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@ARTICLE{Fortin:278071,
      author       = {Fortin, Marc-Antoine and Stirnberg, Rüdiger and Völzke,
                      Yannik and Lamalle, Laurent and Pracht, Eberhard and Löwen,
                      Daniel and Stöcker, Tony and Goa, Pal Erik},
      title        = {{MPRAGE}like: {A} novel approach to generate {T}1w images
                      from multi-contrast gradient echo images for brain
                      segmentation.},
      journal      = {Magnetic resonance in medicine},
      volume       = {94},
      number       = {1},
      issn         = {1522-2594},
      address      = {New York, NY [u.a.]},
      publisher    = {Wiley-Liss},
      reportid     = {DZNE-2025-00562},
      pages        = {134 - 149},
      year         = {2025},
      abstract     = {Brain segmentation and multi-parameter mapping (MPM) are
                      important steps in neurodegenerative disease
                      characterization. However, acquiring both a high-resolution
                      T1w sequence like MPRAGE (standard input to brain
                      segmentation) and an MPM in the same neuroimaging protocol
                      increases scan time and patient discomfort, making it
                      difficult to combine both in clinical examinations.A novel
                      approach to synthesize T1w images from MPM images, named
                      MPRAGElike, is proposed and compared to the standard
                      technique used to produce synthetic MPRAGE images
                      (synMPRAGE). Twenty-three healthy subjects were scanned with
                      the same imaging protocol at three different 7T sites using
                      universal parallel transmit RF pulses. SNR, CNR, and
                      automatic brain segmentation results from both MPRAGElike
                      and synMPRAGE were compared against an acquired MPRAGE.The
                      proposed MPRAGElike technique produced higher SNR values
                      than synMPRAGE for all regions evaluated while also having
                      higher CNR values for subcortical structures. MPRAGE was
                      still the image with the highest SNR values overall. For
                      automatic brain segmentation, MPRAGElike outperformed
                      synMPRAGE when compared to MPRAGE (median Dice Similarity
                      Coefficient of 0.90 versus 0.29 and Average Asymmetric
                      Surface Distance of 0.33 versus 2.93 mm, respectively), in
                      addition to being simple, flexible, and considerably more
                      robust to low image quality than synMPRAGE.The MPRAGElike
                      technique can provide a better and more reliable alternative
                      to synMPRAGE as a substitute for MPRAGE, especially when
                      automatic brain segmentation is of interest and scan time is
                      limited.},
      keywords     = {Humans / Brain: diagnostic imaging / Brain: anatomy $\&$
                      histology / Male / Adult / Female / Algorithms / Magnetic
                      Resonance Imaging: methods / Image Processing,
                      Computer-Assisted: methods / Image Interpretation,
                      Computer-Assisted: methods / Reproducibility of Results /
                      Image Enhancement: methods / Signal-To-Noise Ratio /
                      Sensitivity and Specificity / UHF‐MRI (Other) / brain
                      segmentation (Other) / multi‐contrast (Other) /
                      multi‐parameter mapping (Other) / neuroimaging (Other) /
                      synthetic MPRAGE (Other)},
      cin          = {AG Stöcker},
      ddc          = {610},
      cid          = {I:(DE-2719)1013026},
      pnm          = {354 - Disease Prevention and Healthy Aging (POF4-354)},
      pid          = {G:(DE-HGF)POF4-354},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:39902546},
      pmc          = {pmc:PMC12021339},
      doi          = {10.1002/mrm.30453},
      url          = {https://pub.dzne.de/record/278071},
}