An unbiased parametric imaging algorithm for nonuniformly sampled biomedical system parameter estimation

@article{Feng1996AnUP,
  title={An unbiased parametric imaging algorithm for nonuniformly sampled biomedical system parameter estimation},
  author={David Dagan Feng and Sung-Cheng Huang and Zhizhong Wang and Dino Ho},
  journal={IEEE transactions on medical imaging},
  year={1996},
  volume={15 4},
  pages={512-8}
}
An unbiased algorithm of generalized linear least squares (GLLS) for parameter estimation of nonuniformly sampled biomedical systems is proposed. The basic theory and detailed derivation of the algorithm are given. This algorithm removes the initial values required and computational burden of nonlinear least regression and achieves a comparable estimation quality in terms of the estimates' bias and standard deviation. Therefore, this algorithm is particular useful in image-wide (pixel-by-pixel… CONTINUE READING

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