249 0

Digital image processing for the acquisition of graphic similarity of the distributional patterns between cutaneous lesions of linear scleroderma and Blaschko's lines

Title
Digital image processing for the acquisition of graphic similarity of the distributional patterns between cutaneous lesions of linear scleroderma and Blaschko's lines
Author
고주연
Keywords
Blaschko's lines; cutaneous; image processing; linear; sclerosis
Issue Date
2011-08
Publisher
Elsevier B.V
Citation
Journal of Dermatology, 2011, 38(8), P.778-783
Abstract
The aim of this study is to objectively evaluate whether linear scleroderma (LS) follows Blaschko’s lines (BL) in Korean patients using digital image processing. Thirty-two patients with LS were examined. According to the patients’ clinical photographs, their skin lesions were plotted on the head and body charts. With the aid of graphics software, a digital image was produced that included an overlay of all the individual lesions and was used to compare the graphics with the published BL. To investigate the image similarity between the graphic patterns of the LS and BL, each case was analyzed by means of Hough transformations and Czekanowski’s methods. The comparative investigation of the graphic similarity of distributional patterns between the LS and BL showed that Czekanowski’s similarity index was 0.947 on average. In conclusion, our objective results suggest that the graphic patterns of the distribution of the LS skin lesions showed a high degree of similarity and in fact were almost identical to that of BL which may be the lines of embryonic development of the skin. This finding may suggest that some developmental factors during the embryological age could constitute the cause of LS.
URI
https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1346-8138.2010.01162.xhttp://hdl.handle.net/20.500.11754/66876
ISSN
0385-2407; 1346-8138
DOI
10.1111/j.1346-8138.2010.01162.x
Appears in Collections:
COLLEGE OF MEDICINE[S](의과대학) > MEDICINE(의학과) > Articles
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE