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

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.