Abstract
This paper presents a method to improve the semi-automatic method for intensity inhomogeneity correction by Dawant et al. through introducing a fully automatic approach to reference points generation, which is based on order statistics and integrates information from the fine to coarse scale representations of the input image. The method has been validated and compared with two popular methods, N3 and BFC. Advantages of the proposed method are demonstrated. © Springer-Verlag Berlin Heidelberg 2006.
Cite
CITATION STYLE
Hou, Z., Huang, S., Hu, Q., & Nowinski, W. L. (2006). A fast and automatic method to correct intensity inhomogeneity in MR brain images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4191 LNCS-II, pp. 324–331). Springer Verlag. https://doi.org/10.1007/11866763_40
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