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dc.contributor.authorSeynnes, Oliver R.
dc.contributor.authorCronin, Neil J.
dc.date.accessioned2020-02-14T06:08:49Z
dc.date.available2020-02-14T06:08:49Z
dc.date.issued2020
dc.identifier.citationSeynnes, Oliver R.; Cronin, Neil J. (2020). Simple Muscle Architecture Analysis (SMA) : An ImageJ macro tool to automate measurements in B-mode ultrasound scans. PLoS ONE, 15 (2), e0229034. DOI: 10.1371/journal.pone.0229034
dc.identifier.otherCONVID_34620229
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/67830
dc.description.abstractIn vivo measurements of muscle architecture (i.e. the spatial arrangement of muscle fascicles) are routinely included in research and clinical settings to monitor muscle structure, function and plasticity. However, in most cases such measurements are performed manually, and more reliable and time-efficient automated methods are either lacking completely, or are inaccessible to those without expertise in image analysis. In this work, we propose an ImageJ script to automate the entire analysis process of muscle architecture in ultrasound images: Simple Muscle Architecture Analysis (SMA). Images are filtered in the spatial and frequency domains with built-in commands and external plugins to highlight aponeuroses and fascicles. Fascicle dominant orientation is then computed in regions of interest using the OrientationJ plugin. Bland-Altman plots of analyses performed manually or with SMA indicate that the automated analysis does not induce any systematic bias and that both methods agree equally through the range of measurements. Our test results illustrate the suitability of SMA to analyse images from superficial muscles acquired with a broad range of ultrasound settings.en
dc.format.mimetypeapplication/pdf
dc.languageeng
dc.publisherPublic Library of Science
dc.relation.ispartofseriesPLoS ONE
dc.rightsCC BY 4.0
dc.subject.otherkaksoiskantalihas
dc.subject.otherultrasound imaging
dc.subject.othermuscle analysis
dc.subject.othercomputer architecture
dc.subject.othermuscle functions
dc.subject.otherimaging techniques
dc.subject.otherimage analysis
dc.subject.otherconnective tissue
dc.subject.othergastrocnemius muscles
dc.titleSimple Muscle Architecture Analysis (SMA) : An ImageJ macro tool to automate measurements in B-mode ultrasound scans
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202002142069
dc.contributor.laitosLiikuntatieteellinen tiedekuntafi
dc.contributor.laitosFaculty of Sport and Health Sciencesen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.description.reviewstatuspeerReviewed
dc.relation.issn1932-6203
dc.relation.numberinseries2
dc.relation.volume15
dc.type.versionpublishedVersion
dc.rights.copyright© 2020 Seynnes, Cronin.
dc.rights.accesslevelopenAccessfi
dc.subject.ysoultraääni
dc.subject.ysotukikudokset
dc.subject.ysokuva-analyysi
dc.subject.ysolihakset
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p12085
jyx.subject.urihttp://www.yso.fi/onto/yso/p25867
jyx.subject.urihttp://www.yso.fi/onto/yso/p16870
jyx.subject.urihttp://www.yso.fi/onto/yso/p2784
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.datasethttp://dx.doi.org/10.17632/dpmf9bz8pt.2
dc.relation.doi10.1371/journal.pone.0229034
jyx.fundinginformationThe author(s) received no specific funding for this work.


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