title: Epidermal segmentation in high-definition optical coherence tomography.
abstract: Epidermis segmentation is a crucial step in many dermatological applications. Recently, high-definition optical coherence tomography (HD-OCT) has been developed and applied to imaging subsurface skin tissues. In this paper, a novel epidermis segmentation method using HD-OCT is proposed in which the epidermis is segmented by 3 steps: the weighted least square-based pre-processing, the graph-based skin surface detection and the local integral projection-based dermal-epidermal junction detection respectively. Using a dataset of five 3D volumes, we found that this method correlates well with the conventional method of manually marking out the epidermis. This method can therefore serve to effectively and rapidly delineate the epidermis for study and clinical management of skin diseases.
authors.forename: Annan
authors.initials: A
authors.lastname: Li
authors.forename: Jun
authors.initials: J
authors.lastname: Cheng
authors.forename: Ai Ping
authors.initials: AP
authors.lastname: Yow
authors.forename: Carolin
authors.initials: C
authors.lastname: Wall
authors.forename: Damon Wing Kee
authors.initials: DW
authors.lastname: Wong
authors.forename: Hong Liang
authors.initials: HL
authors.lastname: Tey
authors.forename: Jiang
authors.initials: J
authors.lastname: Liu
mesh_terms: D000465:Algorithms; D020405:Dermis / Q000473:pathology*; D004817:Epidermis / Q000473:pathology*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods; D021621:Imaging, Three-Dimensional; D016018:Least-Squares Analysis; D015233:Models, Statistical; D011336:Probability; D041623:Tomography, Optical Coherence