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International Journal of Biomedical Imaging
Volume 2006 (2006), Article ID 49515, 11 pages

A Review on MR Image Intensity Inhomogeneity Correction

Biomedical Imaging Lab., Singapore Bioimaging Consortium, 30 Biopolis Street, Matrix #07-01, Singapore 138671

Received 11 October 2005; Revised 18 January 2006; Accepted 17 February 2006

Copyright © 2006 Zujun Hou. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Intensity inhomogeneity (IIH) is often encountered in MR imaging, and a number of techniques have been devised to correct this artifact. This paper attempts to review some of the recent developments in the mathematical modeling of IIH field. Low-frequency models are widely used, but they tend to corrupt the low-frequency components of the tissue. Hypersurface models and statistical models can be adaptive to the image and generally more stable, but they are also generally more complex and consume more computer memory and CPU time. They are often formulated together with image segmentation within one framework and the overall performance is highly dependent on the segmentation process. Beside these three popular models, this paper also summarizes other techniques based on different principles. In addition, the issue of quantitative evaluation and comparative study are discussed.