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...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
2007
|
| Subjects: | |
| Online Access: | http://scholars.utp.edu.my/id/eprint/469/ http://scholars.utp.edu.my/id/eprint/469/1/paper.pdf |
| _version_ | 1848658994974949376 |
|---|---|
| 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 |
| building | UTP Institutional Repository |
| collection | Online Access |
| 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.
|
| first_indexed | 2025-11-13T07:23:23Z |
| format | Article |
| id | oai:scholars.utp.edu.my:469 |
| institution | Universiti Teknologi Petronas |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-13T07:23:23Z |
| publishDate | 2007 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:scholars.utp.edu.my:4692017-01-19T08:27:01Z http://scholars.utp.edu.my/id/eprint/469/ 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 en http://scholars.utp.edu.my/id/eprint/469/1/paper.pdf 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://www.scopus.com/inward/record.url?eid=2-s2.0-41149089323&partnerID=40&md5=ccc1d32c03ea762dafb60136bda2b05d |
| 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. |
| title | 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_short | Area assessment of psoriasis lesion for PASI scoring.
|
| title_sort | area assessment of psoriasis lesion for pasi scoring. |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://scholars.utp.edu.my/id/eprint/469/ http://scholars.utp.edu.my/id/eprint/469/ http://scholars.utp.edu.my/id/eprint/469/1/paper.pdf |