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dc.contributor.authorKörting, Clara
dc.contributor.authorSchlippe, Marius
dc.contributor.authorPetersson, Sven
dc.contributor.authorPennati, Gaia Valentina
dc.contributor.authorTarassova, Olga
dc.contributor.authorArndt, Anton
dc.contributor.authorFinni, Taija
dc.contributor.authorZhao, Kangqiao
dc.contributor.authorWang, Ruoli
dc.date.accessioned2019-08-28T06:54:40Z
dc.date.available2019-08-28T06:54:40Z
dc.date.issued2019
dc.identifier.citationKörting, Clara; Schlippe, Marius; Petersson, Sven; Pennati, Gaia Valentina; Tarassova, Olga; Arndt, Anton; Finni, Taija; Zhao, Kangqiao; Wang, Ruoli (2019). In vivo muscle morphology comparison in post-stroke survivors using ultrasonography and diffusion tensor imaging. Scientific Reports, 9, 11836. DOI: 10.1038/s41598-019-47968-x
dc.identifier.otherCONVID_32292543
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/65339
dc.description.abstractSkeletal muscle architecture significantly influences the performance capacity of a muscle. A DTI-based method has been recently considered as a new reference standard to validate measurement of muscle structure in vivo. This study sought to quantify muscle architecture parameters such as fascicle length (FL), pennation angle (PA) and muscle thickness (tm) in post-stroke patients using diffusion tensor imaging (DTI) and to quantitatively compare the differences with 2D ultrasonography (US) and DTI. Muscle fascicles were reconstructed to examine the anatomy of the medial gastrocnemius, posterior soleus and tibialis anterior in seven stroke survivors using US- and DTI-based techniques, respectively. By aligning the US and DTI coordinate system, DTI reconstructed muscle fascicles at the same scanning plane of the US data can be identified. The architecture parameters estimated based on two imaging modalities were further compared. Significant differences were observed for PA and tm between two methods. Although mean FL was not significantly different, there were considerable intra-individual differences in FL and PA. On the individual level, parameters measured by US agreed poorly with those from DTI in both deep and superficial muscles. The significant differences in muscle parameters we observed suggested that the DTI-based method seems to be a better method to quantify muscle architecture parameters which can provide important information for treatment planning and to personalize a computational muscle model.en
dc.format.mimetypeapplication/pdf
dc.languageeng
dc.publisherNature Publishing Group
dc.relation.ispartofseriesScientific Reports
dc.rightsCC BY 4.0
dc.subject.otherdiffusion tensor imaging
dc.subject.otherskeletal muscle
dc.titleIn vivo muscle morphology comparison in post-stroke survivors using ultrasonography and diffusion tensor imaging
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-201908283944
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.issn2045-2322
dc.relation.volume9
dc.type.versionpublishedVersion
dc.rights.copyright© The Author(s) 2019
dc.rights.accesslevelopenAccessfi
dc.subject.ysotuki- ja liikuntaelimet
dc.subject.ysomorfologia
dc.subject.ysoin vivo -menetelmä
dc.subject.ysolihakset
dc.subject.ysodiffuusiotensorikuvaus
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p2785
jyx.subject.urihttp://www.yso.fi/onto/yso/p1524
jyx.subject.urihttp://www.yso.fi/onto/yso/p21040
jyx.subject.urihttp://www.yso.fi/onto/yso/p2784
jyx.subject.urihttp://www.yso.fi/onto/yso/p27290
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.1038/s41598-019-47968-x
jyx.fundinginformationThis work was supported by Promobilia Foundation, Norrbacka-Eugeniastiftelsen, and Carl Tryggers Stiftelsen.


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