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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