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Purpose
To develop a machine learning approach using convolutional neural network for reducing MRI Gibbs‐ringing artifact.
Theory and Methods
Gibbs‐ringing artifact in MR images is caused by insufficient sampling of the high frequency data. Existing methods exploit smooth constraints to reduce intensity oscillations near sharp edges at the cost of blurring details. In this work, we developed a...
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