A Fast and Automatic Method to Correct Intensity Inhomogeneity in MR Brain Images.

Authors :: Larsen, Rasmus
Nielsen, Mads
Sporring, Jon
Zujun Hou
Su Huang
Qingmao Hu
Nowinski, Wieslaw L.
Source :: Medical Image Computing & Computer-Assisted Intervention - MICCAI 2006 (9783540447276); 2006, p324-331, 8p
Publication Year :: 2006
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. [ABSTRACT FROM AUTHOR]

Language :: English
ISBNs :: 9783540447276
Database :: Complementary Index
Journal :: Medical Image Computing & Computer-Assisted Intervention - MICCAI 2006 (9783540447276)
Publication Type :: Book
Accession number :: 32938082
Full Text :: https://doi.org/10.1007/11866763_40

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