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@ARTICLE{Rink:119792,
      author       = {K. Rink$^*$ and N. Benkhedah$^*$ and M. Berger$^*$ and C.
                      Gnahm$^*$ and N. Behl$^*$ and J. Lommen$^*$ and V. Stahl$^*$
                      and P. Bachert$^*$ and M. Ladd$^*$ and A. Nagel$^*$},
      title        = {{I}terative reconstruction of radially-sampled (31){P}
                      b{SSFP} data using prior information from (1){H} {MRI}.},
      journal      = {Magnetic resonance imaging},
      volume       = {37},
      issn         = {0730-725X},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {DKFZ-2017-00419},
      pages        = {147 - 158},
      year         = {2017},
      abstract     = {The purpose of this study is to improve direct phosphorus
                      ((31)P) MR imaging. Therefore, 3D density-adapted
                      radially-sampled balanced steady-state free precession
                      (bSSFP) sequences were developed and an iterative approach
                      exploiting additional anatomical information from hydrogen
                      ((1)H) data was evaluated. Three healthy volunteers were
                      examined at B0=7T in order to obtain the spatial
                      distribution of the phosphocreatine (PCr) intensities in the
                      human calf muscle with a nominal isotropic resolution of
                      10mm in an acquisition time of 10min. Three different bSSFP
                      gradient schemes were investigated. The highest
                      signal-to-noise ratio (SNR) was obtained for a scheme with
                      two point-reflected density-adapted gradients. Furthermore,
                      the conventional reconstruction based on a gridding
                      algorithm was compared to an iterative method using an (1)H
                      MRI constraint in terms of a segmented binary mask, which
                      comprises prior knowledge. The parameters of the iterative
                      approach were optimized and evaluated by simulations
                      featuring (31)P MRI parameters. Thereby, partial volume
                      effects as well as Gibbs ringing artifacts could be reduced.
                      In conclusion, the iterative reconstruction of (31)P bSSFP
                      data using an (1)H MRI constraint is appropriate for
                      investigating regions where sharp tissue boundaries occur
                      and leads to images that represent the real PCr
                      distributions better than conventionally reconstructed
                      images.},
      cin          = {E020},
      ddc          = {610},
      cid          = {I:(DE-He78)E020-20160331},
      pnm          = {315 - Imaging and radiooncology (POF3-315)},
      pid          = {G:(DE-HGF)POF3-315},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:27871865},
      doi          = {10.1016/j.mri.2016.11.013},
      url          = {https://inrepo02.dkfz.de/record/119792},
}