Conditional Random Fields for brain tissue segmentation

  title={Conditional Random Fields for brain tissue segmentation},
  author={Chris S. Magnano and Ameet Soni and Sriraam Natarajan and Gautam Kunapuli},
Current atlas-based methods for MRI analysis assume brain images map to a “normal” template. This assumption, however, does not hold when analyzing abnormal brain shapes or disease states. We propose a discriminative-graphical model framework based on conditional random fields (CRFs) to mine MRI brain images. As a proof-of-concept, we apply CRFs to the problem of brain tissue segmentation. Experimental results show robust and accurate performance on tissue segmentation comparable to other state… CONTINUE READING

From This Paper

Topics from this paper.


Publications referenced by this paper.
Showing 1-10 of 27 references

Friston . Unified segmentation

  • John Ashburner, J. Karl
  • NeuroImage
  • 2005

Similar Papers

Loading similar papers…