Statistical noise analysis in GRAPPA using a parametrized noncentral Chi approximation model.

Abstract

The characterization of the distribution of noise in the magnitude MR image is a very important problem within image processing algorithms. The Rician noise assumed in single-coil acquisitions has been the keystone for signal-to-noise ratio estimation, image filtering, or diffusion tensor estimation for years. With the advent of parallel protocols such as… (More)
DOI: 10.1002/mrm.22701

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