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High resolution diffusion tensor imaging of the human brain at 7T

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dc.contributor.authorLuetzkendorf, Ralf
dc.contributor.authorBaecke, Sebastian
dc.contributor.authorMallow, Johannes
dc.contributor.authorHerrmann, Tim
dc.contributor.authorStadler, Joerg
dc.contributor.authorTempelmann, Claus
dc.contributor.authorTrantzschel, Thomas
dc.contributor.authorBernarding, Johannes
dc.contributor.editorGoltz, Ursula
dc.contributor.editorMagnor, Marcus
dc.contributor.editorAppelrath, Hans-Jürgen
dc.contributor.editorMatthies, Herbert K.
dc.contributor.editorBalke, Wolf-Tilo
dc.contributor.editorWolf, Lars
dc.date.accessioned2018-11-06T10:57:50Z
dc.date.available2018-11-06T10:57:50Z
dc.date.issued2012
dc.description.abstractMagnetic resonance imaging (MRI) at 7T provides higher signal-to-noise ratio (SNR) which enables high-resolution functional and anatomic MRI. There is also an increased demand for high-resolution diffusion tensor imaging (DTI) providing important information about cell physiology and neuronal connectivity. DTI may also profit from higher SNR as diffusion-weighting reduces the signal exponentially. But the potential SNR gain in ultra-high field (UHF) DTI is counterbalanced mainly by shortened T2 relaxation times of brain tissue, increased signal inhomogeneities, and coil parameter dependencies for parallel imaging. High resolution DTI (1.15/1.15/3.0 mm3) was performed at 3T and 7T. Parallel imaging (GRAPPA, reconstruction factor 3) and data averaging was required to reduce image distortions, inhomogeneous signal distribution, and increase SNR. This allowed calculating high resolution Diffusion tensor and fractional anisotropy maps. In temporal and basal regions the reduced signal-to-noise ratio rendered the calculated parameter maps less reliable. A simulation of the distribution of the excitation radio frequency (RF) field at 7T in a human voxel model revealed that the inhomogeneities of brain tissue leads to inhomogeneous excitation which is a major cause for observed signal voids. High resolution DTI is therefore feasible at 7T with an image quality comparable or superior to 3T DTI. Main advantage for 7T DTI is combining DTI with anatomic and functional MRI acquired at 7T on the same MR scanner thereby reducing registration errors.en
dc.identifier.isbn978-3-88579-602-2
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/17807
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2012
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-208
dc.titleHigh resolution diffusion tensor imaging of the human brain at 7Ten
dc.typeText/Conference Paper
gi.citation.endPage1716
gi.citation.publisherPlaceBonn
gi.citation.startPage1707
gi.conference.date16.-21. September 2012
gi.conference.locationBraunschweig
gi.conference.sessiontitleRegular Research Papers

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P208 - INFORMATIK 2012