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For Breath-hold Whole Heart Coronary MRA, we developed the combination of Parallel Imaging and Compressed Sensing to accelerate scan time and Deep Learning reconstruction to improve the image quality. With the combination of these techniques, we could obtain Coronary MRA with 1.8mm isotropic acquisition voxel size in a possible breath-hold scan time. Deep Learning recon effectively improved the SNR and image quality.
Miyoshi et al. (Wed,) studied this question.
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