High‐fidelity direct contrast synthesis from magnetic resonance fingerprinting
High‐fidelity direct contrast synthesis from magnetic resonance fingerprinting
This work was aimed at proposing a supervised learning-based method that directly synthesizes contrast-weighted images from the Magnetic Resonance Fingerprinting (MRF) data without performing quantitative mapping and spin-dynamics simulations.To implement our direct contrast synthesis (DCS) method, we deploy a conditional generative adversarial network (GAN) framework with a multi-branch U-Net as …