Preconditioned Stochastic Gradient Descent Optimisation for Monomodal Image Registration

@article{Klein2011PreconditionedSG,
  title={Preconditioned Stochastic Gradient Descent Optimisation for Monomodal Image Registration},
  author={Stefan Klein and Marius Staring and Patrik Andersson and Josien P. W. Pluim},
  journal={Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention},
  year={2011},
  volume={14 Pt 2},
  pages={549-56}
}
We present a stochastic optimisation method for intensity-based monomodal image registration. The method is based on a Robbins-Monro stochastic gradient descent method with adaptive step size estimation, and adds a preconditioning matrix. The derivation of the pre-conditioner is based on the observation that, after registration, the deformed moving image should approximately equal the fixed image. This prior knowledge allows us to approximate the Hessian at the minimum of the registration cost… CONTINUE READING
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