Owing to hardware advancements, interest in low-field MRI system has increased recently. However, the imaging quality of low-field MRI is limited due to intrinsic low signal to noise ratio (SNR). Here we propose a deep-learning model to jointly denoise multi-contrast images using Noise2Noise training strategy. Our method can promote the SNRs of multi-contrast low-field images, and experiments show the effectiveness of the proposed strategy.
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