Automatic characterization and segmentation of human skin using three-dimensional optical coherence tomography
Automatic characterization and segmentation of human skin using three-dimensional optical coherence tomography
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DOI：
10.1364/oe.14.001862
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发表时间：
2006-03-06
期刊：
影响因子：
3.8
通讯作者：
Yatagai, T
中科院分区：
文献类型：
--
作者：
Hori, Y;Yasuno, Y;Yatagai, T
本文报道了一套专门用于分析人体皮肤三维光学相干断层扫描（OCT）体积的全自动算法。算法集首先确定OCT体积的皮肤表面，面向深度的算法提供平均表皮厚度、表皮分布图和表皮的分段体积。随后，通过一种算法生成面部阴影图，以高对比度显示皮肤中的漏斗。利用基于直方图的阈值分割算法和距离映射算法确定了井底的种群和占用率。从样本表面提取恒定深度的面部OCT切片，并再次对这些切片应用基于直方图的阈值分割算法，得到漏斗的三维分割体积。皮肤衰减系数也从OCT体积计算，以评估皮肤质地。该算法集检测了几名志愿者皮肤的扫描源OCT体积，结果表明该算法具有高稳定性、可移植性和可重复性。(c) 2006年美国光学学会。
A set of fully automated algorithms that is specialized for analyzing a three-dimensional optical coherence tomography (OCT) volume of human skin is reported. The algorithm set first determines the skin surface of the OCT volume, and a depth-oriented algorithm provides the mean epidermal thickness, distribution map of the epidermis, and a segmented volume of the epidermis. Subsequently, an en face shadowgram is produced by an algorithm to visualize the infundibula in the skin with high contrast. The population and occupation ratio of the infundibula are provided by a histogram-based thresholding algorithm and a distance mapping algorithm. En face OCT slices at constant depths from the sample surface are extracted, and the histogram-based thresholding algorithm is again applied to these slices, yielding a three-dimensional segmented volume of the infundibula. The dermal attenuation coefficient is also calculated from the OCT volume in order to evaluate the skin texture. The algorithm set examines swept-source OCT volumes of the skins of several volunteers, and the results show the high stability, portability and reproducibility of the algorithm. (c) 2006 Optical Society of America.