Skin pore imaging using spectral-domain optical coherence tomography: a case report

Hyunmo Kim, Dongwan Kang, Daewoon Seong, Sm Abu Saleah, Jannat Amrin Luna, Yoonseok Kim, Hayoung Kim, Sangyeob Han, Mansik Jeon, Jeehyun Kim

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)729-737
Number of pages9
JournalBiomedical Engineering Letters
Volume13
Issue number4
DOIs
StatePublished - Nov 2023

Keywords

  • Cross-sectional image
  • Facial skin pore
  • Image processing
  • Sebum extraction
  • Spectral-domain optical coherence tomography (SD-OCT)

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