Orthogonal‐polarization‐gating optical coherence tomography for human sweat ducts in vivo,Journal of Biophotonics

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Orthogonal‐polarization‐gating optical coherence tomography for human sweat ducts in vivo
Journal of Biophotonics ( IF 2.0 ) Pub Date : 2020-12-28 , DOI: 10.1002/jbio.202000432
Dezi Li ₁ , Zhifang Li ₁ , Jialing Zhang ₁ , Ke Li ₁ , Shulian Wu ₁ , Youwu He ₁ , Yongping Lin ₂

Affiliation

We propose an orthogonal‐polarization‐gating optical coherence tomography (OPG‐OCT) for human sweat ducts in vivo. OPG‐OCT is composed of the orthogonal linearly polarized light of a sample arm individually interfering with orthogonal linearly polarized lights of the reference arms, where OPG‐OCT induces two images, one reflecting the projection intensity and the other the horizontal linear diattenuation (HLD). The results demonstrate that OPG‐OCT projection intensity could improve the image quality of sweat ducts. HLD also clearly illustrates the spiral shape of the sweat ducts. Finally, sweat ducts in intensity image are segmented by employing convolutional neural networks (CNN). The proportions of left‐handed and right‐handed ducts are extracted to characterize the sweat ducts based on HLD. Therefore, the OPG‐OCT technique employing CNN for the human sweat glands has the potential to automatically identify the human sweat ducts in vivo.

中文翻译：

正交偏振门光学相干断层扫描术在体内人类汗管

我们提出了一种用于人体内汗管的正交偏振门光学相干断层扫描（OPG-OCT）。OPG-OCT由样品臂的正交线性偏振光分别干扰参考臂的正交线性偏振光组成，其中OPG-OCT会感应两幅图像，一个反射投影强度，另一个反射水平线性衰减（HLD）。结果表明，OPG-OCT投影强度可以改善汗管的图像质量。HLD还清楚地说明了汗管的螺旋形状。最后，通过使用卷积神经网络（CNN）对强度图像中的汗管进行分割。提取左手管道和右手管道的比例，以基于HLD表征汗管。所以，

更新日期：2020-12-28

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