• DocumentCode
    1838697
  • Title

    Determination of Skin Repigmentation Progression

  • Author

    Nugroho, H. ; Fadzil, M.H.A. ; Yap, V.V. ; Norashikin, S. ; Suraiya, H.H.

  • Author_Institution
    Univ. Teknol. PETRONAS, Tronoh
  • fYear
    2007
  • fDate
    22-26 Aug. 2007
  • Firstpage
    3442
  • Lastpage
    3445
  • Abstract
    In this paper, we describe an image processing scheme to analyze and determine areas of skin that have undergone repigmentation in particular, during the treatment of vitiligo. In vitiligo cases, areas of skin become pale or white due to the lack of skin pigment called melanin. Vitiligo treatment causes skin repigmentation resulting in a normal skin color. However, it is difficult to determine and quantify the amount of repigmentation visually during treatment because the repigmentation progress is slow and moreover changes in skin color can only be discerned over a longer time frame typically 6 months. Here, we develop a digital image analysis scheme that can identify and determine vitiligo skin areas and repigmentation progression on a shorter time period. The technique is based on principal component analysis and independent component analysis which converts the RGB skin image into a skin image that represent skin areas due to melanin and haemoglobin only, followed by segmentation process. Vitiligo skin lesions are identified as skin areas that lack melanin (non-melanin areas). In the initial studies of 4 patients, the method has been able to quantify repigmentation in vitiligo lesion. Hence it is now possible to determine repigmentation progression objectively and treatment efficacy on a shorter time cycle.
  • Keywords
    biomedical optical imaging; independent component analysis; medical image processing; patient monitoring; patient treatment; pigments; principal component analysis; skin; RGB skin image; digital image analysis; haemoglobin; image processing; independent component analysis; melanin; principal component analysis; skin repigmentation progression; vitiligo lesion; vitiligo treatment; Digital images; Image analysis; Image converters; Image processing; Image segmentation; Independent component analysis; Lesions; Pigmentation; Principal component analysis; Skin; Algorithms; Colorimetry; Dermoscopy; Disease Progression; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Information Storage and Retrieval; Prognosis; Reproducibility of Results; Sensitivity and Specificity; Skin Pigmentation; Treatment Outcome; Vitiligo;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
  • Conference_Location
    Lyon
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-0787-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2007.4353071
  • Filename
    4353071