Image registration using a symmetric prior--in three dimensions.

  title={Image registration using a symmetric prior--in three dimensions.},
  author={John Ashburner and Jesper Leif Roger Andersson and Karl J. Friston},
  journal={Human brain mapping},
  volume={9 4},
This paper describes a Bayesian method for three-dimensional registration of brain images. A finite element approach is used to obtain a maximum a posteriori estimate of the deformation field at every voxel of a template volume. The priors used by the MAP estimate penalize unlikely deformations and enforce a continuous one-to-one mapping. The deformations are assumed to have some form of symmetry, in that priors describing the probability distribution of the deformations should be identical to… CONTINUE READING
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