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@MASTERSTHESIS{Schlsser:896759,
      author       = {Schlösser, Mario},
      title        = {{K}onzeptstudie für die {S}ystem‐{A}rchitektur einer
                      {D}atenverarbeitungs‐{E}inheit für eine
                      {MRT}‐kompatible {PET}‐{I}nsert {A}nwendung},
      school       = {Fernuniversität Hagen},
      type         = {Masterarbeit},
      reportid     = {FZJ-2021-03582},
      pages        = {pages 93},
      year         = {2018},
      note         = {Die vorliegende Masterarbeit enthält vertrauliche
                      Informationen der Firma Philips Digital Photon Counting,
                      Aachen, der RWTH Aachen, NATeurope GmbH, Bonn und der
                      Forschungszentrum Jülich GmbH, die der Geheimhaltung
                      unterliegen.; Masterarbeit, Fernuniversität Hagen, 2018},
      abstract     = {To expand the accuracy of multimodal imaging techniques for
                      the study of neurological diseases evolving new treatments,
                      a new brain scanner will be developed supported by Helmholtz
                      validation funding. Based on the latest digital
                      photomultiplier detectors and current technological
                      standards, a prototype diagnostic device is currently being
                      developed as a combination of positron emission tomography
                      (PET) and magnetic resonance imaging (MRI) technologies. The
                      project is a cooperation between Forschungszentrum Jülich
                      and RWTH Aachen and once finished, the device shall be
                      marketed in concordance with the aim of the Helmholtz
                      Validation funding. For the newly created PET insert to be
                      operated at 7 T within the Siemens developed MRI system
                      currently available at the Institute for Neurosciences and
                      Medicine (INM‐4) of the Forschungszentrum Jülich, an
                      FPGA‐based system serves as the central data processing
                      interface between the used digital Silicon Photomultiplier
                      (dSiPM) sensors and the data server. Based on the experience
                      gained at the Central Institute for Engineering, Electronics
                      and Analytics, ZEA‐2 ‐ Electronic Systems in handling
                      neutron detectors and processing systems, this concept study
                      has been used to extract critical features for consistent
                      data processing and to identify suitable components. From
                      the requirements of bandwidth, form factors and
                      interoperability of the subsystems, a generic approach to a
                      data processing unit has been developed. With the company
                      N.A.T. GmbH and the supported μTCA standard, a robust and
                      extensible concept for Ethernet‐based data transmission
                      and preprocessing using the Virtex‐7 Zynq FPGA from Xilinx
                      was developed. Simulations of the synthesized FPGA
                      configuration proved the theoretical feasibility of the
                      approach followed.},
      cin          = {ZEA-2 / INM-4},
      cid          = {I:(DE-Juel1)ZEA-2-20090406 / I:(DE-Juel1)INM-4-20090406},
      pnm          = {5253 - Neuroimaging (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5253},
      typ          = {PUB:(DE-HGF)19},
      url          = {https://juser.fz-juelich.de/record/896759},
}