Weighted linear least squares estimation of diffusion MRI parameters: Strengths, limitations, and pitfalls

@article{Veraart2013WeightedLL,
  title={Weighted linear least squares estimation of diffusion MRI parameters: Strengths, limitations, and pitfalls},
  author={Jelle Veraart and Jan Sijbers and Stefan Sunaert and Alexander Leemans and Ben Jeurissen},
  journal={NeuroImage},
  year={2013},
  volume={81},
  pages={
          335-346
        }
}
PURPOSE Linear least squares estimators are widely used in diffusion MRI for the estimation of diffusion parameters. Although adding proper weights is necessary to increase the precision of these linear estimators, there is no consensus on how to practically define them. In this study, the impact of the commonly used weighting strategies on the accuracy and precision of linear diffusion parameter estimators is evaluated and compared with the nonlinear least squares estimation approach… CONTINUE READING