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Updated: May 8, 2026
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Generation of a Three-dimensional Full Thickness Skin Equivalent and Automated Wounding
Published on: February 26, 2015
Fully automated algorithm for wound surface area assessment
Alessandro Melo Deana1, Sérgio Henrique Costa de Jesus, Brunna Pileggi Azevedo Sampaio
1Postgraduate Program in Biophotonics Applied to Health Sciences, University Nove de Julho, São Paulo, São Paulo, Brazil.
Summary
A new automated method quantifies wound size and closure rates from images, aiding healthcare professionals in monitoring healing progress. This wound measurement tool is validated for experimental and clinical use.
Area of Science:
- Biomedical Engineering
- Medical Imaging
- Wound Care Technology
Background:
- Accurate wound assessment is crucial for effective patient management and research.
- Current methods for quantifying wound size and healing progress often require manual intervention and can be time-consuming.
- There is a need for objective, automated tools to monitor wound healing across various clinical and research settings.
Purpose of the Study:
- To present a fully automated numerical method for estimating wound size and percentage of body surface area (BSA) damage from digital images.
- To develop an algorithm incorporating the BSA formula for rats, enabling its application in preclinical research.
- To validate the automated method against expert pathological analysis in both experimental and human wound models.
Main Methods:
- Development of a step-by-step automated numerical algorithm for image-based wound size estimation.
- Integration of a rat-specific body surface area (BSA) formula into the algorithm.
- Validation of the algorithm using experimental wounds, burns, and human ulcers with high contrast against surrounding skin.
Main Results:
- The automated method accurately estimates wound size and percentage of body surface area (BSA) damage.
- Validation demonstrated good agreement between the automated analysis and an experienced pathologist's assessment.
- The algorithm proved suitable for diverse wound types, including experimental models and human ulcers.
Conclusions:
- The developed automated numerical method provides a reliable and efficient tool for quantifying wound healing.
- This technology can significantly aid clinicians, dentists, nurses, and researchers in monitoring wound closure rates.
- The algorithm's applicability extends to both experimental research and clinical practice for wound assessment.
