Compensation of spatial inhomogeneity in MRI based on a parametric bias estimate

  • Christian Brechbühler
  • Guido Gerig
  • Gábor Székely
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1131)

Abstract

A novel bias correction technique is proposed based on the estimation of the parameters of a polynomial bias field directly from image data. The procedure overcomes difficulties known from homomorphic filtering or from techniques assuming an initial presegmented image. The only parameters are a set of expected class means and the standard deviation. Applications to various MR images illustrate the performance.

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Copyright information

© Springer-Verlag 1996

Authors and Affiliations

  • Christian Brechbühler
    • 1
  • Guido Gerig
    • 1
  • Gábor Székely
    • 1
  1. 1.Communication Technology LaboratoryETH-ZentrumZurichSwitzerland

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