subjects selected randomly from a lung cancer screening study. Length of the airway branches from the results of the proposed method are significantly longer (p = 0.0125) as compared to only using probability from the voxel classification method.
Original language | English |
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Title of host publication | The first International Workshop on Pulmonary Image Analysis : New York, September 6, 2008 |
Editors | Matthew Brown, Marleen de Bruijne, Bram van Ginneken, Atilla Kiraly, Jan-Martin Kuhnigk, Cristian Lorenz, Kensaku Mori, Joseph Reinhardt |
Publisher | Lulu.com |
Publication date | 2008 |
Pages | 113-122 |
ISBN (Print) | 978-1-4357-5952-7 |
Publication status | Published - 2008 |
Event | International Workshop on Pulmonary Image Analysis: - New York, United States Duration: 6 Sept 2008 → 6 Sept 2008 Conference number: 1 |
Conference
Conference | International Workshop on Pulmonary Image Analysis: |
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Number | 1 |
Country/Territory | United States |
City | New York |
Period | 06/09/2008 → 06/09/2008 |