| Determination of skin repigmentation progression. | |
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MedLine Citation:
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PMID: 18002737 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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In this paper, we describe an image processing scheme to analyze and determine areas of skin that have undergone repigmentation in particular, during the treatment of vitiligo. In vitiligo cases, areas of skin become pale or white due to the lack of skin pigment called melanin. Vitiligo treatment causes skin repigmentation resulting in a normal skin color. However, it is difficult to determine and quantify the amount of repigmentation visually during treatment because the repigmentation progress is slow and moreover changes in skin color can only be discerned over a longer time frame typically 6 months. Here, we develop a digital image analysis scheme that can identify and determine vitiligo skin areas and repigmentation progression on a shorter time period. The technique is based on principal component analysis and independent component analysis which converts the RGB skin image into a skin image that represent skin areas due to melanin and haemoglobin only, followed by segmentation process. Vitiligo skin lesions are identified as skin areas that lack melanin (non-melanin areas). In the initial studies of 4 patients, the method has been able to quantify repigmentation in vitiligo lesion. Hence it is now possible to determine repigmentation progression objectively and treatment efficacy on a shorter time cycle. |
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Authors:
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Hermawan Nugroho; M H Ahmad Fadzil; V V Yap; S Norashikin; H H Suraiya |
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Publication Detail:
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Type: Evaluation Studies; Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference Volume: 2007 ISSN: 1557-170X ISO Abbreviation: Conf Proc IEEE Eng Med Biol Soc Publication Date: 2007 |
Date Detail:
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Created Date: 2007-11-16 Completed Date: 2008-03-27 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101243413 Medline TA: Conf Proc IEEE Eng Med Biol Soc Country: United States |
Other Details:
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Languages: eng Pagination: 3442-5 Citation Subset: IM |
Affiliation:
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Department of Electrical and Electronics Engineering, Universiti Teknologi, PETRONAS, Bandar Sri Iskandar, 31750 Tronoh, Perak Darul Ridzuan, Malaysia. hermawan_nugroho@utp.edu.my |
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| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms Colorimetry / methods* Dermoscopy / methods* Disease Progression Humans Image Enhancement / methods Image Interpretation, Computer-Assisted / methods* Information Storage and Retrieval / methods* Prognosis Reproducibility of Results Sensitivity and Specificity Skin Pigmentation* Treatment Outcome Vitiligo / diagnosis*, physiopathology, therapy* |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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