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KMID : 1144120230130040729
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Biomedical Engineering Letters
2023 Volume.13 No. 4 p.729 ~ p.737
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Skin pore imaging using spectral-domain optical coherence tomography: a case report
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Kim Hyun-Mo
Kim Su-Jin
Kim Jong-Sin
Sm Abu Saleah
Jannat Amrin Luna
Kim Yoon-Seok
Kim Ha-Young
Han Sang-Yeob
Jeon Man-Sik
Kim Jee-Hyun
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Abstract
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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.
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KEYWORD
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Facial skin pore, Spectral-domain optical coherence tomography (SD-OCT), Sebum extraction, Image processing, Cross-sectional image
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