Medical Imaging and Information Sciences
Online ISSN : 1880-4977
Print ISSN : 0910-1543
ISSN-L : 0910-1543
Invited Review Article
Image processing for MRI
Seiji KUMAZAWA, Akihiro KIKUCHI, Go OKUYAMA, Masataka KITAMA
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Keywords: ntensity inhomogeneity correction, Segmentation, Registration
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2015 Volume 32 Issue 4 Pages vi-x

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Abstract
Magnetic resonance imaging （MRI） can provide valuable information based on the various contrast mechanisms. To analyze information derived from MRI data, image processing techniques are applied as preprocessing. The aims of this article are to introduce widely used image processing techniques and to promote interests for further study and research in image processing for MRI.
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© 2015 by Japan Society of Medical Imaging and Information Sciences
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