Multiscale Vessel-guided Airway Tree Segmentation

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Standard

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 proceedingArticle in proceedingsResearchpeer-review

Harvard

Lo, PCP, Sporring, J & de Bruijne, M 2009, Multiscale Vessel-guided Airway Tree Segmentation. in M Brown, M de Bruijne, B van Ginneken, A Kiraly, J-M Kuhnigk, C Lorenz, JR McClelland, K Mori, A Reeves & JM Reinhardt (eds), Proceedings of Second International Workshop on Pulmonary Image Analysis. CreateSpace, pp. 323-332, The Second International Workshop on Pulmonary Image Analysis, London, United Kingdom, 20/09/2009. <http://www.lungworkshop.org/2009/proc2009/323.pdf>

APA

Lo, P. C. P., Sporring, J., & de Bruijne, M. (2009). Multiscale Vessel-guided Airway Tree Segmentation. In M. Brown, M. de Bruijne, B. van Ginneken, A. Kiraly, J-M. Kuhnigk, C. Lorenz, J. R. McClelland, K. Mori, A. Reeves, & J. M. Reinhardt (Eds.), Proceedings of Second International Workshop on Pulmonary Image Analysis (pp. 323-332). CreateSpace. http://www.lungworkshop.org/2009/proc2009/323.pdf

Vancouver

Lo PCP, Sporring J, de Bruijne M. Multiscale Vessel-guided Airway Tree Segmentation. In Brown M, de Bruijne M, van Ginneken B, Kiraly A, Kuhnigk J-M, Lorenz C, McClelland JR, Mori K, Reeves A, Reinhardt JM, editors, Proceedings of Second International Workshop on Pulmonary Image Analysis. CreateSpace. 2009. p. 323-332

Author

Lo, Pechin Chien Pau ; Sporring, Jon ; de Bruijne, Marleen. / Multiscale Vessel-guided Airway Tree Segmentation. Proceedings of Second International Workshop on Pulmonary Image Analysis. editor / 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. pp. 323-332

Bibtex

@inproceedings{98738a709d3511debc73000ea68e967b,
title = "Multiscale Vessel-guided Airway Tree Segmentation",
abstract = "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{\textquoteright}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.",
author = "Lo, {Pechin Chien Pau} and Jon Sporring and {de Bruijne}, Marleen",
year = "2009",
language = "English",
isbn = "978-1448680894",
pages = "323--332",
editor = "Matthew Brown and {de Bruijne}, Marleen and {van Ginneken}, Bram and Atilla Kiraly and Jan-Martin Kuhnigk and Cristian Lorenz and McClelland, {Jamie R} and Kensaku Mori and Antohony Reeves and Reinhardt, {Joseph M}",
booktitle = "Proceedings of Second International Workshop on Pulmonary Image Analysis",
publisher = "CreateSpace",
note = "null ; Conference date: 20-09-2009 Through 20-09-2009",

}

RIS

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