The traveling heads: multicenter brain imaging at 7 Tesla

  • Maximilian N Voelker*
  • , Oliver Kraff
  • , Daniel Brenner
  • , Astrid Wollrab
  • , Oliver Weinberger
  • , Moritz C Berger
  • , Simon Robinson
  • , Wolfgang Bogner
  • , Christopher Wiggins
  • , Robert Trampel
  • , Tony Stöcker
  • , Thoralf Niendorf
  • , Harald H Quick
  • , David G Norris
  • , Mark E Ladd
  • , Oliver Speck
  • *Corresponding author for this work

    Research output: Contribution to journalArticleAcademicpeer-review

    Abstract

    OBJECTIVE: This study evaluates the inter-site and intra-site reproducibility of 7 Tesla brain imaging and compares it to literature values for other field strengths.

    MATERIALS AND METHODS: The same two subjects were imaged at eight different 7 T sites. MP2RAGE, TSE, TOF, SWI, EPI as well as B1 and B0 field maps were analyzed quantitatively to assess inter-site reproducibility. Intra-site reproducibility was measured with rescans at three sites.

    RESULTS: Quantitative measures of MP2RAGE scans showed high agreement. Inter-site and intra-site reproducibility errors were comparable to 1.5 and 3 T. Other sequences also showed high reproducibility between the sites, but differences were also revealed. The different RF coils used were the main source for systematic differences between the sites.

    CONCLUSION: Our results show for the first time that multi-center brain imaging studies of the supratentorial brain can be performed at 7 T with high reproducibility and similar reliability as at 3T. This study develops the basis for future large-scale 7 T multi-site studies.

    Original languageEnglish
    Pages (from-to)399-415
    Number of pages17
    JournalMagnetic Resonance Materials in Physics Biology and Medicine
    Volume29
    Issue number3
    DOIs
    Publication statusPublished - Jun 2016

    Keywords

    • Magnetic resonance imaging
    • Neuroimaging
    • Ultrahigh field
    • Multi-center
    • T MRI DATA
    • PHYSIOLOGICAL NOISE
    • IMAGES
    • FIELD
    • REPRODUCIBILITY
    • SEGMENTATION
    • OPTIMIZATION
    • MORPHOMETRY
    • DEMENTIA
    • ROBUST

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