Unified segmentation.

نویسندگان

  • John Ashburner
  • Karl J Friston
چکیده

A probabilistic framework is presented that enables image registration, tissue classification, and bias correction to be combined within the same generative model. A derivation of a log-likelihood objective function for the unified model is provided. The model is based on a mixture of Gaussians and is extended to incorporate a smooth intensity variation and nonlinear registration with tissue probability maps. A strategy for optimising the model parameters is described, along with the requisite partial derivatives of the objective function.

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عنوان ژورنال:
  • NeuroImage

دوره 26 3  شماره 

صفحات  -

تاریخ انتشار 2005