| Literature DB >> 26832057 |
Li Qi, Shenghai Huang, Andrew E Heidari, Cuixia Dai, Jiang Zhu, Xuping Zhang, Zhongping Chen.
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.Entities:
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Year: 2015 PMID: 26832057 PMCID: PMC4741311 DOI: 10.1364/OE.23.033992
Source DB: PubMed Journal: Opt Express ISSN: 1094-4087 Impact factor: 3.894