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@ARTICLE{Louo:896739,
      author       = {Loução, Ricardo and Oros-Peusquens, Ana-Maria and Langen,
                      Karl-Josef and Ferreira, Hugo Alexandre and Shah, N. Jon},
      title        = {{A} {F}ast {P}rotocol for {M}ultiparametric
                      {C}haracterisation of {D}iffusion in the {B}rain and {B}rain
                      {T}umours},
      journal      = {Frontiers in oncology},
      volume       = {11},
      issn         = {2234-943X},
      address      = {Lausanne},
      publisher    = {Frontiers Media},
      reportid     = {FZJ-2021-03564},
      pages        = {554205},
      year         = {2021},
      abstract     = {Multi-parametric tissue characterisation is demonstrated
                      using a 4-minute protocol based on diffusion trace
                      acquisitions. Three diffusion regimes are covered
                      simultaneously: pseudo-perfusion, Gaussian, and non-Gaussian
                      diffusion. The clinical utility of this method for fast
                      multi-parametric mapping for brain tumours is explored. A
                      cohort of 17 brain tumour patients was measured on a 3T
                      hybrid MR-PET scanner with a standard clinical MRI protocol,
                      to which the proposed multi-parametric diffusion protocol
                      was subsequently added. For comparison purposes, standard
                      perfusion and a full diffusion kurtosis protocol were
                      acquired. Simultaneous amino-acid (18F-FET) PET enabled the
                      identification of active tumour tissue. The metrics derived
                      from the proposed protocol included perfusion fraction,
                      pseudo-diffusivity, apparent diffusivity, and apparent
                      kurtosis. These metrics were compared to the corresponding
                      metrics from the dedicated acquisitions: cerebral blood
                      volume and flow, mean diffusivity and mean kurtosis.
                      Simulations were carried out to assess the influence of
                      fitting methods and noise levels on the estimation of the
                      parameters. The diffusion and kurtosis metrics obtained from
                      the proposed protocol show strong to very strong
                      correlations with those derived from the conventional
                      protocol. However, a bias towards lower values was observed.
                      The pseudo-perfusion parameters showed very weak to weak
                      correlations compared to their perfusion counterparts. In
                      conclusion, we introduce a clinically applicable protocol
                      for measuring multiple parameters and demonstrate its
                      relevance to pathological tissue characterisation.},
      cin          = {INM-4 / INM-11 / JARA-BRAIN},
      ddc          = {610},
      cid          = {I:(DE-Juel1)INM-4-20090406 / I:(DE-Juel1)INM-11-20170113 /
                      I:(DE-Juel1)VDB1046},
      pnm          = {5253 - Neuroimaging (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5253},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {34621664},
      UT           = {WOS:000703466200001},
      doi          = {10.3389/fonc.2021.554205},
      url          = {https://juser.fz-juelich.de/record/896739},
}