Magnetic resonance image tissue classification using a partial volume model.

@article{Shattuck2001MagneticRI,
  title={Magnetic resonance image tissue classification using a partial volume model.},
  author={David W. Shattuck and S. R. Sandor-Leahy and K A Schaper and David A. Rottenberg and Richard M. Leahy},
  journal={NeuroImage},
  year={2001},
  volume={13 5},
  pages={856-76}
}
We describe a sequence of low-level operations to isolate and classify brain tissue within T1-weighted magnetic resonance images (MRI). Our method first removes nonbrain tissue using a combination of anisotropic diffusion filtering, edge detection, and mathematical morphology. We compensate for image nonuniformities due to magnetic field inhomogeneities by fitting a tricubic B-spline gain field to local estimates of the image nonuniformity spaced throughout the MRI volume. The local estimates… CONTINUE READING
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