The implementation of shimming relies on phase unwrapping techniques to measure the underlying field inhomogeneity. This work presents a simple and effective deep learning based phase unwrapping method to accelerate the field mapping stage for shimming applications. The method significantly reduces the compulational time and shows similar performance compared to the conventional path-following method for shimming applications.
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