To reduce artifacts in free breathing single-shot diffusion MRI of the liver, UNet based convolutional neural networks were trained to predict breath-hold data from free-breathing data using: 1) simulated data based on a digital phantom and 2) 31 scans of a healthy volunteer. The developed networks successfully reduced motion induced artifacts in DWI images.
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