Objective assessment of psoriasis lesion thickness for PASI scoring 3D digital imaging
Psoriasis is a chronic inflammatory skin condition which affects 2-3% of population around the world. Psoriasis Area and Severity Index (PASI) is a gold standard to assess psoriasis severity as well as the treatment efficacy. Although a gold standard, PASI is rarely used because it is tedious and co...
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| Format: | Citation Index Journal |
| Published: |
World Academy of Science, Engineering and Technology
2010
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| Online Access: | http://scholars.utp.edu.my/id/eprint/3183/ |
| _version_ | 1848659363662659584 |
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| author | Hurriyatul , Fitriyah Ahmad Fadzil, M Hani |
| author_facet | Hurriyatul , Fitriyah Ahmad Fadzil, M Hani |
| author_sort | Hurriyatul , Fitriyah |
| building | UTP Institutional Repository |
| collection | Online Access |
| description | Psoriasis is a chronic inflammatory skin condition which affects 2-3% of population around the world. Psoriasis Area and Severity Index (PASI) is a gold standard to assess psoriasis severity as well as the treatment efficacy. Although a gold standard, PASI is rarely used because it is tedious and complex. In practice, PASI score is determined subjectively by dermatologists, therefore inter and intra variations of assessment are possible to happen even among expert dermatologists. This research develops an algorithm to assess psoriasis lesion for PASI scoring objectively. Focus of this research is thickness assessment as one of PASI four parameters beside area, erythema and scaliness. Psoriasis lesion thickness is measured by averaging the total elevation from lesion base to lesion surface. Thickness values of 122 3D images taken from 39 patients are grouped into 4 PASI thickness score using K-means clustering. Validation on lesion base construction is performed using twelve body curvature models and show good result with coefficient of determinant (R2) is equal to 1. |
| first_indexed | 2025-11-13T07:29:14Z |
| format | Citation Index Journal |
| id | oai:scholars.utp.edu.my:3183 |
| institution | Universiti Teknologi Petronas |
| institution_category | Local University |
| last_indexed | 2025-11-13T07:29:14Z |
| publishDate | 2010 |
| publisher | World Academy of Science, Engineering and Technology |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:scholars.utp.edu.my:31832014-04-01T03:06:37Z http://scholars.utp.edu.my/id/eprint/3183/ Objective assessment of psoriasis lesion thickness for PASI scoring 3D digital imaging Hurriyatul , Fitriyah Ahmad Fadzil, M Hani QA75 Electronic computers. Computer science RL Dermatology Psoriasis is a chronic inflammatory skin condition which affects 2-3% of population around the world. Psoriasis Area and Severity Index (PASI) is a gold standard to assess psoriasis severity as well as the treatment efficacy. Although a gold standard, PASI is rarely used because it is tedious and complex. In practice, PASI score is determined subjectively by dermatologists, therefore inter and intra variations of assessment are possible to happen even among expert dermatologists. This research develops an algorithm to assess psoriasis lesion for PASI scoring objectively. Focus of this research is thickness assessment as one of PASI four parameters beside area, erythema and scaliness. Psoriasis lesion thickness is measured by averaging the total elevation from lesion base to lesion surface. Thickness values of 122 3D images taken from 39 patients are grouped into 4 PASI thickness score using K-means clustering. Validation on lesion base construction is performed using twelve body curvature models and show good result with coefficient of determinant (R2) is equal to 1. World Academy of Science, Engineering and Technology 2010-03 Citation Index Journal PeerReviewed Hurriyatul , Fitriyah and Ahmad Fadzil, M Hani (2010) Objective assessment of psoriasis lesion thickness for PASI scoring 3D digital imaging. [Citation Index Journal] |
| spellingShingle | QA75 Electronic computers. Computer science RL Dermatology Hurriyatul , Fitriyah Ahmad Fadzil, M Hani Objective assessment of psoriasis lesion thickness for PASI scoring 3D digital imaging |
| title | Objective assessment of psoriasis lesion thickness for PASI scoring 3D digital imaging |
| title_full | Objective assessment of psoriasis lesion thickness for PASI scoring 3D digital imaging |
| title_fullStr | Objective assessment of psoriasis lesion thickness for PASI scoring 3D digital imaging |
| title_full_unstemmed | Objective assessment of psoriasis lesion thickness for PASI scoring 3D digital imaging |
| title_short | Objective assessment of psoriasis lesion thickness for PASI scoring 3D digital imaging |
| title_sort | objective assessment of psoriasis lesion thickness for pasi scoring 3d digital imaging |
| topic | QA75 Electronic computers. Computer science RL Dermatology |
| url | http://scholars.utp.edu.my/id/eprint/3183/ |