• Corpus ID: 235743110

Unsupervised learning of MRI tissue properties using MRI physics models

@article{Varadarajan2021UnsupervisedLO,
  title={Unsupervised learning of MRI tissue properties using MRI physics models},
  author={Divya Varadarajan and Katherine L. Bouman and Andr{\'e} J. W. van der Kouwe and Bruce R. Fischl and Adrian V. Dalca},
  journal={ArXiv},
  year={2021},
  volume={abs/2107.02704}
}
In neuroimaging, MRI tissue properties characterize underlying neurobiology, provide quantitative biomarkers for neurological disease detection and analysis, and can be used to synthesize arbitrary MRI contrasts. Estimating tissue properties from a single scan session using a protocol available on all clinical scanners promises to reduce scan time and cost, enable quantitative analysis in routine clinical scans and provide scan-independent biomarkers of disease. However, existing tissue… 

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