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Opt Express. 2015 Dec 28;23(26):33992-4006. doi: 10.1364/OE.23.033992.

Automatic airway wall segmentation and thickness measurement for long-range optical coherence tomography images.

Abstract

We present an automatic segmentation method for the delineation and quantitative thickness measurement of multiple layers in endoscopic airway optical coherence tomography (OCT) images. The boundaries of the mucosa and the sub-mucosa layers are accurately extracted using a graph-theory-based dynamic programming algorithm. The algorithm was tested with sheep airway OCT images. Quantitative thicknesses of the mucosal layers are obtained automatically for smoke inhalation injury experiments.

PMID:
26832057
PMCID:
PMC4741311
DOI:
10.1364/OE.23.033992
[Indexed for MEDLINE]
Free PMC Article

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