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Purpose
To enable a fast and automatic deep learning–based QSM reconstruction of tissues with diverse chemical shifts, relevant to most regions outside the brain.
Methods
A UNET was trained to reconstruct susceptibility maps using synthetically generated, unwrapped, multi‐echo phase data as input. The RMS error with respect to synthetic validation data was computed. The method was tested on two...
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