Abstract #3291
Holistic Acceleration from Acquisition to Reconstruction for Submilimeter 3D MR Fingerprinting via Deep Learning
Yilin Liu1, Feng Cheng1, Yong Chen2, and Pew-Thian Yap3
1Computer Science, UNC-Chapel Hill, Chapel Hill, NC, United States, 2Radiology, Case Western Reserve University, Cleveland, OH, United States, 3Radiology, UNC-Chapel Hill, Chapel Hill, NC, United States
Synopsis
We developed a novel deep-learning empowered pipeline for both rapid acquisition and reconstruction of high-resolution 3D MRF with 16X acceleration, thereby significantly improving the clinical feasibility of MRF for quantitative imaging.
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