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@ARTICLE{Yarach:137846,
author = {Yarach, Uten and Luengviriya, Chaiya and Danishad, Appu and
Stucht, Daniel and Godenschweger, Frank and Schulze, Peter
and Speck, Oliver},
title = {{C}orrection of gradient nonlinearity artifacts in
prospective motion correction for 7{T} {MRI}.},
journal = {Magnetic resonance in medicine},
volume = {73},
number = {4},
issn = {0740-3194},
address = {New York, NY [u.a.]},
publisher = {Wiley-Liss},
reportid = {DZNE-2020-04168},
pages = {1562-1569},
year = {2015},
abstract = {To 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.},
keywords = {Algorithms / Artifacts / Image Enhancement: methods / Image
Interpretation, Computer-Assisted: methods / Imaging,
Three-Dimensional: methods / Magnetic Resonance Imaging:
instrumentation / Magnetic Resonance Imaging: methods /
Motion / Nonlinear Dynamics / Phantoms, Imaging /
Reproducibility of Results / Sensitivity and Specificity},
cin = {Core MR PET / AG Düzel},
ddc = {610},
cid = {I:(DE-2719)1340016 / I:(DE-2719)5000006},
pnm = {344 - Clinical and Health Care Research (POF3-344)},
pid = {G:(DE-HGF)POF3-344},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:24798889},
pmc = {pmc:PMC4221571},
doi = {10.1002/mrm.25283},
url = {https://pub.dzne.de/record/137846},
}