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@ARTICLE{Niesporek:131529,
      author       = {S. Niesporek$^*$ and R. Umathum$^*$ and T. Fiedler$^*$ and
                      P. Bachert$^*$ and M. Ladd$^*$ and A. Nagel$^*$},
      title        = {{I}mproved [{F}ormula: see text] determination in 23{N}a,
                      35{C}l, and 17{O} {MRI} using iterative partial volume
                      correction based on 1{H} {MRI} segmentation.},
      journal      = {Magnetic resonance materials in physics, biology and
                      medicine},
      volume       = {30},
      number       = {6},
      issn         = {1352-8661},
      address      = {Heidelberg},
      publisher    = {Springer},
      reportid     = {DKFZ-2017-06193},
      pages        = {519 - 536},
      year         = {2017},
      abstract     = {Functional parameters can be measured with the help of
                      quantitative non-proton MRI where exact relaxometry
                      parameters are needed. Investigation of [Formula: see text]
                      is often biased by strong partial volume (PV) effects.
                      Hence, in this work a PV correction algorithm approach was
                      evaluated that uses iteratively adapted [Formula: see
                      text]-values and high-resolution structural 1H data to
                      determine transverse relaxation in non-proton MRI more
                      accurately.Simulations, a phantom study and in vivo 23Na,
                      17O and 35Cl MRI measurements of five healthy volunteers
                      were performed to evaluate the algorithm. [Formula: see
                      text] values of grey matter (GM), white matter (WM) and
                      cerebrospinal fluid (CSF) were obtained. Data were acquired
                      at B 0  = 7T with nominal spatial resolutions of
                      (4-7 mm)3 using a density-adapted radial sequence. The
                      resulting transverse relaxation times were used for
                      quantification of 17O data.The conducted simulations and
                      phantom study verified the correction performance of the
                      algorithm. For in vivo measured [Formula: see text] values,
                      the correction of PV effects leads to an increase in CSF and
                      to a decrease in GM/WM (23Na MRI: long/short GM, WM
                      [Formula: see text]: 36.4 ± 3.1/5.4 ± 0.2,
                      23.3 ± 2.6/3.5 ± 0.1 ms; 35Cl MRI:
                      8.9 ± 1.4/1.0 ± 0.4, 5.9 ± 0.3/0.4 ± 0.1 ms;
                      17O MRI: 2.5 ± 0.1, 2.8 ± 0.1 ms). Iteratively
                      corrected in vivo [Formula: see text] values of the 17O
                      study resulted in improved water content quantification.The
                      proposed iterative algorithm for PV correction leads to more
                      accurate [Formula: see text] values and, thus, can improve
                      accuracy in quantitative non-proton MRI.},
      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:28550649},
      doi          = {10.1007/s10334-017-0623-2},
      url          = {https://inrepo02.dkfz.de/record/131529},
}