The effect of transmit field (B1+) inhomogeneity at 7T remains even after correction using a B1+-map. By a deep learning approach using pix2pix, a neural network was trained to generate 3T-like anatomical images from 7T MP2RAGE images (dataset 1: T1WI and T1-map after B1+ correction and dataset 2: Inversion time [INV]1, INV2 and B1+-map). When the HCP anatomical pipeline was applied and compared, low regressions of original 7T data to 3T data were largely improved by using generated images by pix2pix, especially for dataset 2.
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