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@ARTICLE{OrosPeusquens:842041,
      author       = {Oros-Peusquens, A. M. and Loução, R. and Zimmermann,
                      Markus and Langen, K.-J. and Shah, N. J.},
      title        = {{M}ethods for molecular imaging of brain tumours in a
                      hybrid {MR}-{PET} context: {W}ater content, {T} 2 ∗ ,
                      diffusion indices and {FET}-{PET}},
      journal      = {Methods},
      volume       = {130},
      issn         = {1046-2023},
      address      = {Orlando, Fla.},
      publisher    = {Academic Press},
      reportid     = {FZJ-2018-00325},
      pages        = {135 - 151},
      year         = {2017},
      abstract     = {The aim of this study is to present and evaluate a
                      multiparametric and multi-modality imaging protocol applied
                      to brain tumours and investigate correlations between these
                      different imaging measures. In particular, we describe a
                      method for rapid, non-invasive, quantitative imaging of
                      water content of brain tissue, based on a single
                      multiple-echo gradient-echo (mGRE) acquisition. We include
                      in the processing a method for noise reduction of the
                      multi-contrast data based on Principal Component Analysis
                      (PCA). Noise reduction is a key ingredient to obtaining
                      high-precision water content and transverse relaxation T2∗
                      values. The quantitative method is applied to brain tumour
                      patients in a hybrid MR-PET environment. Active tumour
                      tissue is identified by means of FET-PET; oedema, white and
                      grey-matter segmentation is performed based on MRI
                      contrasts. Water content information is not only relevant by
                      itself, but also as a basis for correlations with other
                      quantitative measures of water behaviour in tissue and
                      interpreting the microenvironment of water. Water content in
                      active tumour tissue $(84\%)$ and oedema $(79\%)$ regions is
                      found to be higher than that of normal WM $(69\%)$ and close
                      to that of normal GM $(83\%).$ Consistent with literature
                      reports, mean kurtosis is measured to be lower in tumour and
                      oedema regions than in normal WM and GM, whereas mean
                      diffusivity is increased. Voxel-based correlations between
                      water content and diffusion indices obtained with diffusion
                      kurtosis tensor imaging, and between quantitative MRI and
                      FET-PET are reported for 8 brain tumour patients. The
                      effective transverse relaxation time T2∗ is found to be
                      the MR parameter showing the strongest correlations with
                      other MR indices derived here and with FET-PET.},
      cin          = {INM-4 / JARA-BRAIN},
      ddc          = {540},
      cid          = {I:(DE-Juel1)INM-4-20090406 / $I:(DE-82)080010_20140620$},
      pnm          = {573 - Neuroimaging (POF3-573)},
      pid          = {G:(DE-HGF)POF3-573},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:28774682},
      UT           = {WOS:000414879700015},
      doi          = {10.1016/j.ymeth.2017.07.025},
      url          = {https://juser.fz-juelich.de/record/842041},
}