Magnetic resonance image analysis by information theoretic criteria and stochastic site models

  title={Magnetic resonance image analysis by information theoretic criteria and stochastic site models},
  author={Yue Joseph Wang and T{\"u}lay Adali and Jianhua Xuan and Zsolt Szabo},
  journal={IEEE Transactions on Information Technology in Biomedicine},
Quantitative analysis of magnetic resonance (MR) images is a powerful tool for image-guided diagnosis, monitoring, and intervention. The major tasks involve tissue quantification and image segmentation where both the pixel and context images are considered. To extract clinically useful information from images that might be lacking in prior knowledge, the authors introduce an unsupervised tissue characterization algorithm that is both statistically principled and patient specific. The method… CONTINUE READING
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