Computer-Aided Detection (CADe) System with Optical Coherent Tomography for Melanin Morphology Quantification in Melasma Patients
Dark skin-type individuals have a greater tendency to have pigmentary disorders, among which melasma is especially refractory to treat and often recurs. Objective measurement of melanin amount helps evaluate the treatment response of pigmentary disorders. However, naked-eye evaluation is subjective...
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doaj-5b209006e05e4e9e8337e22074e56e2f2021-08-26T13:40:38ZengMDPI AGDiagnostics2075-44182021-08-01111498149810.3390/diagnostics11081498Computer-Aided Detection (CADe) System with Optical Coherent Tomography for Melanin Morphology Quantification in Melasma PatientsI-Ling Chen0Yen-Jen Wang1Chang-Cheng Chang2Yu-Hung Wu3Chih-Wei Lu4Jia-Wei Shen5Ling Huang6Bor-Shyh Lin7Hsiu-Mei Chiang8Apollo Medical Optics, Ltd., Taipei City 11491, TaiwanDepartment of Dermatology, MacKay Memorial Hospital, Taipei City 10449, TaiwanInstitute of Imaging and Biomedical Photonics, National Yang Ming Chiao Tung University, Tainan 71150, TaiwanDepartment of Dermatology, MacKay Memorial Hospital, Taipei City 10449, TaiwanApollo Medical Optics, Ltd., Taipei City 11491, TaiwanDepartment of Cosmeceutics, China Medical University, Taichung 40433, TaiwanApollo Medical Optics, Ltd., Taipei City 11491, TaiwanInstitute of Imaging and Biomedical Photonics, National Yang Ming Chiao Tung University, Tainan 71150, TaiwanDepartment of Cosmeceutics, China Medical University, Taichung 40433, TaiwanDark skin-type individuals have a greater tendency to have pigmentary disorders, among which melasma is especially refractory to treat and often recurs. Objective measurement of melanin amount helps evaluate the treatment response of pigmentary disorders. However, naked-eye evaluation is subjective to weariness and bias. We used a cellular resolution full-field optical coherence tomography (FF-OCT) to assess melanin features of melasma lesions and perilesional skin on the cheeks of eight Asian patients. A computer-aided detection (CADe) system is proposed to mark and quantify melanin. This system combines spatial compounding-based denoising convolutional neural networks (SC-DnCNN), and through image processing techniques, various types of melanin features, including area, distribution, intensity, and shape, can be extracted. Through evaluations of the image differences between the lesion and perilesional skin, a distribution-based feature of confetti melanin without layering, two distribution-based features of confetti melanin in stratum spinosum, and a distribution-based feature of grain melanin at the dermal–epidermal junction, statistically significant findings were achieved (<i>p</i>-values = 0.0402, 0.0032, 0.0312, and 0.0426, respectively). FF-OCT enables the real-time observation of melanin features, and the CADe system with SC-DnCNN was a precise and objective tool with which to interpret the area, distribution, intensity, and shape of melanin on FF-OCT images.https://www.mdpi.com/2075-4418/11/8/1498melasmamelaninoptical coherence tomographycellular resolutionfull-field OCTphotoaging |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
I-Ling Chen Yen-Jen Wang Chang-Cheng Chang Yu-Hung Wu Chih-Wei Lu Jia-Wei Shen Ling Huang Bor-Shyh Lin Hsiu-Mei Chiang |
spellingShingle |
I-Ling Chen Yen-Jen Wang Chang-Cheng Chang Yu-Hung Wu Chih-Wei Lu Jia-Wei Shen Ling Huang Bor-Shyh Lin Hsiu-Mei Chiang Computer-Aided Detection (CADe) System with Optical Coherent Tomography for Melanin Morphology Quantification in Melasma Patients Diagnostics melasma melanin optical coherence tomography cellular resolution full-field OCT photoaging |
author_facet |
I-Ling Chen Yen-Jen Wang Chang-Cheng Chang Yu-Hung Wu Chih-Wei Lu Jia-Wei Shen Ling Huang Bor-Shyh Lin Hsiu-Mei Chiang |
author_sort |
I-Ling Chen |
title |
Computer-Aided Detection (CADe) System with Optical Coherent Tomography for Melanin Morphology Quantification in Melasma Patients |
title_short |
Computer-Aided Detection (CADe) System with Optical Coherent Tomography for Melanin Morphology Quantification in Melasma Patients |
title_full |
Computer-Aided Detection (CADe) System with Optical Coherent Tomography for Melanin Morphology Quantification in Melasma Patients |
title_fullStr |
Computer-Aided Detection (CADe) System with Optical Coherent Tomography for Melanin Morphology Quantification in Melasma Patients |
title_full_unstemmed |
Computer-Aided Detection (CADe) System with Optical Coherent Tomography for Melanin Morphology Quantification in Melasma Patients |
title_sort |
computer-aided detection (cade) system with optical coherent tomography for melanin morphology quantification in melasma patients |
publisher |
MDPI AG |
series |
Diagnostics |
issn |
2075-4418 |
publishDate |
2021-08-01 |
description |
Dark skin-type individuals have a greater tendency to have pigmentary disorders, among which melasma is especially refractory to treat and often recurs. Objective measurement of melanin amount helps evaluate the treatment response of pigmentary disorders. However, naked-eye evaluation is subjective to weariness and bias. We used a cellular resolution full-field optical coherence tomography (FF-OCT) to assess melanin features of melasma lesions and perilesional skin on the cheeks of eight Asian patients. A computer-aided detection (CADe) system is proposed to mark and quantify melanin. This system combines spatial compounding-based denoising convolutional neural networks (SC-DnCNN), and through image processing techniques, various types of melanin features, including area, distribution, intensity, and shape, can be extracted. Through evaluations of the image differences between the lesion and perilesional skin, a distribution-based feature of confetti melanin without layering, two distribution-based features of confetti melanin in stratum spinosum, and a distribution-based feature of grain melanin at the dermal–epidermal junction, statistically significant findings were achieved (<i>p</i>-values = 0.0402, 0.0032, 0.0312, and 0.0426, respectively). FF-OCT enables the real-time observation of melanin features, and the CADe system with SC-DnCNN was a precise and objective tool with which to interpret the area, distribution, intensity, and shape of melanin on FF-OCT images. |
topic |
melasma melanin optical coherence tomography cellular resolution full-field OCT photoaging |
url |
https://www.mdpi.com/2075-4418/11/8/1498 |
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