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The rician distribution of noisy mri data

Magnetic Resonance in Medicine · 1995 · Vol. 34(6) · pp. 910–914
Hákon GuðbjartssonSamuel Patz

Abstract

The image intensity in magnetic resonance magnitude images in the presence of noise is shown to be governed by a Rician distribution. Low signal intensities (SNR < 2) are therefore biased due to the noise. It is shown how the underlying noise can be estimated from the images and a simple correction scheme is provided to reduce the bias. The noise characteristics in phase images are also studied and shown to be very different from those of the magnitude images. Common to both,however, is that the noise distributions are nearly Gaussian for SNR larger than two.

Medical Image Segmentation TechniquesImage and Signal Denoising MethodsSeismic Imaging and Inversion TechniquesRician fadingNoise (video)Gaussian noiseMagnitude (astronomy)Distribution (mathematics)GaussianSignal-to-noise ratio (imaging)Intensity (physics)SIGNAL (programming language)Nuclear magnetic resonance

MeSH terms

Computer SimulationFourier AnalysisHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingNormal DistributionArtifacts
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References
Probability, Random Variables, and Stochastic Processes.
Journal of the American Statistical Association · 1984 · 16,350 citations
The intrinsic signal‐to‐noise ratio in NMR imaging
Magnetic Resonance in Medicine · 1986 · 753 citations
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