Abstract #4422

Advanced Quadratic RF Phase Selective Encoding through Nutation and Fingerprinting (qRF-SENF) for Gradient-Free Quantitative Imaging

Christopher Vaughn^1,2, N Reid Bolding³, Mark Griswold⁴, and William Grissom⁵

¹Biomedical Engineering, Vanderbilt University, Nashville, TN, United States, ²Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, United States, ³Physics, Case Western Reserve University, Cleveland, OH, United States, ⁴Radiology, Case Western Reserve University, Cleveland, OH, United States, ⁵Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States

Synopsis

Keywords: Quantitative Imaging, Quantitative Imaging

Motivation: Eliminate the need for B₀ gradients and improve the efficiency of quantitative imaging.

Goal(s): To develop an advanced approach for gradient-free quantitative imaging called Quadratic RF Phase Selective Encoding through Nutation and Fingerprinting (qRF-SENF).

Approach: Design an improved sequence for qRF-SENF that increases sensitivities to off-resonance and relaxation parameters. Validate the advanced approach with a 1D experiment. Evaluate the SNR efficiency of the approach in simulation.

Results: Successfully validated an improved sequence for qRF-SENF with a 1D experiment that differentiates between two materials. Simulations of SNR efficiency show the advanced approach has sufficient SNR for current and future experiments.

Impact: Selective Encoding through Nutation and Fingerprinting (SENF) is a gradient-free quantitative imaging technique that simultaneously encodes spatial and quantitative information with the potential to be implemented on low-cost MRI scanners with flexible magnet design and acquisition strategies.

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