Diagnostic Methods and Instrumentation for Aesthetic Skin Conditions
| Caglar Cengizler |
Year: |
2023 |
| |
Vol: |
2 |
| |
No: |
1 |
| |
PP 1-8 |
Abstract
Aesthetic skin conditions such as dark circles, wrinkles, and pigmentation around the eyes are often the subject of dermatological examination. At this point, an objective and high-accuracy evaluation can be critical in the development of effective approaches. In this study, the proposed instrumentation-based and computer-assisted approaches for effectively characterizing and evaluating skin appearance and health conditions are reviewed. Instruments developed for the assessment of skin features, such as skin elasticity, color change, and pigmentation, including Wood's lamp and spectrophotometer, have been investigated, along with some common computer-aided techniques that complement these methods, such as Wiener estimation, Principal Component Analysis (PCA), pseudo-inverse, and finite-dimensional modeling. The integration of these computational and instrument-based approaches provides a more comprehensive, accurate, and objective assessment of skin conditions and treatment efficacy. The study highlights the continued development of these technologies and their promise to improve dermatological research and practice.
Keywords
Dermatology; Instrumentation; Pigmentation; Evaluation; Computational
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References
- Kolodziejczak, A. and Rotsztejn, H. Efficacy of fractional laser, radiofrequency and IPL rejuvenation of periorbital region. In Lasers in Medical Science, 37 (2): 895-903, 2022.
- Dobrev, H. Use of Cutometer to assess epidermal hydration. In Skin research and technology, 6 (4): 239-244, 2000.
- Carpentier, PH; Satger, B; Poensin, D and Carpentier, L-F. La chromam'etrie, une technique prometteuse pour la quantification de l’atteinte cutan'ee dans l’insuffisance veineuse chronique. In Journal des maladies vasculaires, 38 (4): 236-242, 2013.
- Mac-Mary, S.; Zornoza Solinis, I.; Predine, O.; Sainthillier, J-M.; Sladen, C.; Bell, M. and O’Mahony, M. Identification of three key factors contributing to the aetiology of dark circles by clinical and instrumental assessments of the infraorbital region. In Clinical, Cosmetic and Investigational Dermatology: 919-929, 2019.
- Lee, J. A.; Osmanovic, S.; Viana, M. AG; Kapur, R.; Meghpara, B. and Edward, D. P Objective measurement of periocular pigmentation. In Photodermatology, photoimmunology & photomedicine, 24 (6): 285-290, 2008.
- GILCHREST, B. A; FITZPATRICK, T. B; ANDERSON, R R. and PARRISH, J. A Localization of melanin pigmentation in the skin with Wood's lamp. In British Journal of Dermatology, 96 (3): 245-248, 1977.
- Huang, Y-L.; Chang, S-L.; Ma, L.; Lee, M-C. and Hu, S. Clinical analysis and classification of dark eye circle. In International journal of dermatology, 53 (2): 164-170, 2014.
- Goldman, A.; Goldust, M. and Wollina, U. Periorbital hyperpigmentation—Dark circles under the eyes; treatment suggestions and combining procedures. In Cosmetics, 8 (2): 26, 2021.
- Kikuchi, K.; Masuda, Y. and Hirao, T. Imaging of hemoglobin oxygen saturation ratio in the face by spectral camera and its application to evaluate dark circles. In Skin research and technology, 19 (4): 499-507, 2013.
- He, Q. and Wang, R. Hyperspectral imaging enabled by an unmodified smartphone for analyzing skin morphological features and monitoring hemodynamics. In Biomedical optics express, 11 (2): 895-910, 2020.
- Rosen, C. F; Jacques, S. L; Stuart, M. E and Gange, R. W Immediate pigment darkening: visual and reflectance spectrophotometric analysis of action spectrum. In Photochemistry and photobiology, 51 (5): 583-588, 1990.
- Park, SR; Kim, HJ; Park, HK; Kim, JY; Kim, NS; Byun, KS; Moon, T. K; Byun, JW; Moon, JH and Choi, GS Classification by causes of dark circles and appropriate evaluation method of dark circles. In Skin Research and Technology, 22 (3): 276-283, 2016.
- Nkengne, A; Robic, J; Seroul, P; Gueheunneux, S; Jomier, M and Vie, K SpectraCamtextregistered: A new polarized hyperspectral imaging system for repeatable and reproducible in vivo skin quantification of melanin, total hemoglobin, and oxygen saturation. In Skin Research and Technology, 24 (1): 99-107, 2018.
- Nishidate, I.; Maeda, T.; Niizeki, K. and Aizu, Y. Estimation of melanin and hemoglobin using spectral reflectance images reconstructed from a digital RGB image by the Wiener estimation method. In Sensors, 13 (6): 7902-7915, 2013.
- Chen, S. and Liu, Q. Modified Wiener estimation of diffuse reflectance spectra from RGB values by the synthesis of new colors for tissue measurements. In Journal of Biomedical optics, 17 (3): 030501-030501, 2012.
- Pardo, LM; Hamer, MA; Liu, F.; Velthuis, P.; Kayser, M.; Gunn, DA and Nijsten, T. Principal component analysis of seven skin-ageing features identifies three main types of skin ageing. In British Journal of Dermatology, 182 (6): 1379-1387, 2020.
- Thanh, D. NH; Hien, N. N.; Surya Prasath, VB; Erkan, U. and Khamparia, A. Adaptive thresholding skin lesion segmentation with gabor filters and principal component analysis. In Intelligent Computing in Engineering: Select Proceedings of RICE 2019, pages 811-820, 2020.
- Shen, H-L.; Xin, J. H and Shao, S-J. Improved reflectance reconstruction for multispectral imaging by combining different techniques. In Optics express, 15 (9): 5531-5536, 2007.