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<rdf:RDF xmlns:community="http://www.bibsonomy.org/ontologies/2008/05/community#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:owl="http://www.w3.org/2002/07/owl#" xmlns:admin="http://webns.net/mvcb/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:syn="http://purl.org/rss/1.0/modules/syndication/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" xmlns:cc="http://web.resource.org/cc/" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" xmlns:swrc="http://swrc.ontoware.org/ontology#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" xmlns="http://purl.org/rss/1.0/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xml:base="https://puma.ub.uni-stuttgart.de/tag/processing%20Processing%20dynamic"><owl:Ontology rdf:about=""><rdfs:comment>PUMA publications for /tag/processing%20Processing%20dynamic</rdfs:comment><owl:imports rdf:resource="http://swrc.ontoware.org/ontology/portal"/></owl:Ontology><rdf:Description rdf:about="https://puma.ub.uni-stuttgart.de/bibtex/21c09ad3a57d45986105107c77d0da5cf/inspo5"><owl:sameAs rdf:resource="/uri/bibtex/21c09ad3a57d45986105107c77d0da5cf/inspo5"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/><owl:sameAs rdf:resource="https://www.frontiersin.org/articles/10.3389/fbioe.2024.1388907"/><swrc:date>Fri Jul 05 14:59:56 CEST 2024</swrc:date><swrc:journal>Frontiers in Bioengineering and Biotechnology</swrc:journal><swrc:title>Determination of muscle shape deformations of the tibialis anterior during dynamic contractions using 3D ultrasound</swrc:title><swrc:volume>12</swrc:volume><swrc:year>2024</swrc:year><swrc:keywords>3d contraction deformation dynamic fibres image movement muscle processing shape ultrasound </swrc:keywords><swrc:hasExtraField><swrc:Field swrc:value="2296-4185" swrc:key="issn"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="10.3389/fbioe.2024.1388907" swrc:key="doi"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Annika S. Sahrmann"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Lukas Vosse"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Tobias Siebert"/></rdf:_3><rdf:_4><swrc:Person swrc:name="Geoffrey G. Handsfield"/></rdf:_4><rdf:_5><swrc:Person swrc:name="Oliver Röhrle"/></rdf:_5></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="https://puma.ub.uni-stuttgart.de/bibtex/21947549f0f7295e064e79f467f085d7b/inspo5"><owl:sameAs rdf:resource="/uri/bibtex/21947549f0f7295e064e79f467f085d7b/inspo5"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/><owl:sameAs rdf:resource="https://www.frontiersin.org/articles/10.3389/fbioe.2024.1388907/full?&amp;utm_source=Email_to_authors_&amp;utm_medium=Email&amp;utm_content=T1_11.5e1_author&amp;utm_campaign=Email_publication&amp;field=&amp;journalName=Frontiers_in_Bioengineering_and_Biotechnology&amp;id=1388907"/><swrc:date>Wed Jun 05 15:26:27 CEST 2024</swrc:date><swrc:journal>Frontiers in Bioengineering and Biotechnology</swrc:journal><swrc:month>June</swrc:month><swrc:title>Determination of muscle shape deformations of the tibialis anterior during dynamic contractions using 3D ultrasound.
Front. Bioeng. Biotechnol. 12:1388907.
</swrc:title><swrc:volume>12</swrc:volume><swrc:year>2024</swrc:year><swrc:keywords>3D contraction deformation dynamic image movement muscle processing ultrasound </swrc:keywords><swrc:abstract>Purpose: In this paper, we introduce a novel method for determining 3D deformations of the human tibialis anterior (TA) muscle during dynamic movements using 3D ultrasound.

Materials and Methods: An existing automated 3D ultrasound system is used for data acquisition, which consists of three moveable axes, along which the probe can move. While the subjects perform continuous plantar- and dorsiflexion movements in two different controlled velocities, the ultrasound probe sweeps cyclically from the ankle to the knee along the anterior shin. The ankle joint angle can be determined using reflective motion capture markers. Since we considered the movement direction of the foot, i.e., active or passive TA, four conditions occur: slow active, slow passive, fast active, fast passive. By employing an algorithm which defines ankle joint angle intervals, i.e., intervals of range of motion (ROM), 3D images of the volumes during movement can be reconstructed.

