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000137846 0247_ $$2doi$$a10.1002/mrm.25283
000137846 0247_ $$2pmid$$apmid:24798889
000137846 0247_ $$2pmc$$apmc:PMC4221571
000137846 0247_ $$2ISSN$$a0740-3194
000137846 0247_ $$2ISSN$$a1522-2594
000137846 037__ $$aDZNE-2020-04168
000137846 041__ $$aEnglish
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000137846 1001_ $$0P:(DE-HGF)0$$aYarach, Uten$$b0$$eCorresponding author
000137846 245__ $$aCorrection of gradient nonlinearity artifacts in prospective motion correction for 7T MRI.
000137846 260__ $$aNew York, NY [u.a.]$$bWiley-Liss$$c2015
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000137846 520__ $$aTo demonstrate the effect of gradient nonlinearity and develop a method for correction of gradient nonlinearity artifacts in prospective motion correction (Mo-Co).Nonlinear gradients can induce geometric distortions in magnetic resonance imaging, leading to pixel shifts with errors of up to several millimeters, thereby interfering with precise localization of anatomical structures. Prospective Mo-Co has been extended by conventional gradient warp correction applied to individual phase encoding steps/groups during the reconstruction. The gradient-related displacements are approximated using spherical harmonic functions. In addition, the combination of this method with a retrospective correction of the changes in the coil sensitivity profiles relative to the object (augmented sensitivity encoding (SENSE) reconstruction) was evaluated in simulation and experimental data.Prospective Mo-Co under gradient fields and coils sensitivity inconsistencies results in residual blurring, spatial distortion, and coil sensitivity mismatch artifacts. These errors can be considerably mitigated by the proposed method. High image quality with very little remaining artifacts was achieved after a few iterations. The relative image errors decreased from 25.7% to below 17.3% after 10 iterations.The combined correction of gradient nonlinearity and sensitivity map variation leads to a pronounced reduction of residual motion artifacts in prospectively motion-corrected data.
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000137846 650_2 $$2MeSH$$aAlgorithms
000137846 650_2 $$2MeSH$$aArtifacts
000137846 650_2 $$2MeSH$$aImage Enhancement: methods
000137846 650_2 $$2MeSH$$aImage Interpretation, Computer-Assisted: methods
000137846 650_2 $$2MeSH$$aImaging, Three-Dimensional: methods
000137846 650_2 $$2MeSH$$aMagnetic Resonance Imaging: instrumentation
000137846 650_2 $$2MeSH$$aMagnetic Resonance Imaging: methods
000137846 650_2 $$2MeSH$$aMotion
000137846 650_2 $$2MeSH$$aNonlinear Dynamics
000137846 650_2 $$2MeSH$$aPhantoms, Imaging
000137846 650_2 $$2MeSH$$aReproducibility of Results
000137846 650_2 $$2MeSH$$aSensitivity and Specificity
000137846 7001_ $$aLuengviriya, Chaiya$$b1
000137846 7001_ $$aDanishad, Appu$$b2
000137846 7001_ $$aStucht, Daniel$$b3
000137846 7001_ $$aGodenschweger, Frank$$b4
000137846 7001_ $$0P:(DE-2719)2810420$$aSchulze, Peter$$b5$$udzne
000137846 7001_ $$0P:(DE-2719)2810706$$aSpeck, Oliver$$b6$$eLast author$$udzne
000137846 77318 $$2Crossref$$3journal-article$$a10.1002/mrm.25283$$b : Wiley, 2014-05-05$$n4$$p1562-1569$$tMagnetic Resonance in Medicine$$v73$$x0740-3194$$y2014
000137846 773__ $$0PERI:(DE-600)1493786-4$$a10.1002/mrm.25283$$gVol. 73, no. 4, p. 1562 - 1569$$n4$$p1562-1569$$q73:4<1562 - 1569$$tMagnetic resonance in medicine$$v73$$x0740-3194$$y2015
000137846 8567_ $$2Pubmed Central$$uhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC4221571
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