Segmentation of distal airways using structural analysis

Autoři: Debora Gil aff001;  Carles Sanchez aff001;  Agnes Borras aff001;  Marta Diez-Ferrer aff002;  Antoni Rosell aff003
Působiště autorů: Comp. Vision Center and Comp. Science Dept, UAB, Barcelona, Spain aff001;  Pneumology Unit, Hosp. Univ. Bellvitge, IDIBELL, CIBERES, Barcelona, Spain aff002;  Hosp. Univ. Germans Trias i Pujol, Badalona, Spain aff003
Vyšlo v časopise: PLoS ONE 14(12)
Kategorie: Research Article
doi: 10.1371/journal.pone.0226006


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.

Klíčová slova:

Algorithms – Anisotropy – Bronchi – Computed axial tomography – Convolution – Diagnostic medicine – Pulmonary imaging – Structural analysis


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Článek vyšel v časopise


2019 Číslo 12