Vessel-guided airway segmentation based on voxel classification
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Vessel-guided airway segmentation based on voxel classification. / Lo, Pechin Chien Pau; Sporring, Jon; Ashraf, Haseem; Holst Pedersen, Jesper Johannes; de Bruijne, Marleen.
The first International Workshop on Pulmonary Image Analysis: New York, September 6, 2008. ed. / Matthew Brown; Marleen de Bruijne; Bram van Ginneken; Atilla Kiraly; Jan-Martin Kuhnigk; Cristian Lorenz; Kensaku Mori; Joseph Reinhardt. Lulu.com, 2008. p. 113-122.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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TY - GEN
T1 - Vessel-guided airway segmentation based on voxel classification
AU - Lo, Pechin Chien Pau
AU - Sporring, Jon
AU - Ashraf, Haseem
AU - Holst Pedersen, Jesper Johannes
AU - de Bruijne, Marleen
N1 - Conference code: 1
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
M3 - Article in proceedings
SN - 978-1-4357-5952-7
SP - 113
EP - 122
BT - The first International Workshop on Pulmonary Image Analysis
A2 - Brown, Matthew
A2 - de Bruijne, Marleen
A2 - van Ginneken, Bram
A2 - Kiraly, Atilla
A2 - Kuhnigk, Jan-Martin
A2 - Lorenz, Cristian
A2 - Mori, Kensaku
A2 - Reinhardt, Joseph
PB - Lulu.com
Y2 - 6 September 2008 through 6 September 2008
ER -
ID: 9202801