Recovering SWI‐filtered phase data using deep learning

To develop a deep neural network to recover filtered phase from clinical MR phase images to enable the computation of QSMs.Eighteen deep learning networks were trained to recover combinations of 13 SWI phase-filtering pipelines. SWI-filtered data were computed offline from five multiorientation, multiecho MRI scans yielding 132 3D volumes (118/7/7 training/validation/testing). Two experiments were conducted to show the efficacy of the networks....