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An unbiased signal‐to‐noise ratio measure for magnetic resonance images

Medical Physics, 1993
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.
G, McGibney, M R, Smith
openaire   +2 more sources

Image-Adaptive Watermarking Using the Improved Signal to Noise Ratio

2006 International Conference on Computational Intelligence and Security, 2006
This paper presents a new perceptual quality metric (PQM), the improved signal to noise ratio (iSNR). The improvement is done in the following two aspects: 1) the SNR manifests much better performance in an image block of small size than in a whole image; 2) the average luminance and gradient information are added into the SNR. Next, a locally adaptive
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Signal-to-Noise and Contrast Ratio Enhancements by Quasi-Monochromatic Imaging

IEEE Transactions on Instrumentation and Measurement, 2009
Computed tomography (CT) exams provide orders of magnitude higher radiation than a single-view X-ray. The chance of getting cancer from X-ray radiation has been increasing by 1.5-2% at every CT exam. Therefore, decreasing the dose per CT exam is a major goal. The aims of this study were to find out how one can improve the signal-to-noise ratio (S/N) or
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An improvement of signal-to- noise ratio for phase image

2017
Aims and objectives: Transverse relaxation time ( T 2 ) is a time constant which includes only nuclear-nuclear interactions. T 2 * is a time constant including nuclear-nuclear interactions and static magnetic field ( B 0 ) inhomogeneity, which is affected by...
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Imaging Basics: Signal-to-Noise Ratio

2022
Val M. Runge, Johannes T. Heverhagen
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Signal-to-noise ratios in NMR imaging

Magnetic Resonance Imaging, 1982
Kevin F. King, P.R. Moran
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Ultrathin Sb2Se3 Nanowires for Polarimetric Imaging Photodetectors with a High Signal/Noise Ratio

Advanced Materials Interfaces, 2022
Songqing Zhang, Han Wang, Cailei Yuan
exaly  

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