Retrospective correction of MR intensity inhomogeneity by information minimization.

In this paper, the problem of retrospective correction of intensity inhomogeneity in magnetic resonance (MR) images is addressed. A novel model-based correction method is proposed, based on the assumption that an image corrupted by intensity inhomogeneity contains more information than the correspon...

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发表在:	IEEE Transactions on medical imaging 20, 12 (2001).
主要作者:	Likar, B.
格式:	文件
语言:	英语
主题:	MR image analysis. Corrupted image. Global intensity statistic preservation. Image degradation model. Information minimization. Magnetic resonance imaging. Medical diagnostic imaging. Model parameters. Model-based correction method. Nonuniformity correction. Parameter setting. Retrospective MR intensity inhomogeneity correction. Smoothly varying basis functions. User interaction.