Automatic Segmentation of Brain Tissues and MR Bias Field Correction Using a Cigital Brain Atlas

This paper proposes a method for fully automatic segmentation of brain tissues and MR bias field correction using a digital brain atlas. We have extended the EM segmentation algorithm, including an explicit parametric model of the bias field. The algorithm interleaves classification with parameter estimation, yielding better results at every iteration. The method can handle multi-channel data and slice-per-slice constant offsets, and is fully automatic due to the use of a digital brain atlas.

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