title: Skin lesions segmentation and quantification from 3D body's models.
abstract: OBJECTIVE
  Characterising large areas of the body has always been problematic. The aim of this article is to test a method to evaluate the developed surface areas of dermatological lesions from a 3D textured model of the body's envelope.
  
  
  METHODS
  We applied the active contour method to isolate the lesions. Then, by means of the 3D model obtained, we calculated the area. This was tested on standards of known areas.
  
  
  RESULTS
  For the standards, the standard deviation between the calculated and theoretical surfaces was under 3%.
  
  
  CONCLUSIONS
  The results obtained indicate the feasibility of the method for studying the efficiency of dermatological treatment.
authors.affiliation: Cerper, Centre Jean-Louis Alibert, Institut de Recherche Pierre Fabre, Hotel Dieu Saint-Jacques, Toulouse, France.
authors.forename: G
authors.initials: G
authors.lastname: Guillard
authors.forename: Jm
authors.initials: J
authors.lastname: Lagarde
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D007834:Lasers; D008954:Models, Biological; D010363:Pattern Recognition, Automated / Q000379:methods*; D019047:Phantoms, Imaging; D010781:Photography / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012720:Severity of Illness Index; D012871:Skin Diseases / Q000473:pathology*