Adaptive , Nonparametric Markov Modeling for Unsupervised , MRI Brain-Tissue Classification

@inproceedings{Awate2006AdaptiveN,
  title={Adaptive , Nonparametric Markov Modeling for Unsupervised , MRI Brain-Tissue Classification},
  author={Suyash P. Awate and Tolga Tasdizen and Norman L. Foster and Ross T. Whitaker},
  year={2006}
}
This paper presents a novel method for brain-tissue classification in magnetic resonance (MR) images that relies on a very general, adaptive statistical model of image neighborhoods. The method models MR-tissue intensities as derived from stationary random fields. It models the associated higher-order statistics nonparametrically via a data-driven strategy. This paper describes the essential theoretical aspects underpinning adaptive, nonparametric Markov modeling and the theory behind the… CONTINUE READING

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