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

Publication Type:

Journal Article

Source:

Optics express, Volume 23, Issue 26, p.33992-4006 (2015)

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.

Tags 
LAMMP
PMCID 
PMC474131