Traditional MRI imaging involves injecting gadolinium-diethylenetriamine pentaacetic acid (Gd-DTPA) , a pure substance that induces contrast to highlight inflammation and blood vessels in MRI images, proven to increase accuracy in radiologic diagnosis. We present a 2D V-net image contrast generation model that accurately predicts Gd-DTPA induced contrast from corresponding images without Gd-DTPA induced contrast.
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