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
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;
Conference_Titel :
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location :
Lyon
Print_ISBN :
978-1-4244-0787-3
DOI :
10.1109/IEMBS.2007.4353071