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Visualization in Biomedical Computing

Volume 1131 of the series Lecture Notes in Computer Science pp 141-146

Date:

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

  • Christian BrechbühlerAffiliated withCommunication Technology Laboratory, ETH-Zentrum
  • , Guido GerigAffiliated withCommunication Technology Laboratory, ETH-Zentrum
  • , Gábor SzékelyAffiliated withCommunication Technology Laboratory, ETH-Zentrum

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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.