DC FieldValueLanguage
dc.contributor.authorGdaniec, Nadine-
dc.contributor.authorBoberg, Marija-
dc.contributor.authorMöddel, Martin-
dc.contributor.authorSzwargulski, Patryk-
dc.contributor.authorKnopp, Tobias-
dc.date.accessioned2021-02-16T08:25:48Z-
dc.date.available2021-02-16T08:25:48Z-
dc.date.issued2020-11-01-
dc.identifier.citationIEEE transactions on medical imaging 11 (39): 3548-3558 (2020)de_DE
dc.identifier.issn0278-0062de_DE
dc.identifier.urihttp://hdl.handle.net/11420/8795-
dc.description.abstractMagnetic particle imaging is a tracer based imaging technique to determine the spatial distribution of superparamagnetic iron oxide nanoparticles with a high spatial and temporal resolution. Due to physiological constraints, the imaging volume is restricted in size and larger volumes are covered by shifting object and imaging volume relative to each other. This results in reduced temporal resolution, which can lead to motion artifacts when imaging dynamic tracer distributions. A common source of such dynamic distributions are cardiac and respiratory motion in in-vivo experiments, which are in good approximation periodic. We present a raw data processing technique that combines data snippets into virtual frames corresponding to a specific state of the dynamic motion. The technique is evaluated on the basis of measurement data obtained from a rotational phantom at two different rotational frequencies. These frequencies are determined from the raw data without reconstruction and without an additional navigator signal. The reconstructed images give reasonable representations of the rotational phantom frozen in several different states of motion while motion artifacts are suppressed.en
dc.language.isoende_DE
dc.publisherIEEEde_DE
dc.relation.ispartofIEEE transactions on medical imagingde_DE
dc.subject.ddc610: Medizinde_DE
dc.subject.ddc620: Ingenieurwissenschaftende_DE
dc.titleSuppression of motion artifacts caused by temporally recurring tracer distributions in multi-patch magnetic particle Imagingde_DE
dc.typeArticlede_DE
dc.type.diniarticle-
dcterms.DCMITypeText-
tuhh.abstract.englishMagnetic particle imaging is a tracer based imaging technique to determine the spatial distribution of superparamagnetic iron oxide nanoparticles with a high spatial and temporal resolution. Due to physiological constraints, the imaging volume is restricted in size and larger volumes are covered by shifting object and imaging volume relative to each other. This results in reduced temporal resolution, which can lead to motion artifacts when imaging dynamic tracer distributions. A common source of such dynamic distributions are cardiac and respiratory motion in in-vivo experiments, which are in good approximation periodic. We present a raw data processing technique that combines data snippets into virtual frames corresponding to a specific state of the dynamic motion. The technique is evaluated on the basis of measurement data obtained from a rotational phantom at two different rotational frequencies. These frequencies are determined from the raw data without reconstruction and without an additional navigator signal. The reconstructed images give reasonable representations of the rotational phantom frozen in several different states of motion while motion artifacts are suppressed.de_DE
tuhh.publisher.doi10.1109/TMI.2020.2998910-
tuhh.publication.instituteBiomedizinische Bildgebung E-5de_DE
tuhh.type.opus(wissenschaftlicher) Artikel-
dc.type.driverarticle-
dc.type.casraiJournal Article-
tuhh.container.issue11de_DE
tuhh.container.volume39de_DE
tuhh.container.startpage3548de_DE
tuhh.container.endpage3558de_DE
dc.identifier.pmid32746103de_DE
dc.identifier.scopus2-s2.0-85094932750de_DE
local.status.inpressfalsede_DE
item.creatorOrcidGdaniec, Nadine-
item.creatorOrcidBoberg, Marija-
item.creatorOrcidMöddel, Martin-
item.creatorOrcidSzwargulski, Patryk-
item.creatorOrcidKnopp, Tobias-
item.languageiso639-1en-
item.creatorGNDGdaniec, Nadine-
item.creatorGNDBoberg, Marija-
item.creatorGNDMöddel, Martin-
item.creatorGNDSzwargulski, Patryk-
item.creatorGNDKnopp, Tobias-
item.openairetypeArticle-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.mappedtypeArticle-
item.fulltextNo Fulltext-
item.cerifentitytypePublications-
crisitem.author.deptBiomedizinische Bildgebung E-5-
crisitem.author.deptBiomedizinische Bildgebung E-5-
crisitem.author.deptBiomedizinische Bildgebung E-5-
crisitem.author.deptBiomedizinische Bildgebung E-5-
crisitem.author.deptBiomedizinische Bildgebung E-5-
crisitem.author.orcid0000-0002-5060-0683-
crisitem.author.orcid0000-0003-3419-7481-
crisitem.author.orcid0000-0002-4737-7863-
crisitem.author.orcid0000-0003-2563-9006-
crisitem.author.orcid0000-0002-1589-8517-
crisitem.author.parentorgStudiendekanat Elektrotechnik, Informatik und Mathematik-
crisitem.author.parentorgStudiendekanat Elektrotechnik, Informatik und Mathematik-
crisitem.author.parentorgStudiendekanat Elektrotechnik, Informatik und Mathematik-
crisitem.author.parentorgStudiendekanat Elektrotechnik, Informatik und Mathematik-
crisitem.author.parentorgStudiendekanat Elektrotechnik, Informatik und Mathematik-
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