Computerised image analysis of vitiligo lesion: evaluation using manually defined lesion areas
Background: Vitiligo is a cutaneous pigmentary disorder characterized by depigmented macules and patches that result from loss of epidermal melanocytes. Physician evaluates the efficacy of treatment by comparing the extent of vitiligo lesions before and after treatment based on the overall visual im...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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John Wiley & Sons
2013
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| Online Access: | http://psasir.upm.edu.my/id/eprint/29550/ http://psasir.upm.edu.my/id/eprint/29550/1/Computerised%20image%20analysis%20of%20vitiligo%20lesion%20evaluation%20using%20manually%20defined%20lesion%20areas.pdf |
| _version_ | 1848846430076141568 |
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| author | Nugroho, Hermawan Mohd Hani, Ahmad Fadzil Shamsudin, Norashikin Hussein, Suraiya Hani |
| author_facet | Nugroho, Hermawan Mohd Hani, Ahmad Fadzil Shamsudin, Norashikin Hussein, Suraiya Hani |
| author_sort | Nugroho, Hermawan |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Background: Vitiligo is a cutaneous pigmentary disorder characterized by depigmented macules and patches that result from loss of epidermal melanocytes. Physician evaluates the efficacy of treatment by comparing the extent of vitiligo lesions before and after treatment based on the overall visual impression of the treatment response. This method is called the physician's global assessment (PGA) which is subjective. In this article, we present an innovative digital image processing method to determine vitiligo lesion area in an objective manner. Method: The digital method uses Independent Component Analysis (ICA) to generate melanin-based images representing skin areas due to melanin followed by Region Growing process to segment vitiligo lesion from normal skin. Results: Based on 41 digital images of vitiligo lesions taken from 18 patients, the proposed method achieved sensitivities of 0.9105 ± 0.0161, specificities of 0.9973 ± 0.0009 and accuracies of 0.9901 ± 0.0028 at 95% confidence level. Conclusion: With the proposed method, physicians are able to assess vitiligo treatment efficacies objectively. |
| first_indexed | 2025-11-15T09:02:35Z |
| format | Article |
| id | upm-29550 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T09:02:35Z |
| publishDate | 2013 |
| publisher | John Wiley & Sons |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-295502016-07-12T08:32:22Z http://psasir.upm.edu.my/id/eprint/29550/ Computerised image analysis of vitiligo lesion: evaluation using manually defined lesion areas Nugroho, Hermawan Mohd Hani, Ahmad Fadzil Shamsudin, Norashikin Hussein, Suraiya Hani Background: Vitiligo is a cutaneous pigmentary disorder characterized by depigmented macules and patches that result from loss of epidermal melanocytes. Physician evaluates the efficacy of treatment by comparing the extent of vitiligo lesions before and after treatment based on the overall visual impression of the treatment response. This method is called the physician's global assessment (PGA) which is subjective. In this article, we present an innovative digital image processing method to determine vitiligo lesion area in an objective manner. Method: The digital method uses Independent Component Analysis (ICA) to generate melanin-based images representing skin areas due to melanin followed by Region Growing process to segment vitiligo lesion from normal skin. Results: Based on 41 digital images of vitiligo lesions taken from 18 patients, the proposed method achieved sensitivities of 0.9105 ± 0.0161, specificities of 0.9973 ± 0.0009 and accuracies of 0.9901 ± 0.0028 at 95% confidence level. Conclusion: With the proposed method, physicians are able to assess vitiligo treatment efficacies objectively. John Wiley & Sons 2013-02 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/29550/1/Computerised%20image%20analysis%20of%20vitiligo%20lesion%20evaluation%20using%20manually%20defined%20lesion%20areas.pdf Nugroho, Hermawan and Mohd Hani, Ahmad Fadzil and Shamsudin, Norashikin and Hussein, Suraiya Hani (2013) Computerised image analysis of vitiligo lesion: evaluation using manually defined lesion areas. Skin Research and Technology, 19 (1). e72-e77. ISSN 0909-752X; ESSN: 1600-0846 http://onlinelibrary.wiley.com/doi/10.1111/j.1600-0846.2011.00610.x/abstract 10.1111/j.1600-0846.2011.00610.x |
| spellingShingle | Nugroho, Hermawan Mohd Hani, Ahmad Fadzil Shamsudin, Norashikin Hussein, Suraiya Hani Computerised image analysis of vitiligo lesion: evaluation using manually defined lesion areas |
| title | Computerised image analysis of vitiligo lesion: evaluation using manually defined lesion areas |
| title_full | Computerised image analysis of vitiligo lesion: evaluation using manually defined lesion areas |
| title_fullStr | Computerised image analysis of vitiligo lesion: evaluation using manually defined lesion areas |
| title_full_unstemmed | Computerised image analysis of vitiligo lesion: evaluation using manually defined lesion areas |
| title_short | Computerised image analysis of vitiligo lesion: evaluation using manually defined lesion areas |
| title_sort | computerised image analysis of vitiligo lesion: evaluation using manually defined lesion areas |
| url | http://psasir.upm.edu.my/id/eprint/29550/ http://psasir.upm.edu.my/id/eprint/29550/ http://psasir.upm.edu.my/id/eprint/29550/ http://psasir.upm.edu.my/id/eprint/29550/1/Computerised%20image%20analysis%20of%20vitiligo%20lesion%20evaluation%20using%20manually%20defined%20lesion%20areas.pdf |