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@INBOOK{Caldeira:858930,
      author       = {Caldeira, L. and Kops, E. Rota and da Silva, N. A. and
                      Herzog, H.},
      title        = {{CHAPTER} 11. {MR}-based {C}orrections for {Q}uantitative
                      {PET} {I}mage},
      address      = {Cambridge},
      publisher    = {Royal Society of Chemistry},
      reportid     = {FZJ-2018-07766},
      series       = {New Developments in NMR},
      pages        = {229 - 258},
      year         = {2018},
      comment      = {Hybrid MR-PET Imaging / Shah, N Jon (Editor)},
      booktitle     = {Hybrid MR-PET Imaging / Shah, N Jon
                       (Editor)},
      abstract     = {In this chapter, we address the correction of positron
                      emission tomography (PET) images using magnetic resonance
                      (MR) information, namely attenuation correction (AC),
                      partial volume correction (PVC) and the arterial input
                      function (AIF). The use of quantitative brain PET imaging is
                      a basic prerequisite in research as well as in the clinical
                      PET environment. Consequently, a reliable attenuation
                      correction method for the PET data is imperative. Here, we
                      describe the attenuation process and provide an outline of
                      several attenuation correction methods, all based on
                      simultaneously acquired MR sequences. When absolute
                      quantification of, e.g., blood flow and metabolism in small
                      anatomical structures is required, the spatial resolution of
                      PET scanners can be a limiting factor. The partial volume
                      effect resulting from the limited spatial resolution is
                      explained and correction methods are presented in this
                      chapter. When the visualisation of kinetic processes, such
                      as cerebral glucose consumption or cerebral blood flow, is
                      required, fully quantitative data can only be acquired with
                      knowledge of the arterial input function. This information
                      can be obtained using MR images, which make it possible to
                      extract exactly the information required. The ways to obtain
                      such a function, the methods to use it and the related
                      uncertainties are also discussed in this chapter.},
      cin          = {INM-4 / INM-11 / JARA-BRAIN},
      cid          = {I:(DE-Juel1)INM-4-20090406 / I:(DE-Juel1)INM-11-20170113 /
                      $I:(DE-82)080010_20140620$},
      pnm          = {573 - Neuroimaging (POF3-573)},
      pid          = {G:(DE-HGF)POF3-573},
      typ          = {PUB:(DE-HGF)7},
      doi          = {10.1039/9781788013062-00229},
      url          = {https://juser.fz-juelich.de/record/858930},
}