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Improvements of nmr image quality using adaptive nonlinear filter

✍ Scribed by Hidenobu Itagaki

Publisher
John Wiley and Sons
Year
1990
Tongue
English
Weight
555 KB
Volume
21
Category
Article
ISSN
0882-1666

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✦ Synopsis

Abstract

It is important to improve the quality of NMR images, since this significantly affects medical diagnosis. This paper describes an image processing to improve NMR images. It is important for such improvements to utilize the image property of interest. This paper shows that noises in an NMR image have a Rayleigh distribution (e. g., they have a spike shape). To reduce this type of noise, this paper proposes an adaptive nonlinear digital filter which is adaptive to isolated status of a noise based on its standard‐deviation distribution. This standard deviation of the noises is another feature of the NMR image. The usefulness of the proposed filter is confirmed by comparing this with conventional filters. Significant improvements of image quality using this filter are demonstrated by applying it to an NMR image of a human head.

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## Abstract Anisotropic diffusion filtering is widely used for MR image enhancement. However, the anisotropic filter is nonoptimal for MR images with spatially varying noise levels, such as images reconstructed from sensitivity‐encoded data and intensity inhomogeneity‐corrected images. In this work