Existing techniques for 3D MR fingerprinting focus on accelerating either acquisition or template matching, with typically limited spatial resolution. We develop a 3D MRF sequence coupled with a novel end-to-end deep learning image reconstruction framework for rapid and simultaneous whole-brain quantification of T1 and T2 relaxation times with isotropic submillimeter spatial resolution. We demonstrate feasibility with both retrospectively and prospectively accelerated 3D MRF data.
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