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@ARTICLE{Rank:119784,
author = {C. Rank$^*$ and T. Heußer$^*$ and M. T. A. Buzan and A.
Wetscherek$^*$ and M. Freitag$^*$ and J. Dinkel and M.
Kachelrieß$^*$},
title = {4{D} respiratory motion-compensated image reconstruction of
free-breathing radial {MR} data with very high
undersampling.},
journal = {Magnetic resonance in medicine},
volume = {77},
number = {3},
issn = {0740-3194},
address = {New York, NY [u.a.]},
publisher = {Wiley-Liss},
reportid = {DKFZ-2017-00411},
pages = {1170 - 1183},
year = {2017},
note = {E025},
abstract = {To develop four-dimensional (4D) respiratory time-resolved
MRI based on free-breathing acquisition of radial MR data
with very high undersampling.We propose the 4D joint
motion-compensated high-dimensional total variation (4D
joint MoCo-HDTV) algorithm, which alternates between
motion-compensated image reconstruction and artifact-robust
motion estimation at multiple resolution levels. The
algorithm is applied to radial MR data of the thorax and
upper abdomen of 12 free-breathing subjects with acquisition
times between 37 and 41 s and undersampling factors of 16.8.
Resulting images are compared with compressed sensing-based
4D motion-adaptive spatio-temporal regularization (MASTeR)
and 4D high-dimensional total variation (HDTV)
reconstructions.For all subjects, 4D joint MoCo-HDTV
achieves higher similarity in terms of normalized mutual
information and cross-correlation than 4D MASTeR and 4D HDTV
when compared with reference 4D gated gridding
reconstructions with 8.4 ± 1.1 times longer acquisition
times. In a qualitative assessment of artifact level and
image sharpness by two radiologists, 4D joint MoCo-HDTV
reveals higher scores (P < 0.05) than 4D HDTV and 4D MASTeR
at the same undersampling factor and the reference 4D gated
gridding reconstructions, respectively.4D joint MoCo-HDTV
enables time-resolved image reconstruction of free-breathing
radial MR data with undersampling factors of 16.8 while
achieving low-streak artifact levels and high image
sharpness. Magn Reson Med 77:1170-1183, 2017. © 2016
International Society for Magnetic Resonance in Medicine.},
cin = {E020 / E025 / E010},
ddc = {610},
cid = {I:(DE-He78)E020-20160331 / I:(DE-He78)E025-20160331 /
I:(DE-He78)E010-20160331},
pnm = {315 - Imaging and radiooncology (POF3-315)},
pid = {G:(DE-HGF)POF3-315},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:26991911},
doi = {10.1002/mrm.26206},
url = {https://inrepo02.dkfz.de/record/119784},
}