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• W2009759871 abstract "Magnetic resonance imaging (MRI) reconstruction techniques are often validated with signal-to-noise ratio (SNR), contrast-to-noise ratio, and mean-to-standard-deviation ratio measured on example images. We present human and model observers as a novel approach to evaluating reconstructions for low-SNR magnetic resonance (MR) images. We measured human and channelized Hotelling observers in a two-alternative forced-choice signal-known-exactly detection task on synthetic MR images. We compared three reconstructions: magnitude, wavelet-based denoising, and phase-corrected real. Human observers performed approximately equally using all three reconstructions. The model observer showed very close agreement with the humans over the range of images. These results contradict previous predictions in the literature based on SNR. Thus, we propose that human observer studies are important for validating MRI reconstructions. The model's performance indicates that it may provide an alternative to human studies" @default.
• W2009759871 created "2016-06-24" @default.
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• W2009759871 date "2006-11-01" @default.
• W2009759871 modified "2023-10-18" @default.
• W2009759871 title "Using Human and Model Performance to Compare MRI Reconstructions" @default.
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• W2009759871 doi "https://doi.org/10.1109/tmi.2006.881374" @default.
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