Kim Hyunmo, Kang Dongwan, Seong Daewoon, Saleah Sm Abu, Luna Jannat Amrin, Kim Yoonseok, Kim Hayoung, Han Sangyeob, Jeon Mansik, Kim Jeehyun
School of Electronic and Electrical Engineering, College of IT Engineering, Kyungpook National University, Daegu, 41566 Republic of Korea.
School of Medicine, Institute of Biomedical Engineering, Kyungpook National University, Daegu, 41566 Republic of Korea.
Biomed Eng Lett. 2023 Jul 3;13(4):729-737. doi: 10.1007/s13534-023-00290-y. eCollection 2023 Nov.
Sebum is an important component of the skin that has attracted attention in many fields, including dermatology and cosmetics. Pore expansion due to sebum on the skin can lead to various problems. Therefore, it is necessary to analyze the morphological characteristics of sebum. In this study, we used optical coherence tomography (OCT) to evaluate facial sebum areas. We obtained the OCT maximum amplitude projection (MAP) image and a cross-sectional image of skin pores in the facial area. Subsequently, we detected the sebum in skin pores using the detection algorithm of the ImageJ software to quantitatively determine the size of randomly selected pores in the proposed MAP images. Additionally, the pore size was analyzed by acquiring images before and after facial sebum extraction. According to our research, facial sebum can be morphologically described using the OCT system. Since OCT imaging enables specific analysis of skin parameters, including pores and sebum, skin analysis employing OCT could be an effective method for further research.
皮脂是皮肤的重要组成部分，在包括皮肤病学和化妆品在内的许多领域都受到了关注。皮肤上的皮脂导致毛孔扩张会引发各种问题。因此，有必要分析皮脂的形态特征。在本研究中，我们使用光学相干断层扫描（OCT）来评估面部皮脂区域。我们获得了OCT最大振幅投影（MAP）图像以及面部区域皮肤毛孔的横截面图像。随后，我们使用ImageJ软件的检测算法检测皮肤毛孔中的皮脂，以定量确定所提出的MAP图像中随机选择的毛孔大小。此外，通过获取面部皮脂提取前后的图像来分析毛孔大小。根据我们的研究，面部皮脂可以使用OCT系统进行形态学描述。由于OCT成像能够对包括毛孔和皮脂在内的皮肤参数进行特定分析，采用OCT进行皮肤分析可能是进一步研究的有效方法。
