Pattern Recognition and Signal Analysis in Medical Imaging

  • Meyer-Baese A
  • Schmid V
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This chapter covers spatial approaches for three different types of temporal models: linear, nonlinear, and nonparametric models. Assuming a global spatial smoothness is typically not appropriate for medical images and locally adaptive smoothing allows to retain sharp features and borders in the images.

Author-supplied keywords

  • Contrast-enhanced MRI
  • Functional MRI
  • Hierarchical Bayesian models
  • Latent Markov random fields
  • Nonlinear regression
  • Nonparametric modeling
  • Spatial statistics
  • Spatio-temporal models

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  • Anke Meyer-Baese

  • Volker Schmid

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