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Article Dans Une Revue IEEE Transactions on Medical Imaging Année : 2012

Extraction of airways from CT (EXACT'09).

Pechin Lo
  • Fonction : Auteur
Joseph M Reinhardt
  • Fonction : Auteur
Tarunashree Yavarna
  • Fonction : Auteur
Pim A de Jong
  • Fonction : Auteur
Rômulo Pinho
  • Fonction : Auteur
Jan Sijbers
  • Fonction : Auteur
Marco Feuerstein
  • Fonction : Auteur
Anna Fabijańska
  • Fonction : Auteur
Christian Bauer
  • Fonction : Auteur
Reinhard Beichel
  • Fonction : Auteur
Carlos S Mendoza
  • Fonction : Auteur
Jaesung Lee
  • Fonction : Auteur
Anthony P Reeves
  • Fonction : Auteur
Silvia Born
  • Fonction : Auteur
Oliver Weinheimer
  • Fonction : Auteur
Eva M van Rikxoort
  • Fonction : Auteur
Juerg Tschirren
  • Fonction : Auteur
Ken Mori
  • Fonction : Auteur
Benjamin Odry
  • Fonction : Auteur
David P Naidich
  • Fonction : Auteur
Ieneke Hartmann
  • Fonction : Auteur
Eric A Hoffman
  • Fonction : Auteur
Jesper H Pedersen
  • Fonction : Auteur

Résumé

This paper describes a framework for establishing a reference airway tree segmentation, which was used to quantitatively evaluate fifteen different airway tree extraction algorithms in a standardized manner. Because of the sheer difficulty involved in manually constructing a complete reference standard from scratch, we propose to construct the reference using results from all algorithms that are to be evaluated. We start by subdividing each segmented airway tree into its individual branch segments. Each branch segment is then visually scored by trained observers to determine whether or not it is a correctly segmented part of the airway tree. Finally, the reference airway trees are constructed by taking the union of all correctly extracted branch segments. Fifteen airway tree extraction algorithms from different research groups are evaluated on a diverse set of twenty chest computed tomography (CT) scans of subjects ranging from healthy volunteers to patients with severe pathologies, scanned at different sites, with different CT scanner brands, models, and scanning protocols. Three performance measures covering different aspects of segmentation quality were computed for all participating algorithms. Results from the evaluation showed that no single algorithm could extract more than an average of 74% of the total length of all branches in the reference standard, indicating substantial differences between the algorithms. A fusion scheme that obtained superior results is presented, demonstrating that there is complementary information provided by the different algorithms and there is still room for further improvements in airway segmentation algorithms.

Dates et versions

hal-00940864 , version 1 (03-02-2014)

Identifiants

Citer

Pechin Lo, Bram van Ginneken, Joseph M Reinhardt, Tarunashree Yavarna, Pim A de Jong, et al.. Extraction of airways from CT (EXACT'09).. IEEE Transactions on Medical Imaging, 2012, 31 (11), pp.2093-107. ⟨10.1109/TMI.2012.2209674⟩. ⟨hal-00940864⟩
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