Surface analysis of psoriasis for PASI scaliness assessment
Psoriasis is a skin disorder which typically consists of red plaques covered by silvery-white scales. The extent of the psoriasis lesion has to be assessed in determining treatment efficacy. PASI (Psoriasis Area and Severity Index) is gold standard for assessing the extent of psoriasis lesion. Scali...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2007
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| Subjects: | |
| Online Access: | http://scholars.utp.edu.my/id/eprint/474/ http://scholars.utp.edu.my/id/eprint/474/1/paper.pdf |
| _version_ | 1848658996672593920 |
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| author | M.H.A., Fadzil H., Nugroho Batool, Nazr-e- P.A., Venkatachalam |
| author_facet | M.H.A., Fadzil H., Nugroho Batool, Nazr-e- P.A., Venkatachalam |
| author_sort | M.H.A., Fadzil |
| building | UTP Institutional Repository |
| collection | Online Access |
| description | Psoriasis is a skin disorder which typically consists of red plaques covered by silvery-white scales. The extent of the psoriasis lesion has to be assessed in determining treatment efficacy. PASI (Psoriasis Area and Severity Index) is gold standard for assessing the extent of psoriasis lesion. Scaliness is one of the parameters of PASI scoring. However, determining this parameter is found to be subjective as there are inter and intra observer variations. In this work, we develop an image processing method for PASI scaliness scoring. The method converts the depth information of the 3D lesion images (surfaces) into 2D grayscale images. Gray Level Co-occurrence Matrix (GLCM) is used to analyze the 2D images. From 14 patients with scaliness scores 1, 2 and 3, results show that the method has the potential to determine PASI scaliness score. ©2007 IEEE.
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| first_indexed | 2025-11-13T07:23:24Z |
| format | Conference or Workshop Item |
| id | oai:scholars.utp.edu.my:474 |
| institution | Universiti Teknologi Petronas |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-13T07:23:24Z |
| publishDate | 2007 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:scholars.utp.edu.my:4742017-01-19T08:27:07Z http://scholars.utp.edu.my/id/eprint/474/ Surface analysis of psoriasis for PASI scaliness assessment M.H.A., Fadzil H., Nugroho Batool, Nazr-e- P.A., Venkatachalam TK Electrical engineering. Electronics Nuclear engineering Psoriasis is a skin disorder which typically consists of red plaques covered by silvery-white scales. The extent of the psoriasis lesion has to be assessed in determining treatment efficacy. PASI (Psoriasis Area and Severity Index) is gold standard for assessing the extent of psoriasis lesion. Scaliness is one of the parameters of PASI scoring. However, determining this parameter is found to be subjective as there are inter and intra observer variations. In this work, we develop an image processing method for PASI scaliness scoring. The method converts the depth information of the 3D lesion images (surfaces) into 2D grayscale images. Gray Level Co-occurrence Matrix (GLCM) is used to analyze the 2D images. From 14 patients with scaliness scores 1, 2 and 3, results show that the method has the potential to determine PASI scaliness score. ©2007 IEEE. 2007 Conference or Workshop Item NonPeerReviewed application/pdf en http://scholars.utp.edu.my/id/eprint/474/1/paper.pdf M.H.A., Fadzil and H., Nugroho and Batool, Nazr-e- and P.A., Venkatachalam (2007) Surface analysis of psoriasis for PASI scaliness assessment. In: 2007 International Conference on Intelligent and Advanced Systems, ICIAS 2007, 25 November 2007 through 28 November 2007, Kuala Lumpur. http://www.scopus.com/inward/record.url?eid=2-s2.0-57949087253&partnerID=40&md5=022118d4abb6a1e14c48c71668f6f06a |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering M.H.A., Fadzil H., Nugroho Batool, Nazr-e- P.A., Venkatachalam Surface analysis of psoriasis for PASI scaliness assessment |
| title | Surface analysis of psoriasis for PASI scaliness assessment
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| title_full | Surface analysis of psoriasis for PASI scaliness assessment
|
| title_fullStr | Surface analysis of psoriasis for PASI scaliness assessment
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| title_full_unstemmed | Surface analysis of psoriasis for PASI scaliness assessment
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| title_short | Surface analysis of psoriasis for PASI scaliness assessment
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| title_sort | surface analysis of psoriasis for pasi scaliness assessment |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://scholars.utp.edu.my/id/eprint/474/ http://scholars.utp.edu.my/id/eprint/474/ http://scholars.utp.edu.my/id/eprint/474/1/paper.pdf |