Parameter estimation for WMTI-Watson model of white matter using encoder-decoder recurrent neural network

@article{Diao2022ParameterEF,
  title={Parameter estimation for WMTI-Watson model of white matter using encoder-decoder recurrent neural network},
  author={Yujian Diao and Ileana O. Jelescu},
  journal={Magnetic resonance in medicine},
  year={2022}
}
  • Y. DiaoI. Jelescu
  • Published 1 March 2022
  • Computer Science
  • Magnetic resonance in medicine
PURPOSE Biophysical modeling of the diffusion MRI (dMRI) signal provides estimates of specific microstructural tissue properties. Although non-linear least squares (NLLS) is the most widespread fitting method, it suffers from local minima and high computational cost. Deep learning approaches are steadily replacing NLLS, but come with the limitation that the model needs to be retrained for each acquisition protocol and noise level. In this study, a novel fitting approach was proposed based on… 

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