Abstract
The assessment of diagnostic image quality for MRI is considered. The assessment of three key image quality determinants is addressed: signal, noise and contrast. There is a distinction between random noise evaluation, for the calculation of the SNR, and structured noise evaluation for the assessment of image artefacts. Specific methods used are correlation techniques and the Wiener spectrum. Contrast is assessed by comparison of experimental data and theoretical predictions. For each assessment, the theory and method of the evaluation strategy are discussed. The discussion is illustrated with analysis results from commercial MR systems. The choice of analysis method and the subsequent derivation of quality indices are shown to be critical in respect of robustness and accuracy.
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De Wilde, J.P., Lunt, J.A. & Straughan, K. Information in magnetic resonance images: evaluation of signal, noise and contrast. Med. Biol. Eng. Comput. 35, 259–265 (1997). https://doi.org/10.1007/BF02530047
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DOI: https://doi.org/10.1007/BF02530047