Results: We found constant muscle volumes between different muscle lengths, i.e., ROM intervals. The results show an increase in mean cross-sectional area (CSA) for TA muscle shortening. Furthermore, a shift in maximum CSA towards the proximal side of the muscle could be observed for muscle shortening. We found significantly different maximum CSA values between the fast active and all other conditions, which might be caused by higher muscle activation due to the faster velocity.

Conclusion: In summary, we present a method for determining muscle volume deformation during dynamic contraction using ultrasound, which will enable future empirical studies and 3D computational models of skeletal muscles.</swrc:abstract><swrc:hasExtraField><swrc:Field swrc:value="English" swrc:key="language"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="10.3389/fbioe.2024.1388907" swrc:key="doi"/></swrc:hasExtraField><swrc:editor><rdf:Seq><rdf:_1><swrc:Person swrc:name="Tobias Siebert"/></rdf:_1></rdf:Seq></swrc:editor></rdf:Description><rdf:Description rdf:about="https://puma.ub.uni-stuttgart.de/bibtex/2dccb0302d8b765b1450e86f4b2798951/amerwafai"><owl:sameAs rdf:resource="/uri/bibtex/2dccb0302d8b765b1450e86f4b2798951/amerwafai"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Misc"/><swrc:date>Fri Jan 29 09:34:55 CET 2016</swrc:date><swrc:address>Vienna, Austria</swrc:address><swrc:booktitle>Euro-Par 2015: Parallel Processing</swrc:booktitle><swrc:month>August</swrc:month><swrc:series>LNCS</swrc:series><swrc:title>Optimized Force Calculation of Molecular Dynamics Simulations for the Intel Xeon Phi</swrc:title><swrc:volume>9233</swrc:volume><swrc:year>2015</swrc:year><swrc:keywords>HLRS SCOPE absolute and calculation cell colored core distributed dynamic force gather intel interaction law linked memory molecular myown newton operation optimization parallel parallelization performance phi processing range scatter shared short site third xeon yellow </swrc:keywords><swrc:abstract>We provide details on the shared-memory parallelization for manycore architectures of the molecular dynamics framework ls1-mardyn, including an optimization of the SIMD vectorization for multi-centered molecules. The novel shared-memory parallelization scheme allows to re- tain Newton&#039;s third law optimization and exhibits very good scaling on many-core devices such as a full Xeon Phi card running 240 threads. The Xeon Phi can thus be exploited and delivers comparable performance as IvyBridge nodes in our experiments.</swrc:abstract><swrc:hasExtraField><swrc:Field swrc:value="2015-08-19 09:05:42 +0000" swrc:key="date-added"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="2015-08-19 09:10:27 +0000" swrc:key="date-modified"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Nikola Tchipev"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Amer Wafai"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Colin W. Glass"/></rdf:_3><rdf:_4><swrc:Person swrc:name="Wolfgang Eckhardt"/></rdf:_4><rdf:_5><swrc:Person swrc:name="Alexander Heinecke"/></rdf:_5><rdf:_6><swrc:Person swrc:name="Hans-Joachim Bungartz"/></rdf:_6><rdf:_7><swrc:Person swrc:name="Philipp Neumann"/></rdf:_7></rdf:Seq></swrc:author><swrc:editor><rdf:Seq><rdf:_1><swrc:Person swrc:name="Jesper Larsson Tr{\&#034;a}ff"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Sascha Hunold"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Francesco Versaci"/></rdf:_3></rdf:Seq></swrc:editor></rdf:Description><foaf:Group rdf:about="https://puma.ub.uni-stuttgart.de/tag/processing%20Processing%20dynamic"><foaf:name>processing Processing dynamic</foaf:name><description>Community for tag(s) processing Processing dynamic</description></foaf:Group></rdf:RDF>