Journal of Rehabilitation Research and Development, ( ISI ), Volume (47), No (2), Year (2010-12) , Pages (99-108)

Title : ( Quantitative assessment of pressure sore generation and healing through numerical analysis of high-frequency ultrasound images )

Authors: Sahar Moghimi , Mohammad Hossein Miran Baygi , Giti Torkaman , Ali Mahloojifar ,

Citation: BibTeX | EndNote

Abstract

This article focuses on the development of a method to quantitatively assess the healing process of artificially induced pressure sores using high-frequency (20 MHz) ultrasound images. We induced sores in guinea pigs and monitored predefined regions on days 3, 7, 14, and 21 after sore generation. We extracted relevant parameters regarding the tissue echographic structure and attenuation properties. We examined tissue healing by defining a healing function that used the extracted parameters. We verified the significance of the extracted features by using analysis of variance and multiple comparison tests. The features displayed ascending/descending behavior during wound generation and reverse behavior during healing. We optimized the parameters of our healing function by using a pattern search method. We tested the efficiency of the optimized values by calculating the healing function value on assessment days and then comparing these results with the expected pattern of changes in the tissue conditions after removing the applied pressure. The results of this study suggest that the methodology developed may be a viable tool for quantitative assessment of pressure sores during their early generation as well as during healing stages.

Keywords

, feature extraction, guinea pigs, healing function, high-frequency ultrasound, image processing, numerical analysis, pattern search method, pressure sores, sonographic assessment, wound healing.
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@article{paperid:1025399,
author = {Moghimi, Sahar and Mohammad Hossein Miran Baygi and Giti Torkaman and Ali Mahloojifar},
title = {Quantitative assessment of pressure sore generation and healing through numerical analysis of high-frequency ultrasound images},
journal = {Journal of Rehabilitation Research and Development},
year = {2010},
volume = {47},
number = {2},
month = {December},
issn = {0748-7711},
pages = {99--108},
numpages = {9},
keywords = {feature extraction; guinea pigs; healing function; high-frequency ultrasound; image processing; numerical analysis; pattern search method; pressure sores; sonographic assessment; wound healing.},
}

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%0 Journal Article
%T Quantitative assessment of pressure sore generation and healing through numerical analysis of high-frequency ultrasound images
%A Moghimi, Sahar
%A Mohammad Hossein Miran Baygi
%A Giti Torkaman
%A Ali Mahloojifar
%J Journal of Rehabilitation Research and Development
%@ 0748-7711
%D 2010

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