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hal-00757039, version 1

Skin lesion evaluation from multispectral images

Sylvain Prigent () 12, Xavier Descombes 1, Didier Zugaj 3, Laurent Petit 3, Anne-Sophie Dugaret 3, Philippe Martel 3, Josiane Zerubia 2

N° RR-8136 (2012)

Résumé : During evaluation of skin disease treatments, dermatologists have to clinically measure the pathology severity of each patient during treatment periods. Such a process is sensitive to intra- and inter- dermatologist diagnosis. To make this severity measurement more robust we propose to use image processing to quantify the pathology severity. We focus on a hyperpigmentation disorder called melasma. During a treatment period, multispectral images are taken on patients receiving the same treatment. After co-registration and classification steps, we propose algorithms to measure the intensity, the size and the homogeneity evolution of the pathological area. Obtained results are compared with a dermatologist diagnosis using statistical tests on a full clinical study.

  • 1 :  MORPHEME (Inria Sophia Antipolis / Laboratoire I3S / IBV)
  • INRIA – CNRS : UMR7271 – Université Nice Sophia Antipolis (UNS) – INSERM : U1091
  • 2 :  AYIN (INRIA Sophia Antipolis)
  • INRIA
  • 3 :  GALDERMA R&D
  • GALDERMA R&D
  • Domaine : Sciences de l'ingénieur/Traitement du signal et de l'image
    Informatique/Traitement du signal et de l'image
  • Mots-clés : skin – hyperpigmentation – change detection – statistical inferences – multispectral imaging
  • Référence interne : RR-8136
 
  • hal-00757039, version 1
  • oai:hal.inria.fr:hal-00757039
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  • Soumis le : Lundi 26 Novembre 2012, 09:33:06
  • Dernière modification le : Mardi 8 Janvier 2013, 15:20:09