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Compensation of spatial inhomogeneity in MRI based on a multi-valued image model and a parametric bias estimate

C. Brechbühler, G. Gerig and G. Székely
Visualization in Biomedical Computing, Proc. VBC '96
September 1996

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.

Download in postscript format
@InProceedings{eth_biwi_00077,
  author = {C. Brechb\"uhler and G. Gerig and G. Székely},
  title = {Compensation of spatial inhomogeneity in MRI based on a multi-valued image model and a parametric bias estimate},
  booktitle = {Visualization in Biomedical Computing, Proc. VBC '96},
  year = {1996},
  month = {September},
  pages = {141 -- 146},
  editor = {Höhne and Karl Heinz and Kikinis and Ron},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer Verlag Heidelberg-New York},
  keywords = {medical image analysis, fitting, MR imaging, non-linear, optimization, bias correction, inhomogeneity}
}