Fully automated algorithm for wound surface area assessment.

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 t...

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Detalles Bibliográficos
Publicado en:Wound Repair & Regeneration Vol. 21; no. 5; pp. 755 - 762
Autores principales: Deana, Alessandro Melo, Jesus, Sérgio Henrique Costa, Sampaio, Brunna Pileggi Azevedo, Oliveira, Marcelo Tavares, Silva, Daniela Fátima Teixeira, França, Cristiane Miranda
Formato: equations & formulas pictorial research tables/charts Journal Article
Publicado: Wiley-Blackwell Sep/Oct2013
Acceso en línea:Ver este registro en EBSCOhost
Descripción
Sumario: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.