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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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Autores principales: Chen, I-Ling, Wang, Yen-Jen, Chang, Chang-Cheng, Wu, Yu-Hung, Lu, Chih-Wei, Shen, Jia-Wei, Huang, Ling, Lin, Bor-Shyh, Chiang, Hsiu-Mei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8391880/
https://www.ncbi.nlm.nih.gov/pubmed/34441432
http://dx.doi.org/10.3390/diagnostics11081498
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author Chen, I-Ling
Wang, Yen-Jen
Chang, Chang-Cheng
Wu, Yu-Hung
Lu, Chih-Wei
Shen, Jia-Wei
Huang, Ling
Lin, Bor-Shyh
Chiang, Hsiu-Mei
author_facet Chen, I-Ling
Wang, Yen-Jen
Chang, Chang-Cheng
Wu, Yu-Hung
Lu, Chih-Wei
Shen, Jia-Wei
Huang, Ling
Lin, Bor-Shyh
Chiang, Hsiu-Mei
author_sort Chen, I-Ling
collection PubMed
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 (p-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.
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spelling pubmed-83918802021-08-28 Computer-Aided Detection (CADe) System with Optical Coherent Tomography for Melanin Morphology Quantification in Melasma Patients Chen, I-Ling Wang, Yen-Jen Chang, Chang-Cheng Wu, Yu-Hung Lu, Chih-Wei Shen, Jia-Wei Huang, Ling Lin, Bor-Shyh Chiang, Hsiu-Mei Diagnostics (Basel) Article 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 (p-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. MDPI 2021-08-19 /pmc/articles/PMC8391880/ /pubmed/34441432 http://dx.doi.org/10.3390/diagnostics11081498 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Chen, I-Ling
Wang, Yen-Jen
Chang, Chang-Cheng
Wu, Yu-Hung
Lu, Chih-Wei
Shen, Jia-Wei
Huang, Ling
Lin, Bor-Shyh
Chiang, Hsiu-Mei
Computer-Aided Detection (CADe) System with Optical Coherent Tomography for Melanin Morphology Quantification in Melasma Patients
title 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_short 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
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8391880/
https://www.ncbi.nlm.nih.gov/pubmed/34441432
http://dx.doi.org/10.3390/diagnostics11081498
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