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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© 1996 Springer-Verlag Berlin Heidelberg
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Brechbühler, C., Gerig, G., Székely, G. (1996). Compensation of spatial inhomogeneity in MRI based on a parametric bias estimate. In: Höhne, K.H., Kikinis, R. (eds) Visualization in Biomedical Computing. VBC 1996. Lecture Notes in Computer Science, vol 1131. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0046948
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DOI: https://doi.org/10.1007/BFb0046948
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