Fully automated algorithm for wound surface area assessment

Wound Repair Regen. 2013 Sep-Oct;21(5):755-61. doi: 10.1111/wrr.12085. Epub 2013 Aug 12.

Abstract

Worldwide, clinicians, dentists, nurses, researchers, and other health professionals need to monitor the wound healing progress and to quantify the rate of wound closure. The aim of this study is to demonstrate, step by step, a fully automated numerical method to estimate the size of the wound and the percentage damaged relative to the body surface area (BSA) in images, without the requirement for human intervention. We included the formula for BSA in rats in the algorithm. The methodology was validated in experimental wounds and human ulcers and was compared with the analysis of an experienced pathologist, with good agreement. Therefore, this algorithm is suitable for experimental wounds and burns and human ulcers, as they have a high contrast with adjacent normal skin.

Publication types

  • Research Support, Non-U.S. Gov't
  • Validation Study

MeSH terms

  • Algorithms
  • Animals
  • Body Surface Area*
  • Burns / pathology
  • Color*
  • Disease Models, Animal
  • Male
  • Photography
  • Rats
  • Rats, Wistar
  • Time Factors
  • Ulcer / pathology
  • Wound Healing*
  • Wounds and Injuries / pathology*
  • Wounds and Injuries / physiopathology