RESEARCH ARTICLE


An Integrated Hardware and Software Application to Support Wound Measurement Using a 3D Scanner and Image Processing Techniques



Kriangkrai Tassanavipas1, *, Suriya Natsupakpong1
1 Institute of Field Robotics, King Mongkut’s University of Technology Thonburi, Bangkok, Thailand


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Creative Commons License
© 2020 Tassanavipas & Natsupakpong.

open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

* Address correspondence to this author at Institute of Field Robotics, King Mongkut’s University of Technology Thonburi, Bangkok, Thailand; Tel: +66-81-344-4948; E-mail: kriangkrai.t@mail.kmutt.ac.th


Abstract

Aim:

To build wounds volume(3D) and area(2D) measuring system and device.

Background:

The measurement of the wound depth has been troublesome due to difficulty fo the procedures, physicians mostly avoid inspecting the wound depth as it could cause wound inflammation and infection.

Objective:

To build a contactless device for measuring wound volume and develop the system to support the wound treatment process which offers precise measurement and wound healing progression.

Methods:

Build a machine to control and stabilize 3D-scanner over the wound using a servo motor and apply the image processing technique to calculate the wound's area and volume. Comparing the machine accuracy by using Archimedes's principle testing with various wound model sizes, made from folding clay and pork rinds.

Results:

The device and system generate an error value of less than 15% which is within a satisfactory level.

Conclusion:

Knowing the wound depth is vital for the treatment, direct contact to the wound area can cause inflammation, infection, and increase time to heal. This device will help physicians to get more insight into the wound and improve the treatment plan for the patients.

There are certain limitations to be considered for future work. Firstly, different software components used in the image processing and estimation process could be integrated to enhance user experience. Secondly, it is possible to apply Machine Learning techniques to identify the wounded area on the wound image file.

Keywords: Archimedes’ principle, Image processing technique, Pixel reading, Wound measurement, 3D-scanner, Body surface area.