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000140591 0247_ $$2doi$$a10.1002/mrm.27509
000140591 0247_ $$2pmid$$apmid:30298692
000140591 0247_ $$2ISSN$$a0740-3194
000140591 0247_ $$2ISSN$$a1522-2594
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000140591 037__ $$aDZNE-2020-06913
000140591 041__ $$aEnglish
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000140591 1001_ $$0P:(DE-HGF)0$$aMattern, Hendrik$$b0$$eCorresponding author
000140591 245__ $$aProspective motion correction improves high-resolution quantitative susceptibility mapping at 7T.
000140591 260__ $$aNew York, NY [u.a.]$$bWiley-Liss$$c2019
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000140591 520__ $$aRecent literature has shown the potential of high-resolution quantitative susceptibility mapping (QSM) with ultra-high field MRI for imaging the anatomy, the vasculature, and investigating their magnetostatic properties. Higher spatial resolutions, however, translate to longer scans resulting, therefore, in higher vulnerability to, and likelihood of, subject movement. We propose a gradient-recalled echo sequence with prospective motion correction (PMC) to address such limitation.Data from 4 subjects were acquired at 7T. The effect of small and large motion on QSM with and without PMC was assessed qualitatively and quantitatively. Full brain QSM and QSM-based venograms with up to 0.33 mm isotropic voxel size were reconstructed.With PMC, motion artifacts in QSM and QSM-based venograms were largely eliminated, enabling-in both large- and small-amplitude motion regimes-accurate depiction of the cortex, vasculature, and other small anatomical structures that are often blurred as a result of head movement or indiscernible at lower image resolutions. Quantitative analyses demonstrated that uncorrected motion could bias regional susceptibility distributions, a trend that was greatly reduced with PMC.Qualitatively, PMC prevented image degradation because of motion artifacts, providing highly detailed QSM images and venograms. Quantitatively, PMC increased the reproducibility of susceptibility measures.
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000140591 650_2 $$2MeSH$$aAdult
000140591 650_2 $$2MeSH$$aAlgorithms
000140591 650_2 $$2MeSH$$aArtifacts
000140591 650_2 $$2MeSH$$aBrain: diagnostic imaging
000140591 650_2 $$2MeSH$$aBrain Mapping: methods
000140591 650_2 $$2MeSH$$aFemale
000140591 650_2 $$2MeSH$$aHead Movements
000140591 650_2 $$2MeSH$$aHumans
000140591 650_2 $$2MeSH$$aImage Interpretation, Computer-Assisted: methods
000140591 650_2 $$2MeSH$$aImage Processing, Computer-Assisted: methods
000140591 650_2 $$2MeSH$$aMagnetic Resonance Imaging
000140591 650_2 $$2MeSH$$aMagnetics
000140591 650_2 $$2MeSH$$aMale
000140591 650_2 $$2MeSH$$aMotion
000140591 650_2 $$2MeSH$$aReproducibility of Results
000140591 650_2 $$2MeSH$$aVision, Ocular
000140591 7001_ $$0P:(DE-HGF)0$$aSciarra, Alessandro$$b1
000140591 7001_ $$0P:(DE-HGF)0$$aLüsebrink, Falk$$b2
000140591 7001_ $$0P:(DE-2719)2810751$$aAcosta-Cabronero, Julio$$b3$$udzne
000140591 7001_ $$0P:(DE-2719)2810706$$aSpeck, Oliver$$b4$$eLast author$$udzne
000140591 77318 $$2Crossref$$3journal-article$$a10.1002/mrm.27509$$b : Wiley, 2018-10-09$$n3$$p1605-1619$$tMagnetic Resonance in Medicine$$v81$$x0740-3194$$y2018
000140591 773__ $$0PERI:(DE-600)1493786-4$$a10.1002/mrm.27509$$gVol. 81, no. 3, p. 1605 - 1619$$n3$$p1605-1619$$q81:3<1605 - 1619$$tMagnetic resonance in medicine$$v81$$x0740-3194$$y2019
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