3D surface roughness measurement for scaliness scoring of psoriasis lesions

Psoriasis is an incurable skin disorder affecting 2-3 of the world population. The scaliness of psoriasis is a key assessment parameter of the Psoriasis Area and Severity Index (PASI). Dermatologists typically use visual and tactile senses in PASI scaliness assessment. However, the assessment can be...

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Main Authors: Ahmad Fadzil, M.H., Prakasa, E., Asirvadam, V.S., Nugroho, H., Affandi, A.M., Hussein, S.H.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.32651 /
Published: 2013
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84887178188&doi=10.1016%2fj.compbiomed.2013.08.009&partnerID=40&md5=8f265f294c5693bfb42804ebd6c5e163
http://eprints.utp.edu.my/32651/
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spelling utp-eprints.326512022-03-29T14:08:33Z 3D surface roughness measurement for scaliness scoring of psoriasis lesions Ahmad Fadzil, M.H. Prakasa, E. Asirvadam, V.S. Nugroho, H. Affandi, A.M. Hussein, S.H. Psoriasis is an incurable skin disorder affecting 2-3 of the world population. The scaliness of psoriasis is a key assessment parameter of the Psoriasis Area and Severity Index (PASI). Dermatologists typically use visual and tactile senses in PASI scaliness assessment. However, the assessment can be subjective resulting in inter- and intra-rater variability in the scores. This paper proposes an assessment method that incorporates 3D surface roughness with standard clustering techniques to objectively determine the PASI scaliness score for psoriasis lesions. A surface roughness algorithm using structured light projection has been applied to 1999 3D psoriasis lesion surfaces. The algorithm has been validated with an accuracy of 94.12. Clustering algorithms were used to classify the surface roughness measured using the proposed assessment method for PASI scaliness scoring. The reliability of the developed PASI scaliness algorithm was high with kappa coefficients>0.84 (almost perfect agreement). © 2013 Elsevier Ltd. 2013 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84887178188&doi=10.1016%2fj.compbiomed.2013.08.009&partnerID=40&md5=8f265f294c5693bfb42804ebd6c5e163 Ahmad Fadzil, M.H. and Prakasa, E. and Asirvadam, V.S. and Nugroho, H. and Affandi, A.M. and Hussein, S.H. (2013) 3D surface roughness measurement for scaliness scoring of psoriasis lesions. Computers in Biology and Medicine, 43 (11). pp. 1987-2000. http://eprints.utp.edu.my/32651/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description Psoriasis is an incurable skin disorder affecting 2-3 of the world population. The scaliness of psoriasis is a key assessment parameter of the Psoriasis Area and Severity Index (PASI). Dermatologists typically use visual and tactile senses in PASI scaliness assessment. However, the assessment can be subjective resulting in inter- and intra-rater variability in the scores. This paper proposes an assessment method that incorporates 3D surface roughness with standard clustering techniques to objectively determine the PASI scaliness score for psoriasis lesions. A surface roughness algorithm using structured light projection has been applied to 1999 3D psoriasis lesion surfaces. The algorithm has been validated with an accuracy of 94.12. Clustering algorithms were used to classify the surface roughness measured using the proposed assessment method for PASI scaliness scoring. The reliability of the developed PASI scaliness algorithm was high with kappa coefficients>0.84 (almost perfect agreement). © 2013 Elsevier Ltd.
format Article
author Ahmad Fadzil, M.H.
Prakasa, E.
Asirvadam, V.S.
Nugroho, H.
Affandi, A.M.
Hussein, S.H.
spellingShingle Ahmad Fadzil, M.H.
Prakasa, E.
Asirvadam, V.S.
Nugroho, H.
Affandi, A.M.
Hussein, S.H.
3D surface roughness measurement for scaliness scoring of psoriasis lesions
author_sort Ahmad Fadzil, M.H.
title 3D surface roughness measurement for scaliness scoring of psoriasis lesions
title_short 3D surface roughness measurement for scaliness scoring of psoriasis lesions
title_full 3D surface roughness measurement for scaliness scoring of psoriasis lesions
title_fullStr 3D surface roughness measurement for scaliness scoring of psoriasis lesions
title_full_unstemmed 3D surface roughness measurement for scaliness scoring of psoriasis lesions
title_sort 3d surface roughness measurement for scaliness scoring of psoriasis lesions
publishDate 2013
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84887178188&doi=10.1016%2fj.compbiomed.2013.08.009&partnerID=40&md5=8f265f294c5693bfb42804ebd6c5e163
http://eprints.utp.edu.my/32651/
_version_ 1741197763676209152
score 11.62408

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