The mechanism and application of computer-assisted full facial skin imaging systems.


Journal

Skin health and disease
ISSN: 2690-442X
Titre abrégé: Skin Health Dis
Pays: England
ID NLM: 9918227353706676

Informations de publication

Date de publication:
Apr 2024
Historique:
received: 16 06 2023
revised: 20 10 2023
accepted: 15 11 2023
medline: 5 4 2024
pubmed: 5 4 2024
entrez: 5 4 2024
Statut: epublish

Résumé

Computer-assisted full facial imaging systems are currently among the most widely used skin analysis instruments in dermatology and medical cosmetology. These systems offer objective quantitative evaluation of facial skin conditions, and as they are non-invasive, play an important role in assessing dermatological conditions such as pigmentation, inflammation, vascular diseases, skin texture, the severity of ageing, and therapeutic follow-up. Although computer-assisted full facial imaging systems enable quantitative analysis in the scope of medical treatment and cosmetic evaluation, their results may considerably vary because of the influence of environmental and postural factors for improper operation. Furthermore, manual observation is sometimes necessary for experimental work for more accuracy, and familiarity with the imaging principles and application points is necessary to best apply this technique. This report aims to discuss and interpret these systems' imaging mechanisms and explore the primary issues with their application.

Identifiants

pubmed: 38577059
doi: 10.1002/ski2.320
pii: SKI2320
pmc: PMC10988667
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

e320

Informations de copyright

© 2023 The Authors. Skin Health and Disease published by John Wiley & Sons Ltd on behalf of British Association of Dermatologists.

Déclaration de conflit d'intérêts

The authors declare no conflicts of interest.

Auteurs

Yue Zhang (Y)

Department of Dermatology The First Affiliated Hospital of Nanjing Medical University Nanjing China.

Ruoxin Pan (R)

Department of Dermatology The First Affiliated Hospital of Nanjing Medical University Nanjing China.

Duoduo Gu (D)

Department of Dermatology The First Affiliated Hospital of Nanjing Medical University Nanjing China.

Xiaoqi Meng (X)

Department of Dermatology The First Affiliated Hospital of Nanjing Medical University Nanjing China.

Tingwei Liu (T)

Department of Dermatology The First Affiliated Hospital of Nanjing Medical University Nanjing China.

Yang Xu (Y)

Department of Dermatology The First Affiliated Hospital of Nanjing Medical University Nanjing China.

Classifications MeSH