TY  - JOUR
SN  - 2010376X
Y1  - 2010///
EP  - 115
VL  - 63
JF  - World Academy of Science, Engineering and Technology
A1  - Ahmad Fadzil, M.H.
A1  - Fitriyah, H.
A1  - Prakasa, E.
A1  - Nugroho, H.
A1  - Hussein, S.H.
A1  - Affandi, A.M.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-78651523506&partnerID=40&md5=a0a8b0b2f657c26e109a873f9c9cec92
AV  - none
TI  - Objective assessment of psoriasis lesion thickness for PASI scoring using 3D digital imaging
ID  - scholars1287
SP  - 109
KW  - 3-D image; 3D digital imaging; Chronic inflammatory; Gold standards; K-means clustering; Lesion thickness; Objective assessment; Severity index; Skin conditions; Thickness value
KW  -  Bubbles (in fluids); Dermatology; Gold compounds; Three dimensional
KW  -  Skin
N2  - 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 (R 2) is equal to 1.
N1  - cited By 5
ER  -