Automated segmentation and quantification of airway mucus with endobronchial optical coherence tomography

We propose a novel suite of algorithms for automatically segmenting the airway lumen and mucus in endobronchial optical coherence tomography (OCT) data sets, as well as a novel approach for quantifying the contents of the mucus. Mucus and lumen were segmented using a robust, multi-stage algorithm th...

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Udgivet i:Biomed Opt Express
Main Authors: Adams, David C., Pahlevaninezhad, Hamid, Szabari, Margit V., Cho, Josalyn L., Hamilos, Daniel L., Kesimer, Mehmet, Boucher, Richard C., Luster, Andrew D., Medoff, Benjamin D., Suter, Melissa J.
Format: Artigo
Sprog:Inglês
Udgivet: Optical Society of America 2017
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Article
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5654813/
https://ncbi.nlm.nih.gov/pubmed/29082098
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1364/BOE.8.004729
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