title: Scar tissue classification using nonlinear optical microscopy and discriminant analysis.
abstract: This paper addresses the scar tissue maturation process that occurs stepwise, and calls for reliable classification. The structure of collagen imaged by nonlinear optical microscopy (NLOM) in post-burn hypertrophic and mature scar, as well as in normal skin, appeared to distinguish these maturation steps. However, it was a discrimination analysis, demonstrated here, that automated and quantified the scar tissue maturation process. The achieved scar classification accuracy was as high as 96%. The combination of NLOM and discrimination analysis is believed to be instrumental in gaining insight into the scar formation, for express diagnosis of scar and surgery planning.
authors: MQ Biofocus Research Centre, Macquarie University, Sydney, NSW 2109, Australia.
authors: Timothy Andrew
authors: TA
authors: Kelf
authors: Martin
authors: M
authors: Gosnell
authors: Bjornar
authors: B
authors: Sandnes
authors: Anna E
authors: AE
authors: Guller
authors: Anatoly B
authors: AB
authors: Shekhter
authors: Andrei V
authors: AV
authors: Zvyagin
mesh_terms: D000293:Adolescent; D001331:Automation; D001706:Biopsy / Q000379:methods; D002056:Burns / Q000473:pathology; D002648:Child; D002675:Child, Preschool; D002921:Cicatrix / Q000473:pathology*; D017439:Cicatrix, Hypertrophic / Q000473:pathology; D003094:Collagen / Q000737:chemistry; D005260:Female; D006801:Humans; D006984:Hypertrophy / Q000473:pathology; D008297:Male; D008853:Microscopy / Q000379:methods*; D055095:Optics and Photonics; D015203:Reproducibility of Results; D012867:Skin / Q000473:pathology
chemical_list: D003094:Collagen