Graded image segmentation of brain tissue in the presence of inhomogeneous radio frequency fields.

@article{Mason2002GradedIS,
  title={Graded image segmentation of brain tissue in the presence of inhomogeneous radio frequency fields.},
  author={Graeme F. Mason and Douglas L. Rothman},
  journal={Magnetic resonance imaging},
  year={2002},
  volume={20 5},
  pages={431-6}
}
Image segmentation is used increasingly to interpret MR spectroscopic data of the brain, using image contrast to identify gray matter (GM), white matter (WM), and cerebral spinal fluid (CSF). T(1)- or T(2)-weighted images are typically used, but poor shimming, susceptibility effects, and small variations in B(1) and receptivity cause difficulties in tissue identification. Quantitative imaging of T(1) can reduce many of these difficulties but is still subject to complications when B(1) has large… CONTINUE READING