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@ARTICLE{Koch:278572,
      author       = {Koch, Alexandra and Stirnberg, Rüdiger and Estrada,
                      Santiago and Zeng, Weiyi and Lohner, Valerie and Shahid,
                      Mohammad and Ehses, Philipp and Pracht, Eberhard D and
                      Reuter, Martin and Stöcker, Tony and Breteler, Monique M B},
      title        = {{V}ersatile {MRI} acquisition and processing protocol for
                      population-based neuroimaging.},
      journal      = {Nature protocols},
      volume       = {20},
      number       = {5},
      issn         = {1754-2189},
      address      = {Basingstoke},
      publisher    = {Nature Publishing Group},
      reportid     = {DZNE-2025-00605},
      pages        = {1223 - 1245},
      year         = {2025},
      abstract     = {Neuroimaging has an essential role in studies of brain
                      health and of cerebrovascular and neurodegenerative
                      diseases, requiring the availability of versatile magnetic
                      resonance imaging (MRI) acquisition and processing
                      protocols. We designed and developed a multipurpose
                      high-resolution MRI protocol for large-scale and long-term
                      population neuroimaging studies that includes structural,
                      diffusion-weighted and functional MRI modalities. This
                      modular protocol takes almost 1 h of scan time and is, apart
                      from a concluding abdominal scan, entirely dedicated to the
                      brain. The protocol links the acquisition of an extensive
                      set of MRI contrasts directly to the corresponding fully
                      automated data processing pipelines and to the required
                      quality assurance of the MRI data and of the image-derived
                      phenotypes. Since its successful implementation in the
                      population-based Rhineland Study (ongoing, currently more
                      than 11,000 participants, target participant number of
                      20,000), the proposed MRI protocol has proved suitable for
                      epidemiological and clinical cross-sectional and
                      longitudinal studies, including multisite studies. The
                      approach requires expertise in magnetic resonance image
                      acquisition, in computer science for the data management and
                      the execution of processing pipelines, and in brain anatomy
                      for the quality assessment of the MRI data. The protocol
                      takes ~1 h of MRI acquisition and ~20 h of data processing
                      to complete for a single dataset, but parallelization over
                      multiple datasets using high-performance computing resources
                      reduces the processing time. By making the protocol, MRI
                      sequences and pipelines available, we aim to contribute to
                      better comparability, interoperability and reusability of
                      large-scale neuroimaging data.},
      subtyp        = {Review Article},
      keywords     = {Humans / Magnetic Resonance Imaging: methods /
                      Neuroimaging: methods / Image Processing, Computer-Assisted:
                      methods / Brain: diagnostic imaging},
      cin          = {AG Breteler / AG Stöcker / AG Reuter},
      ddc          = {610},
      cid          = {I:(DE-2719)1012001 / I:(DE-2719)1013026 /
                      I:(DE-2719)1040310},
      pnm          = {354 - Disease Prevention and Healthy Aging (POF4-354)},
      pid          = {G:(DE-HGF)POF4-354},
      experiment   = {EXP:(DE-2719)Rhineland Study-20190321},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:39672917},
      doi          = {10.1038/s41596-024-01085-w},
      url          = {https://pub.dzne.de/record/278572},
}