<?xml version="1.0" encoding="UTF-8"?> <article key="pdf/15041" mdate="2010-03-24 00:00:00"> <author>M.H. Ahmad Fadzil and Hurriyatul Fitriyah and Esa Prakasa and Hermawan Nugroho and S.H. Hussein and Azura Mohd. Affandi</author> <title>Objective Assessment of Psoriasis Lesion Thickness for PASI Scoring using 3D Digital Imaging</title> <pages>75 - 81</pages> <year>2010</year> <volume>4</volume> <number>3</number> <journal>International Journal of Biomedical and Biological Engineering</journal> <ee>https://publications.waset.org/pdf/15041</ee> <url>https://publications.waset.org/vol/39</url> <publisher>World Academy of Science, Engineering and Technology</publisher> <abstract>Psoriasis is a chronic inflammatory skin condition which affects 23 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 Kmeans 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.</abstract> <index>Open Science Index 39, 2010</index> </article>