dc.contributor.author | Kirkebø, Jan Egil | |
dc.contributor.author | Werkhausen, Amelie | |
dc.contributor.author | Seynnes, Olivier R. | |
dc.contributor.author | Austeng, Andreas | |
dc.date.accessioned | 2021-04-28T08:55:13Z | |
dc.date.available | 2021-04-28T08:55:13Z | |
dc.date.created | 2021-01-27T13:27:04Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Proceedings - IEEE Ultrasonics Symposium. 2020, 1-2. | en_US |
dc.identifier.issn | 1948-5719 | |
dc.identifier.uri | https://hdl.handle.net/11250/2740091 | |
dc.description | I Brage finner du siste tekst-versjon av artikkelen, og den kan inneholde ubetydelige forskjeller fra forlagets pdf-versjon. Forlagets pdf-versjon finner du på http://dx.doi.org/10.1109/IUS46767.2020.9251536 / In Brage you'll find the final text version of the article, and it may contain insignificant differences from the journal's pdf version. The original publication is available at http://dx.doi.org/10.1109/IUS46767.2020.9251536 | en_US |
dc.description.abstract | Fascicle (fiber bundle) orientation and length are useful parameters to infer the force potential of skeletal muscles. Ultrasound imaging is commonly used to determine fascicle characteristics. In most of the literature, automated methods simplify analysis by assimilating fascicles and aponeuroses (connective tissue on which fascicles are anchored) to straight lines that are homogeneously arranged along the muscle length. In practice, manual adjustments are often needed to the realizations of the proposed automated methods due to the low signal-to-noise ratio of the images. We propose a fully automated and robust method that determines non-linear aponeuroses and fascicles over entire panoramic images, reflecting the real structure of the muscle and its fibers. | en_US |
dc.language.iso | eng | en_US |
dc.subject | Ultralyd | en_US |
dc.subject | Ultrasound | en_US |
dc.subject | ultrasound | en_US |
dc.subject | muscle | en_US |
dc.subject | aponeuroses | en_US |
dc.subject | fascicle | en_US |
dc.title | Automated Characterization of Muscle Architectural Variation in Ultrasound Images | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | acceptedVersion | en_US |
dc.source.pagenumber | 2 | en_US |
dc.source.journal | Proceedings - IEEE Ultrasonics Symposium | en_US |
dc.identifier.doi | 10.1109/IUS46767.2020.9251536 | |
dc.identifier.cristin | 1880333 | |
dc.description.localcode | Institutt for fysisk prestasjonsevne / Department of Physical Performance | en_US |
cristin.ispublished | true | |
cristin.fulltext | preprint | |
cristin.fulltext | postprint | |
cristin.qualitycode | 1 | |