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计算机辅助全脸皮肤成像系统的机制与应用

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

作者信息

Zhang Yue, Pan Ruoxin, Gu Duoduo, Meng Xiaoqi, Liu Tingwei, Xu Yang

机构信息

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

出版信息

Skin Health Dis. 2023 Dec 4;4(2):e320. doi: 10.1002/ski2.320. eCollection 2024 Apr.

Abstract

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.

摘要

计算机辅助全脸成像系统目前是皮肤科和医学美容领域应用最广泛的皮肤分析仪器之一。这些系统能对面部皮肤状况进行客观定量评估,且由于其非侵入性,在评估色素沉着、炎症、血管疾病、皮肤质地、衰老严重程度及治疗随访等皮肤病状况方面发挥着重要作用。尽管计算机辅助全脸成像系统能够在医疗和美容评估范围内进行定量分析,但由于环境和姿势因素或操作不当的影响,其结果可能会有很大差异。此外,为了获得更高的准确性,实验工作有时需要人工观察,并且要熟悉成像原理和应用要点才能更好地应用这项技术。本报告旨在讨论和解释这些系统的成像机制,并探讨其应用中的主要问题。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97bc/10988667/b711f9c1eb50/SKI2-4-e320-g004.jpg

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