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Area assessment of psoriasis lesion for PASI scoring.

Psoriasis is a skin disorder which is caused by genetic fault. There is no cure for psoriasis, however, there are many treatment modalities to help control the disease. To evaluate treatment efficacy, PASI (Psoriasis Area and Severity Index) which is the current gold standard method is used to measu...

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Main Authors: D., Ihtatho, M.H. A., Fadzil, A.M., Affandi, S.H., Hussein
Format: Article
Published: 2007
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utp.edu.my/469/1/paper.pdf
http://www.scopus.com/inward/record.url?eid=2-s2.0-41149089323&partnerID=40&md5=ccc1d32c03ea762dafb60136bda2b05d
http://eprints.utp.edu.my/469/
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spelling my.utp.eprints.4692017-01-19T08:27:01Z Area assessment of psoriasis lesion for PASI scoring. D., Ihtatho M.H. A., Fadzil A.M., Affandi S.H., Hussein TK Electrical engineering. Electronics Nuclear engineering Psoriasis is a skin disorder which is caused by genetic fault. There is no cure for psoriasis, however, there are many treatment modalities to help control the disease. To evaluate treatment efficacy, PASI (Psoriasis Area and Severity Index) which is the current gold standard method is used to measure psoriasis severity by evaluating the area, erythema, scaliness and thickness of the plaques. However, the calculation of PASI can be tedious and subjective. In this work, we develop a computer vision method that determines one of the PASI parameter, the lesion area. The method isolates healthy (or healed) skin areas from lesion areas by analyzing the hue and chroma information in the CIE L*a*b* colour space. Centroids of healthy skin and psoriasis in the hue-chroma space are determined from selected sample. Euclidean distance of all pixels from each centroid is calculated. Each pixel is assigned to the class with minimum Euclidean distance. The study involves patients from three different ethnic origins having different skin tones. Results obtained show that the proposed method is comparable to the dermatologist visual approach. 2007 Article NonPeerReviewed application/pdf http://eprints.utp.edu.my/469/1/paper.pdf http://www.scopus.com/inward/record.url?eid=2-s2.0-41149089323&partnerID=40&md5=ccc1d32c03ea762dafb60136bda2b05d D., Ihtatho and M.H. A., Fadzil and A.M., Affandi and S.H., Hussein (2007) Area assessment of psoriasis lesion for PASI scoring. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, 2007 . pp. 3446-3449. ISSN 1557170X http://eprints.utp.edu.my/469/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
D., Ihtatho
M.H. A., Fadzil
A.M., Affandi
S.H., Hussein
Area assessment of psoriasis lesion for PASI scoring.
description Psoriasis is a skin disorder which is caused by genetic fault. There is no cure for psoriasis, however, there are many treatment modalities to help control the disease. To evaluate treatment efficacy, PASI (Psoriasis Area and Severity Index) which is the current gold standard method is used to measure psoriasis severity by evaluating the area, erythema, scaliness and thickness of the plaques. However, the calculation of PASI can be tedious and subjective. In this work, we develop a computer vision method that determines one of the PASI parameter, the lesion area. The method isolates healthy (or healed) skin areas from lesion areas by analyzing the hue and chroma information in the CIE L*a*b* colour space. Centroids of healthy skin and psoriasis in the hue-chroma space are determined from selected sample. Euclidean distance of all pixels from each centroid is calculated. Each pixel is assigned to the class with minimum Euclidean distance. The study involves patients from three different ethnic origins having different skin tones. Results obtained show that the proposed method is comparable to the dermatologist visual approach.
format Article
author D., Ihtatho
M.H. A., Fadzil
A.M., Affandi
S.H., Hussein
author_facet D., Ihtatho
M.H. A., Fadzil
A.M., Affandi
S.H., Hussein
author_sort D., Ihtatho
title Area assessment of psoriasis lesion for PASI scoring.
title_short Area assessment of psoriasis lesion for PASI scoring.
title_full Area assessment of psoriasis lesion for PASI scoring.
title_fullStr Area assessment of psoriasis lesion for PASI scoring.
title_full_unstemmed Area assessment of psoriasis lesion for PASI scoring.
title_sort area assessment of psoriasis lesion for pasi scoring.
publishDate 2007
url http://eprints.utp.edu.my/469/1/paper.pdf
http://www.scopus.com/inward/record.url?eid=2-s2.0-41149089323&partnerID=40&md5=ccc1d32c03ea762dafb60136bda2b05d
http://eprints.utp.edu.my/469/
_version_ 1738655069387096064
score 13.211869

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