Lotz, Joachim

[["dc.bibliographiccitation.artnumber","321623"],["dc.bibliographiccitation.journal","BioMed research international"],["dc.bibliographiccitation.volume","2015"],["dc.contributor.author","van Ooijen, Peter M. A."],["dc.contributor.author","Francone, Marco"],["dc.contributor.author","Lotz, Joachim"],["dc.contributor.author","Rasche, Volker"],["dc.date.accessioned","2019-07-09T11:42:34Z"],["dc.date.available","2019-07-09T11:42:34Z"],["dc.date.issued","2015"],["dc.description.abstract","not available"],["dc.identifier.doi","10.1155/2015/321623"],["dc.identifier.fs","619195"],["dc.identifier.pmid","26247016"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/13577"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/58697"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.relation.issn","2314-6141"],["dc.rights","CC BY 3.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/3.0"],["dc.subject.mesh","Diagnostic Imaging"],["dc.subject.mesh","Heart Function Tests"],["dc.subject.mesh","Humans"],["dc.subject.mesh","Image Interpretation, Computer-Assisted"],["dc.subject.mesh","Reproducibility of Results"],["dc.subject.mesh","Sensitivity and Specificity"],["dc.subject.mesh","Stroke Volume"],["dc.subject.mesh","Validation Studies as Topic"],["dc.subject.mesh","Ventricular Dysfunction, Left"],["dc.title","Validation of Quantitative Measurements in Cardiovascular Imaging."],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","206"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Journal of magnetic resonance imaging : JMRI"],["dc.bibliographiccitation.lastpage","213"],["dc.bibliographiccitation.volume","40"],["dc.contributor.author","Joseph, Arun"],["dc.contributor.author","Kowallick, Johannes T."],["dc.contributor.author","Merboldt, Klaus-Dietmar"],["dc.contributor.author","Voit, Dirk"],["dc.contributor.author","Schaetz, Sebastian"],["dc.contributor.author","Zhang, Shuo"],["dc.contributor.author","Sohns, Jan M."],["dc.contributor.author","Lotz, Joachim"],["dc.contributor.author","Frahm, Jens"],["dc.date.accessioned","2019-07-09T11:41:30Z"],["dc.date.available","2019-07-09T11:41:30Z"],["dc.date.issued","2014-07-01"],["dc.description.abstract","PURPOSE: To evaluate a novel real-time phase-contrast magnetic resonance imaging (MRI) technique for the assessment of through-plane flow in the ascending aorta. MATERIALS AND METHODS: Real-time MRI was based on a radial fast low-angle shot (FLASH) sequence with about 30-fold undersampling and image reconstruction by regularized nonlinear inversion. Phase-contrast maps were obtained from two (interleaved or sequential) acquisitions with and without a bipolar velocity-encoding gradient. Blood flow in the ascending aorta was studied in 10 healthy volunteers at 3 T by both real-time MRI (15 sec during free breathing) and electrocardiogram (ECG)-synchronized cine MRI (with and without breath holding). Flow velocities and stroke volumes were evaluated using standard postprocessing software. RESULTS: The total acquisition time for a pair of phase-contrast images was 40.0 msec (TR/TE = 2.86/1.93 msec, 10° flip angle, 7 spokes per image) for a nominal in-plane resolution of 1.3 mm and a section thickness of 6 mm. Quantitative evaluations of spatially averaged flow velocities and stroke volumes were comparable for real-time and cine methods when real-time MRI data were averaged across heartbeats. For individual heartbeats real-time phase-contrast MRI resulted in higher peak velocities for values above 120 cm s(-1). CONCLUSION: Real-time phase-contrast MRI of blood flow in the human aorta yields functional parameters for individual heartbeats. When averaged across heartbeats real-time flow velocities and stroke volumes are comparable to values obtained by conventional cine MRI."],["dc.identifier.doi","10.1002/jmri.24328"],["dc.identifier.fs","605197"],["dc.identifier.pmid","24123295"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/12139"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/58445"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.relation.issn","1522-2586"],["dc.rights","CC BY-NC 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by-nc/4.0"],["dc.subject.mesh","Adult"],["dc.subject.mesh","Algorithms"],["dc.subject.mesh","Aorta"],["dc.subject.mesh","Blood Flow Velocity"],["dc.subject.mesh","Computer Systems"],["dc.subject.mesh","Humans"],["dc.subject.mesh","Image Enhancement"],["dc.subject.mesh","Image Interpretation, Computer-Assisted"],["dc.subject.mesh","Magnetic Resonance Angiography"],["dc.subject.mesh","Magnetic Resonance Imaging, Cine"],["dc.subject.mesh","Male"],["dc.subject.mesh","Reproducibility of Results"],["dc.subject.mesh","Rheology"],["dc.subject.mesh","Sensitivity and Specificity"],["dc.subject.mesh","Young Adult"],["dc.title","Real-time flow MRI of the aorta at a resolution of 40 msec."],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]