The Structure of Human Sebaceous Glands and Its Relation to Skin Viscoelasticity

Kazutoshi Kumagai, Saaya Yokoshiki, Kazuto Kobayashi, Yoshifumi Saijo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

High-frequency ultrasound has realized high-resolution observation of deep part of the dermis in vivo. The size of sebaceous glands was evaluated by three-dimensional ultrasound microscopy with the ultrasonic frequency of 120 MHz. The viscoelasticity of the same regions was measured by well-established biomechanical equipment. There was no significant difference between the size of sebaceous glands in cheek and forearm. The skin's ability to recover to its initial position after deformation was significantly higher in forearm than in cheek. Both sizes of sebaceous glands in cheek and forearm were positively correlated with the parameter of viscoelasticity. The size of the sebaceous glands in the deep part of the dermis can be a parameter of skin viscoelasticity. High-frequency ultrasound imaging contributes to the evaluation of human skin morphology as well as functions.

Original languageEnglish
Title of host publication40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3460-3463
Number of pages4
ISBN (Electronic)9781538636466
DOIs
Publication statusPublished - 2018 Oct 26
Event40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018 - Honolulu, United States
Duration: 2018 Jul 182018 Jul 21

Publication series

NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Volume2018-July
ISSN (Print)1557-170X

Other

Other40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
Country/TerritoryUnited States
CityHonolulu
Period18/7/1818/7/21

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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