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Validity and reliability of velocity measurements on ultrasonography using custom software with an optical-flow algorithm

[Purpose] The purposes of this study were: 1) to validate a commercial software program using an optical-flow algorithm to measure the velocity of muscle movement; and 2) to determine optimal image quality and the size and location of regions of interest. [Materials and Methods] First, a block of po...

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Autores principales: Yamashita, Tomoko, Ozawa, Kohei, Gamada, Kazuyoshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Society of Physical Therapy Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7032980/
https://www.ncbi.nlm.nih.gov/pubmed/32158076
http://dx.doi.org/10.1589/jpts.32.130
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author Yamashita, Tomoko
Ozawa, Kohei
Gamada, Kazuyoshi
author_facet Yamashita, Tomoko
Ozawa, Kohei
Gamada, Kazuyoshi
author_sort Yamashita, Tomoko
collection PubMed
description [Purpose] The purposes of this study were: 1) to validate a commercial software program using an optical-flow algorithm to measure the velocity of muscle movement; and 2) to determine optimal image quality and the size and location of regions of interest. [Materials and Methods] First, a block of pork thigh muscle was pulled at 33 different constant velocities. Subsequently, an accelerometer, a high-velocity camera, and ultrasonography were used to obtain measurements, and an Echolizer software was used to determine ultrasound-based velocities. Finally, the impact of the location and size of the regions of interest and the brightness and contrast of the images was analyzed. [Results] The regression equation was expressed as y=1.150 × −0.071 with a determination coefficient of 0.996. The average absolute error of the software was 0.02 mm/s, and the average relative error was 0.20% of the actual velocity between 2.5 and 16.5 mm/s after the regression equation was applied to the measured data. The accuracy of measurement was reduced owing to the increased size of the regions of interest, which included poor image quality or a deeper zone. [Conclusion] Our method of measuring muscle velocity using a custom program showed high validity and reliability. It is necessary to use the regression equation in the program to improve accuracy. However, the validity of the method could be reduced if the regions of interest involve deep tissues or areas with poor visualization of the muscle bundles, or if the brightness and contrast of the image are set inaccurately.
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spelling pubmed-70329802020-03-10 Validity and reliability of velocity measurements on ultrasonography using custom software with an optical-flow algorithm Yamashita, Tomoko Ozawa, Kohei Gamada, Kazuyoshi J Phys Ther Sci Original Article [Purpose] The purposes of this study were: 1) to validate a commercial software program using an optical-flow algorithm to measure the velocity of muscle movement; and 2) to determine optimal image quality and the size and location of regions of interest. [Materials and Methods] First, a block of pork thigh muscle was pulled at 33 different constant velocities. Subsequently, an accelerometer, a high-velocity camera, and ultrasonography were used to obtain measurements, and an Echolizer software was used to determine ultrasound-based velocities. Finally, the impact of the location and size of the regions of interest and the brightness and contrast of the images was analyzed. [Results] The regression equation was expressed as y=1.150 × −0.071 with a determination coefficient of 0.996. The average absolute error of the software was 0.02 mm/s, and the average relative error was 0.20% of the actual velocity between 2.5 and 16.5 mm/s after the regression equation was applied to the measured data. The accuracy of measurement was reduced owing to the increased size of the regions of interest, which included poor image quality or a deeper zone. [Conclusion] Our method of measuring muscle velocity using a custom program showed high validity and reliability. It is necessary to use the regression equation in the program to improve accuracy. However, the validity of the method could be reduced if the regions of interest involve deep tissues or areas with poor visualization of the muscle bundles, or if the brightness and contrast of the image are set inaccurately. The Society of Physical Therapy Science 2020-02-14 2020-02 /pmc/articles/PMC7032980/ /pubmed/32158076 http://dx.doi.org/10.1589/jpts.32.130 Text en 2020©by the Society of Physical Therapy Science. Published by IPEC Inc. This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivatives (by-nc-nd) License. (CC-BY-NC-ND 4.0: https://creativecommons.org/licenses/by-nc-nd/4.0/)
spellingShingle Original Article
Yamashita, Tomoko
Ozawa, Kohei
Gamada, Kazuyoshi
Validity and reliability of velocity measurements on ultrasonography using custom software with an optical-flow algorithm
title Validity and reliability of velocity measurements on ultrasonography using custom software with an optical-flow algorithm
title_full Validity and reliability of velocity measurements on ultrasonography using custom software with an optical-flow algorithm
title_fullStr Validity and reliability of velocity measurements on ultrasonography using custom software with an optical-flow algorithm
title_full_unstemmed Validity and reliability of velocity measurements on ultrasonography using custom software with an optical-flow algorithm
title_short Validity and reliability of velocity measurements on ultrasonography using custom software with an optical-flow algorithm
title_sort validity and reliability of velocity measurements on ultrasonography using custom software with an optical-flow algorithm
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7032980/
https://www.ncbi.nlm.nih.gov/pubmed/32158076
http://dx.doi.org/10.1589/jpts.32.130
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