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- W2088780039 abstract "Estimating the true signal-to-noise ratio (SNR) of magnetic resonance (MR) images with low signal is confounded by the magnitude presentation of the data. This paper suggests a simple solution to this problem. A common method of measuring SNR compares the mean signal to the standard deviation of the noise. This SNR measure was found to be satisfactory for high but not low signal-to-noise image regions because of noise bias. These inconsistencies are removed by introducing unbiased definitions of the signal and noise levels in terms of their root-mean-square values. The approaches are compared by evaluating the SNR values for MR medical images." @default.
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- W2088780039 modified "2023-10-14" @default.
- W2088780039 title "An unbiased signal-to-noise ratio measure for magnetic resonance images" @default.
- W2088780039 doi "https://doi.org/10.1118/1.597004" @default.
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