Literature DB >> 12173754

A noncontact wound measurement system.

Thomas A Krouskop1, Robert Baker, Michael S Wilson.   

Abstract

The instrument described in this manuscript was developed to perform objective, quantitative measurements of wound healing, which will enable service providers to assess, improve, and individualize the treatment given to each wound patient. It was designed to produce measures that will enable the care provider to assess the current state of the wound as well as gain insight into the time course of the wound healing by comparing the series of wound data collected over time. The record provided by the instrument could also assist in legal defense; a need that, unfortunately, cannot be ignored. The system uses a structured lighting pattern captured on a digital photograph of a wound to calculate the area and volume of debrided wounds. We used plaster molds with spherical indentations to represent various wounds to evaluate the precision of the system. Results indicate that when at least 144 of the data points in the picture lie within the wound borders, the surface area and wound volume are repeatable and the precision is within +/-3% of the calculated values based on the geometry of the spherical indentation.

Entities:  

Mesh:

Year:  2002        PMID: 12173754

Source DB:  PubMed          Journal:  J Rehabil Res Dev        ISSN: 0748-7711


  7 in total

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2.  Validation of a laser-assisted wound measurement device for measuring wound volume.

Authors:  Kathryn E Davis; Fadi C Constantine; Elaine C Macaslan; Jessica D Bills; Debby L Noble; Lawrence A Lavery
Journal:  J Diabetes Sci Technol       Date:  2013-09-01

3.  Spectral Clustering for Unsupervised Segmentation of Lower Extremity Wound Beds Using Optical Images.

Authors:  Dhiraj Manohar Dhane; Vishal Krishna; Arun Achar; Chittaranjan Bar; Kunal Sanyal; Chandan Chakraborty
Journal:  J Med Syst       Date:  2016-08-13       Impact factor: 4.460

4.  Towards algorithm-enabled home wound monitoring with smartphone photography: A hue-saturation-value colour space thresholding technique for wound content tracking.

Authors:  Runjie B Shi; Jimmy Qiu; Vincent Maida
Journal:  Int Wound J       Date:  2018-10-31       Impact factor: 3.315

5.  Wound Size Imaging: Ready for Smart Assessment and Monitoring.

Authors:  Yves Lucas; Rania Niri; Sylvie Treuillet; Hassan Douzi; Benjamin Castaneda
Journal:  Adv Wound Care (New Rochelle)       Date:  2020-09-25       Impact factor: 4.730

6.  Hands-free image capture, data tagging and transfer using Google Glass: a pilot study for improved wound care management.

Authors:  Gabriel Aldaz; Lauren Aquino Shluzas; David Pickham; Ozgur Eris; Joel Sadler; Shantanu Joshi; Larry Leifer
Journal:  PLoS One       Date:  2015-04-22       Impact factor: 3.240

7.  Modelling of oedemous limbs and venous ulcers using partial differential equations.

Authors:  Hassan Ugail; Michael J Wilson
Journal:  Theor Biol Med Model       Date:  2005-08-03       Impact factor: 2.432

  7 in total

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