Abstract #1108

Fast 3D MR Fingerprinting with Pseudorandom Cartesian Sampling

Yun Jiang¹, Gregor Körzdörfer^2,3, Jesse I. Hamilton⁴, Bo Zhao⁵, Lawrence L. Wald⁵, Nicole Seiberlich⁴, Vikas Gulani^1,4, Mathias Nittka², and Mark Griswold^1,4

¹Radiology, Case Western Reserve University, Cleveland, OH, United States, ²Siemens Healthcare GmbH, Erlangen, Germany, ³Friedrich‐Alexander‐Universität Erlangen‐Nürnberg, Erlangen, Germany, ⁴Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, ⁵Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States

A 3D Magnetic Resonance Fingerprinting method based on the pseudorandom Cartesian sampling was proposed to achieve isotropic high-resolution T₁, T₂ and off-resonance quantification. Compared to existing MRF methods based on non-Cartesian sampling patterns, the proposed method demonstrates a flexible sampling framework that is less susceptible to imperfections of the imaging gradients and off-resonance effects. It provides a step forward to a robust and high-resolution isotropic MRF method in brain, musculoskeletal and abdominal imaging.

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