{"title":"Objective Assessment of Psoriasis Lesion Thickness for PASI Scoring using 3D Digital Imaging","authors":"M.H. Ahmad Fadzil, Hurriyatul Fitriyah, Esa Prakasa, Hermawan Nugroho, S.H. Hussein, Azura Mohd. Affandi","volume":39,"journal":"International Journal of Biomedical and Biological Engineering","pagesStart":75,"pagesEnd":82,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/15041","abstract":"Psoriasis is a chronic inflammatory skin condition\r\nwhich affects 2-3% of population around the world. Psoriasis Area\r\nand Severity Index (PASI) is a gold standard to assess psoriasis\r\nseverity as well as the treatment efficacy. Although a gold standard,\r\nPASI is rarely used because it is tedious and complex. In practice,\r\nPASI score is determined subjectively by dermatologists, therefore\r\ninter and intra variations of assessment are possible to happen even\r\namong expert dermatologists. This research develops an algorithm to\r\nassess psoriasis lesion for PASI scoring objectively. Focus of this\r\nresearch is thickness assessment as one of PASI four parameters\r\nbeside area, erythema and scaliness. Psoriasis lesion thickness is\r\nmeasured by averaging the total elevation from lesion base to lesion\r\nsurface. Thickness values of 122 3D images taken from 39 patients\r\nare grouped into 4 PASI thickness score using K-means clustering.\r\nValidation on lesion base construction is performed using twelve\r\nbody curvature models and show good result with coefficient of\r\ndeterminant (R2) is equal to 1.","references":"[1] Peter van de Kerkhof, Textbook of Psoriasis, 2003, Blackwell\r\nPublishing: Massachussetts\r\n[2] The Psoriasis Association, What is Psoriasis?, 2008, The Psoriasis\r\nAssociation: UK\r\n[3] Lionel Fry, An Atlas of Psoriasis, 2005, Taylor&Francis: London\r\n[4] T. Frederiksson, U. Pettersson, Severe Psoriasis: Oral Therapy with a\r\nNew Retinoid, Dermatologica, 1978, 157(4), pp: 238-44\r\n[5] M. Alper, A. Kavak, A.H. Parlak, R. Demirici, I. Belenli, N. Yesildal,\r\nMeasurement of Epidermal Thickness in a Patient with Psoriasis by\r\nComputer Supported Image Analyisis, Brazilian Journal of Medical\r\nand Biological Research, 2004, 37, pp: 111-117.\r\n[6] Harold Alexander, D.L. Miller, Determining Skin Thickness with\r\nPulsed Ultra Sound. The Journal of Investigative Dermatology, Vol 72,\r\npp: 17-19. 1979.\r\n[7] Serup, J.: Non-invasive quantification of psoriasis plaques-\r\nmeasurement of skin thickness with 15 MHz pulsed ultrasound. Journal\r\nof Clinical and Experimental Dermatology, Volume 9 Issue 5, 502 --\r\n508 (2006)\r\n[8] Konica Minolta Vivid 910 Non Contact 3D Digitizer Manual\r\nHandbook, Japan (2001)\r\n[9] Bryan F. Jones, Peter Plassman, An Instrument to Measure the\r\nDimension of Skin Wounds, IEEE Trancastion on Biomedical\r\nEngineering, Vol. 42, No.5 1995, pp: 464 - 470\r\n[10] Zhilin Li, Qing Zhu, Christopher Gold, Digital Terrain Modeling:\r\nPrinciple and Methodology,2005, CRC Press: Florida\r\n[11] J. P. Luntama, S. Koponen, M. Hallikainen, Analysis of Sea Ice\r\nThickness and Mass Estimation with a Spaceborne Laser Altimerer,\r\nGeosciense and Remote Sensing, 1997, Volume 3. pp: 1314-1316\r\n[12] Frederic Gibou and Ronald Fedkiw. \"A fast hybrid k-means level set\r\nalgorithm for segmentation\". In 4th Annual Hawaii International\r\nConference on Statistics and Mathematics, pages 281-291, 2005.\r\n[13] R. Herwig, A.J. Poustka, C. Muller, C. Bull, H. Lehrach, and J O-Brien.\r\nLarge-scale clustering of cdna-fingerprinting data. Genome Research,\r\n9:1093-1105, 1999.\r\n[14] Paul J. Besl, Ramesh C. Jain, Three-Dimensional Object Recognition,\r\nAnnals of Discrete Mathematics-ACM, Vol. 17, 1985, pp: 75-145","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 39, 2010"}