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:
https://doi.org/10.1371/journal.pone.0226006
Souhrn
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
Zdroje
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Článek vyšel v časopise
PLOS One
2019 Číslo 12
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