Combination Use of Compressed Sensing and Deep Learning for Shoulder Magnetic Resonance Imaging with Various Sequences.
Journal of computer assisted tomography（2023）
Key words
retrospective studies,signal-to-noise ratio,shoulder,deep learning,magnetic resonance imaging,CNR,contrast-to-noise ratio,CS,compressed sensing,DLR,deep-learning-based reconstruction,FS-T2WI,fat-saturation T2-weighted images,FWHM,full width at half maximum,ROI,regions of interest,SD,standard deviation,SI,signal intensity,SNR,T1WI,T1-weighted images,T2WI,T2-weighted images,Wavelet method,wavelet-based denoising method
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