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...

詳細記述

書誌詳細

出版年:	IEEE Transactions on medical imaging 20, 12 (2001).
第一著者:	Likar, B.
フォーマット:	論文
言語:	English
主題:	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.