@inproceedings{610fcaffc5a447d9b35ee329ddb0ebf7,
title = "Compensation of spatial inhomogeneity in MRI based on a parametric bias estimate",
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 homomor-phic 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.",
author = "Christian Brechb{\"u}hler and Guido Gerig and G{\'a}bor Sz{\'e}kely",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 1996.; 4th International Conference on Visualization in Biomedical Computing, VBC 1996 ; Conference date: 22-09-1996 Through 25-09-1996",
year = "1996",
doi = "10.1007/bfb0046948",
language = "English (US)",
isbn = "3540616497",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "141--146",
editor = "Hohne, {Karl Heinz} and Ron Kikinis",
booktitle = "Visualization in Biomedical Computing - 4th International Conference, VBC 1996, Proceedings",
}