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@ARTICLE{Nath:143905,
      author       = {V. Nath and K. G. Schilling and P. Parvathaneni and Y. Huo
                      and J. A. Blaber and A. E. Hainline and M. Barakovic and D.
                      Romascano and J. Rafael-Patino and M. Frigo and G. Girard
                      and J.-P. Thiran and A. Daducci and M. Rowe and P. Rodrigues
                      and V. Prčkovska and D. B. Aydogan and W. Sun and Y. Shi
                      and W. A. Parker and A. A. Ould Ismail and R. Verma and R.
                      P. Cabeen and A. W. Toga and A. T. Newton and J.
                      Wasserthal$^*$ and P. Neher$^*$ and K. Maier-Hein$^*$ and G.
                      Savini and F. Palesi and E. Kaden and Y. Wu and J. He and Y.
                      Feng and M. Paquette and F. Rheault and J. Sidhu and C.
                      Lebel and A. Leemans and M. Descoteaux and T. B. Dyrby and
                      H. Kang and B. A. Landman},
      title        = {{T}ractography reproducibility challenge with empirical
                      data ({T}ra{CED}): {T}he 2017 {ISMRM} diffusion study group
                      challenge.},
      journal      = {Journal of magnetic resonance imaging},
      volume       = {51},
      number       = {1},
      issn         = {1522-2586},
      address      = {New York, NY},
      publisher    = {Wiley-Liss},
      reportid     = {DKFZ-2019-01463},
      pages        = {234-249},
      year         = {2020},
      note         = {2020 Jan;51(1):234-249},
      abstract     = {Fiber tracking with diffusion-weighted MRI has become an
                      essential tool for estimating in vivo brain white matter
                      architecture. Fiber tracking results are sensitive to the
                      choice of processing method and tracking criteria.To assess
                      the variability for an algorithm in group studies
                      reproducibility is of critical context. However,
                      reproducibility does not assess the validity of the brain
                      connections. Phantom studies provide concrete quantitative
                      comparisons of methods relative to absolute ground truths,
                      yet do no capture variabilities because of in vivo
                      physiological factors. The ISMRM 2017 TraCED challenge was
                      created to fulfill the gap.A systematic review of algorithms
                      and tract reproducibility studies.Single healthy
                      volunteers.3.0T, two different scanners by the same
                      manufacturer. The multishell acquisition included b-values
                      of 1000, 2000, and 3000 s/mm2 with 20, 45, and 64 diffusion
                      gradient directions per shell, respectively.Nine
                      international groups submitted 46 tractography algorithm
                      entries each consisting 16 tracts per scan. The algorithms
                      were assessed using intraclass correlation (ICC) and the
                      Dice similarity measure.Containment analysis was performed
                      to assess if the submitted algorithms had containment within
                      tracts of larger volume submissions. This also serves the
                      purpose to detect if spurious submissions had been made.The
                      top five submissions had high ICC and Dice >0.88.
                      Reproducibility was high within the top five submissions
                      when assessed across sessions or across scanners: 0.87-0.97.
                      Containment analysis shows that the top five submissions are
                      contained within larger volume submissions. From the total
                      of 16 tracts as an outcome relatively the number of tracts
                      with high, moderate, and low reproducibility were 8, 4, and
                      4.The different methods clearly result in fundamentally
                      different tract structures at the more conservative
                      specificity choices. Data and challenge infrastructure
                      remain available for continued analysis and provide a
                      platform for comparison.5 Technical Efficacy Stage: 1 J.
                      Magn. Reson. Imaging 2019.},
      cin          = {E230 / E132},
      ddc          = {610},
      cid          = {I:(DE-He78)E230-20160331 / I:(DE-He78)E132-20160331},
      pnm          = {315 - Imaging and radiooncology (POF3-315)},
      pid          = {G:(DE-HGF)POF3-315},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:31179595},
      doi          = {10.1002/jmri.26794},
      url          = {https://inrepo02.dkfz.de/record/143905},
}