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Related Experiment Video

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Generation of a Three-dimensional Full Thickness Skin Equivalent and Automated Wounding

Generation of a Three-dimensional Full Thickness Skin Equivalent and Automated Wounding

Published on: February 26, 2015

Automatic Robot-Driven 3D Reconstruction System for Chronic Wounds.

Damir Filko¹, Domagoj Marijanović¹, Emmanuel Karlo Nyarko¹

¹Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Josip Juraj Strossmayer University of Osijek, HR-31000 Osijek, Croatia.

Sensors (Basel, Switzerland)

|December 28, 2021

Summary

This study introduces an automated system for chronic wound assessment using a robot arm and 3D scanner. The novel approach enhances wound healing by providing fast, accurate, non-contact analysis.

Keywords:

3D reconstruction automatic chronic wounds next best view robot

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Area of Science:

Biomedical Engineering
Medical Imaging
Robotics

Background:

Chronic wounds pose a significant global health and economic burden, exacerbated by aging populations and rising rates of obesity and diabetes.
Accurate and timely wound assessment is crucial for effective treatment and complication reduction.
Traditional contact-based wound assessment methods have limitations that non-contact, automated approaches can overcome.

Purpose of the Study:

To develop and evaluate an automated wound recording system for fast and accurate chronic wound assessment.
To introduce a novel non-boundary-aware (NBV) algorithm for surface-based wound analysis.

Main Methods:

A 7 Degrees of Freedom (DoF) robot arm equipped with an RGB-D camera and a high-precision 3D scanner was utilized.
A novel NBV algorithm employing a surface-based approach, focusing on point density and discontinuity detection, was developed.
The system was tested on various wounds from medical models and real patients in a clinical setting.

Main Results:

The developed system successfully recorded and analyzed multiple chronic wounds.
The novel NBV algorithm demonstrated effectiveness in utilizing surface data for wound characterization.
Evaluation on medical models and clinical patients confirmed the system's applicability.

Conclusions:

The automated wound recording system offers a promising non-contact solution for chronic wound assessment.
The novel NBV algorithm contributes to improved accuracy and efficiency in wound analysis.
This technology has the potential to enhance patient outcomes and reduce healthcare costs associated with chronic wound management.