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Segmentation of distal airways using structural analysis

Author

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  • Debora Gil
  • Carles Sanchez
  • Agnes Borras
  • Marta Diez-Ferrer
  • Antoni Rosell

Abstract

Segmentation of airways in Computed Tomography (CT) scans is a must for accurate support of diagnosis and intervention of many pulmonary disorders. In particular, lung cancer diagnosis would benefit from segmentations reaching most distal airways. We present a method that combines descriptors of bronchi local appearance and graph global structural analysis to fine-tune thresholds on the descriptors adapted for each bronchial level. We have compared our method to the top performers of the EXACT09 challenge and to a commercial software for biopsy planning evaluated in an own-collected data-base of high resolution CT scans acquired under different breathing conditions. Results on EXACT09 data show that our method provides a high leakage reduction with minimum loss in airway detection. Results on our data-base show the reliability across varying breathing conditions and a competitive performance for biopsy planning compared to a commercial solution.

Suggested Citation

  • Debora Gil & Carles Sanchez & Agnes Borras & Marta Diez-Ferrer & Antoni Rosell, 2019. "Segmentation of distal airways using structural analysis," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-17, December.
    • Handle: RePEc:plo:pone00:0226006
    DOI: 10.1371/journal.pone.0226006
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