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Techniques and Applications in Skin OCT Analysis

  • Ai Ping Yow
  • Ruchir Srivastava
  • Jun Cheng
  • Annan Li
  • Jiang Liu
  • Leopold Schmetterer
  • Hong Liang Tey
  • Damon W. K. Wong
Chapter
  • 80 Downloads
Part of the Advances in Experimental Medicine and Biology book series (AEMB, volume 1213)

Abstract

The skin is the largest organ of our body. Skin disease abnormalities which occur within the skin layers are difficult to examine visually and often require biopsies to make a confirmation on a suspected condition. Such invasive methods are not well-accepted by children and women due to the possibility of scarring. Optical coherence tomography (OCT) is a non-invasive technique enabling in vivo examination of sub-surface skin tissue without the need for excision of tissue. However, one of the challenges in OCT imaging is the interpretation and analysis of OCT images. In this review, we discuss the various methodologies in skin layer segmentation and how it could potentially improve the management of skin diseases. We also present a review of works which use advanced machine learning techniques to achieve layers segmentation and detection of skin diseases. Lastly, current challenges in analysis and applications are also discussed.

Keywords

Skin Optical coherence tomography (OCT) Roughness Dermal-epidermal junction (DEJ) Basal cell carcinoma (BCC) Epidermis Dermis Segmentation Graph Deep learning 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Ai Ping Yow
    • 1
    • 2
    • 3
  • Ruchir Srivastava
    • 4
  • Jun Cheng
    • 5
  • Annan Li
    • 6
  • Jiang Liu
    • 5
    • 7
  • Leopold Schmetterer
    • 2
    • 3
    • 8
    • 9
  • Hong Liang Tey
    • 10
    • 11
    • 12
  • Damon W. K. Wong
    • 1
    • 2
    • 3
  1. 1.Institute for Health Technologies, Nanyang Technological UniversitySingaporeSingapore
  2. 2.SERI-NTU Advanced Ocular Engineering (STANCE)SingaporeSingapore
  3. 3.Singapore Eye Research Institute, Singapore National Eye CentreSingaporeSingapore
  4. 4.Institute for Infocomm Research, A∗STARSingaporeSingapore
  5. 5.Cixi Institute of Biomedical Engineering, Chinese Academy of SciencesBeijingChina
  6. 6.Beihang UniversityBeijingChina
  7. 7.Southern University of Science and TechnologyShenzhenChina
  8. 8.Center for Medical Physics and Biomedical Engineering, Medical University of ViennaViennaAustria
  9. 9.Department of Clinical PharmacologyMedical University of ViennaViennaAustria
  10. 10.National Skin CentreSingaporeSingapore
  11. 11.Yong Loo Lin School of Medicine, National University of SingaporeSingaporeSingapore
  12. 12.Lee Kong Chian School of Medicine, Nanyang Technological UniversitySingaporeSingapore

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