Quantification and improvement of the signal-to-noise ratio in a magnetic resonance image acquisition procedure.
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[1] Athanasios Papoulis,et al. Probability, Random Variables and Stochastic Processes , 1965 .
[2] Electron Microscopy in Material Science , 1971 .
[3] U. Valdrè,et al. Electron microscopy in material science , 1971 .
[4] J. Frank,et al. Signal-to-noise ratio of electron micrographs obtained by cross correlation , 1975, Nature.
[5] Bruno O. Shubert,et al. Random variables and stochastic processes , 1979 .
[6] Rafael C. González,et al. Local Determination of a Moving Contrast Edge , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[7] R. Henkelman. Measurement of signal intensities in the presence of noise in MR images. , 1985, Medical physics.
[8] N. Bonnet. On the use of correlation functions for improving the image signal-to-noise ratio , 1988 .
[9] S. Holland. MRI: Acceptance testing and quality control—The role of the clinical medical physicist , 1989 .
[10] D. Ortendahl,et al. Measuring signal-to-noise ratios in MR imaging. , 1989, Radiology.
[11] Quantitative evaluation of the signal-to-noise ratio and of its improvement (or degradation) by digital filters , 1991 .
[12] B. Murphy,et al. Signal-to-noise measures for magnetic resonance imagers. , 1993, Magnetic Resonance Imaging.
[13] Tianhu Lei,et al. Statistical analysis of MR imaging and its applications in image modeling , 1994, Proceedings of 1st International Conference on Image Processing.
[14] Steve McLaughlin,et al. Comparative study of textural analysis techniques to characterise tissue from intravascular ultrasound , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.