A hierarchical scheme for geodesic anatomical labeling of airway trees

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

Standard

A hierarchical scheme for geodesic anatomical labeling of airway trees. / Feragen, Aasa; Petersen, Jens; Owen, Megan; Lo, Pechin Chien Pau; Thomsen, Laura; Wille, Mathilde M. W.; Dirksen, Asger; de Bruijne, Marleen.

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012: 15th International Conference, Nice, France, October 1-5, 2012, Proceedings, Part III. red. / Nicholas Ayache ; Hervé Delingette ; Polina Golland; Kensaku Mori . Springer, 2012. s. 147-155 (Lecture notes in computer science, Bind 7512).

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

Harvard

Feragen, A, Petersen, J, Owen, M, Lo, PCP, Thomsen, L, Wille, MMW, Dirksen, A & de Bruijne, M 2012, A hierarchical scheme for geodesic anatomical labeling of airway trees. i N Ayache , H Delingette , P Golland & K Mori (red), Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012: 15th International Conference, Nice, France, October 1-5, 2012, Proceedings, Part III. Springer, Lecture notes in computer science, bind 7512, s. 147-155, Nice, Frankrig, 01/10/2012. https://doi.org/10.1007/978-3-642-33454-2_19

APA

Feragen, A., Petersen, J., Owen, M., Lo, P. C. P., Thomsen, L., Wille, M. M. W., ... de Bruijne, M. (2012). A hierarchical scheme for geodesic anatomical labeling of airway trees. I N. Ayache , H. Delingette , P. Golland, & K. Mori (red.), Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012: 15th International Conference, Nice, France, October 1-5, 2012, Proceedings, Part III (s. 147-155). Springer. Lecture notes in computer science, Bind. 7512 https://doi.org/10.1007/978-3-642-33454-2_19

Vancouver

Feragen A, Petersen J, Owen M, Lo PCP, Thomsen L, Wille MMW o.a. A hierarchical scheme for geodesic anatomical labeling of airway trees. I Ayache N, Delingette H, Golland P, Mori K, red., Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012: 15th International Conference, Nice, France, October 1-5, 2012, Proceedings, Part III. Springer. 2012. s. 147-155. (Lecture notes in computer science, Bind 7512). https://doi.org/10.1007/978-3-642-33454-2_19

Author

Feragen, Aasa ; Petersen, Jens ; Owen, Megan ; Lo, Pechin Chien Pau ; Thomsen, Laura ; Wille, Mathilde M. W. ; Dirksen, Asger ; de Bruijne, Marleen. / A hierarchical scheme for geodesic anatomical labeling of airway trees. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012: 15th International Conference, Nice, France, October 1-5, 2012, Proceedings, Part III. red. / Nicholas Ayache ; Hervé Delingette ; Polina Golland ; Kensaku Mori . Springer, 2012. s. 147-155 (Lecture notes in computer science, Bind 7512).

Bibtex

@inproceedings{7afc1510bdb64b3f8a2e37beb9a574ba,
title = "A hierarchical scheme for geodesic anatomical labeling of airway trees",
abstract = "We present a fast and robust supervised algorithm for label-ing anatomical airway trees, based on geodesic distances in a geometrictree-space. Possible branch label configurations for a given unlabeled air-way tree are evaluated based on the distances to a training set of labeledairway trees. In tree-space, the airway tree topology and geometry changecontinuously, giving a natural way to automatically handle anatomicaldifferences and noise. The algorithm is made efficient using a hierarchicalapproach, in which labels are assigned from the top down. We only usefeatures of the airway centerline tree, which is relatively unaffected bypathology.A thorough leave-one-patient-out evaluation of the algorithm is made on40 segmented airway trees from 20 subjects labeled by 2 medical experts.We evaluate accuracy, reproducibility and robustness in patients withChronic Obstructive Pulmonary Disease (COPD). Performance is statis-tically similar to the inter- and intra-expert agreement, and we found nosignificant correlation between COPD stage and labeling accuracy.",
author = "Aasa Feragen and Jens Petersen and Megan Owen and Lo, {Pechin Chien Pau} and Laura Thomsen and Wille, {Mathilde M. W.} and Asger Dirksen and {de Bruijne}, Marleen",
year = "2012",
doi = "10.1007/978-3-642-33454-2_19",
language = "English",
isbn = "978-3-642-33453-5",
pages = "147--155",
editor = "{Ayache }, {Nicholas } and {Delingette }, {Herv{\'e} } and Golland, {Polina } and {Mori }, {Kensaku }",
booktitle = "Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012",
publisher = "Springer",

}

RIS

TY - GEN

T1 - A hierarchical scheme for geodesic anatomical labeling of airway trees

AU - Feragen, Aasa

AU - Petersen, Jens

AU - Owen, Megan

AU - Lo, Pechin Chien Pau

AU - Thomsen, Laura

AU - Wille, Mathilde M. W.

AU - Dirksen, Asger

AU - de Bruijne, Marleen

PY - 2012

Y1 - 2012

N2 - We present a fast and robust supervised algorithm for label-ing anatomical airway trees, based on geodesic distances in a geometrictree-space. Possible branch label configurations for a given unlabeled air-way tree are evaluated based on the distances to a training set of labeledairway trees. In tree-space, the airway tree topology and geometry changecontinuously, giving a natural way to automatically handle anatomicaldifferences and noise. The algorithm is made efficient using a hierarchicalapproach, in which labels are assigned from the top down. We only usefeatures of the airway centerline tree, which is relatively unaffected bypathology.A thorough leave-one-patient-out evaluation of the algorithm is made on40 segmented airway trees from 20 subjects labeled by 2 medical experts.We evaluate accuracy, reproducibility and robustness in patients withChronic Obstructive Pulmonary Disease (COPD). Performance is statis-tically similar to the inter- and intra-expert agreement, and we found nosignificant correlation between COPD stage and labeling accuracy.

AB - We present a fast and robust supervised algorithm for label-ing anatomical airway trees, based on geodesic distances in a geometrictree-space. Possible branch label configurations for a given unlabeled air-way tree are evaluated based on the distances to a training set of labeledairway trees. In tree-space, the airway tree topology and geometry changecontinuously, giving a natural way to automatically handle anatomicaldifferences and noise. The algorithm is made efficient using a hierarchicalapproach, in which labels are assigned from the top down. We only usefeatures of the airway centerline tree, which is relatively unaffected bypathology.A thorough leave-one-patient-out evaluation of the algorithm is made on40 segmented airway trees from 20 subjects labeled by 2 medical experts.We evaluate accuracy, reproducibility and robustness in patients withChronic Obstructive Pulmonary Disease (COPD). Performance is statis-tically similar to the inter- and intra-expert agreement, and we found nosignificant correlation between COPD stage and labeling accuracy.

U2 - 10.1007/978-3-642-33454-2_19

DO - 10.1007/978-3-642-33454-2_19

M3 - Article in proceedings

SN - 978-3-642-33453-5

SP - 147

EP - 155

BT - Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012

A2 - Ayache , Nicholas

A2 - Delingette , Hervé

A2 - Golland, Polina

A2 - Mori , Kensaku

PB - Springer

ER -

ID: 38415541