Publications

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

Search for Publication


Year(s) from:  to 
Author:
Keywords (separated by spaces):

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}
}