Multiscale Vessel-guided Airway Tree Segmentation
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Multiscale Vessel-guided Airway Tree Segmentation. / Lo, Pechin Chien Pau; Sporring, Jon; de Bruijne, Marleen.
Proceedings of Second International Workshop on Pulmonary Image Analysis. ed. / Matthew Brown; Marleen de Bruijne; Bram van Ginneken; Atilla Kiraly; Jan-Martin Kuhnigk; Cristian Lorenz; Jamie R McClelland; Kensaku Mori; Antohony Reeves; Joseph M Reinhardt. CreateSpace, 2009. p. 323-332.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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TY - GEN
T1 - Multiscale Vessel-guided Airway Tree Segmentation
AU - Lo, Pechin Chien Pau
AU - Sporring, Jon
AU - de Bruijne, Marleen
N1 - Conference code: 2
PY - 2009
Y1 - 2009
N2 - This paper presents a method for airway tree segmentationthat uses a combination of a trained airway appearance model, vesseland airway orientation information, and region growing. The methoduses a voxel classification based appearance model, which involves theuse of a classifier that is trained to differentiate between airway andnon-airway voxels. Vessel and airway orientation information are used inthe form of a vessel orientation similarity measure, which indicates howsimilar the orientation of the an airway candidate is to the orientationof the neighboring vessel. The method is evaluated within EXACT’09on a diverse set of CT scans. Results show a favorable combination of arelatively large portion of the tree detected correctly with very few falsepositives.
AB - This paper presents a method for airway tree segmentationthat uses a combination of a trained airway appearance model, vesseland airway orientation information, and region growing. The methoduses a voxel classification based appearance model, which involves theuse of a classifier that is trained to differentiate between airway andnon-airway voxels. Vessel and airway orientation information are used inthe form of a vessel orientation similarity measure, which indicates howsimilar the orientation of the an airway candidate is to the orientationof the neighboring vessel. The method is evaluated within EXACT’09on a diverse set of CT scans. Results show a favorable combination of arelatively large portion of the tree detected correctly with very few falsepositives.
M3 - Article in proceedings
SN - 978-1448680894
SN - 1448680891
SP - 323
EP - 332
BT - Proceedings of Second 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 - McClelland, Jamie R
A2 - Mori, Kensaku
A2 - Reeves, Antohony
A2 - Reinhardt, Joseph M
PB - CreateSpace
Y2 - 20 September 2009 through 20 September 2009
ER -
ID: 14307725