A hierarchical scheme for geodesic anatomical labeling of airway trees

Aasa Feragen, Jens Petersen, Megan Owen, Pechin Lo, Laura H. Thomsen, Mathilde M.W. Wille, Asger Dirksen, Marleen de Bruijne

Research output: Chapter/Conference proceedingConference proceedingAcademicpeer-review

23 Citations (Scopus)

Abstract

We present a fast and robust supervised algorithm for labeling anatomical airway trees, based on geodesic distances in a geometric tree-space. Possible branch label configurations for a given tree are evaluated based on distances to a training set of labeled trees. In tree-space, the tree topology and geometry change continuously, giving a natural way to automatically handle anatomical differences and noise. The algorithm is made efficient using a hierarchical approach, in which labels are assigned from the top down. We only use features of the airway centerline tree, which are relatively unaffected by pathology. A thorough leave-one-patient-out evaluation of the algorithm is made on 40 segmented airway trees from 20 subjects labeled by 2 medical experts. We evaluate accuracy, reproducibility and robustness in patients with Chronic Obstructive Pulmonary Disease (COPD). Performance is statistically similar to the inter- and intra-expert agreement, and we found no significant correlation between COPD stage and labeling accuracy.

Original languageEnglish
Title of host publicationMedical Image Computing and Computer-Assisted Intervention, MICCAI2012 - 15th International Conference, Proceedings
EditorsNicholas Ayache, Herve Delingette, Polina Golland, Kensaku Mori
PublisherSpringer-Verlag
Pages147-155
Number of pages9
ISBN (Print)9783642334535
DOIs
Publication statusPublished - 2012
Event15th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2012 - Nice, France
Duration: 1 Oct 20125 Oct 2012

Publication series

SeriesLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7512 LNCS
ISSN0302-9743

Conference

Conference15th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2012
Country/TerritoryFrance
CityNice
Period1/10/125/10/12

Bibliographical note

Funding Information:
Acknowledgement. This research was supported by the Lundbeck Foundation; AstraZeneca; The Danish Council for Strategic Research; Netherlands Organisation for Scientific Research; Centre for Stochastic Geometry and Advanced Bioimaging, funded by the Villum Foundation. M.O. was funded by a Fields-Ontario Postdoctoral Fellowship.

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2012.

Fingerprint

Dive into the research topics of 'A hierarchical scheme for geodesic anatomical labeling of airway trees'. Together they form a unique fingerprint.

Cite this