3D T1-weighted gradient echo imaging is a key component of the MRI assessment of the abdomen, particularly for the identification and characterization of liver tumors, however, significant acceleration is necessary to consistently mitigate respiratory motion artifact. A variable density Poisson disc undersampled acquisition with a densely connected iterative deep convolutional neural network reconstruction was developed to provide next-generation acceleration up to a factor of 10. On retrospectively undersampled data, the technique outperformed compressed sensing reconstruction in terms of normalized mean-squared error and structural similarity; with a prospectively undersampled scan, the technique maintained image quality in terms of artifact and contrast.
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