Li Annan, Cheng Jun, Yow Ai Ping, Wall Carolin, Wong Damon Wing Kee, Tey Hong Liang, Liu Jiang
Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:3045-8. doi: 10.1109/EMBC.2015.7319034.
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.
表皮分割是许多皮肤病学应用中的关键步骤。近年来，高分辨率光学相干断层扫描（HD-OCT）已被开发并应用于皮下皮肤组织成像。本文提出了一种利用HD-OCT的新型表皮分割方法，该方法分三步分割表皮：分别是基于加权最小二乘法的预处理、基于图的皮肤表面检测和基于局部积分投影的真皮-表皮交界处检测。使用包含五个三维体积的数据集，我们发现该方法与传统的手动标记表皮的方法相关性良好。因此，该方法可有效地快速勾勒出表皮，用于皮肤病的研究和临床管理。
