Skip to main content
eScholarship
Open Access Publications from the University of California

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

  • Author(s): Qi, Li
  • Huang, Shenghai
  • Heidari, Andrew E
  • Dai, Cuixia
  • Zhu, Jiang
  • Zhang, Xuping
  • Chen, Zhongping
  • et al.
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.

Many UC-authored scholarly publications are freely available on this site because of the UC's open access policies. Let us know how this access is important for you.

Main Content
Current View