Abstract #0371

Selective Encoding through Nutation and Fingerprinting (SENF): 1D Experimental Validation on a 47.5 mT Low-Field Scanner

Christopher E Vaughn^1,2, N Reid Bolding³, Mark A Griswold⁴, and William A Grissom^1,2

¹Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States, ²VUIIS, Vanderbilt University, Nashville, TN, United States, ³Physics, Case Western Reserve University, Cleveland, OH, United States, ⁴Radiology, Case Western Reserve University, Cleveland, OH, United States

Synopsis

B0 gradients have several problems including cost, bulkiness, noise, and PNS. We propose to use a method called Selective Encoding through Nutation and Fingerprinting (SENF) which is a RF spatial encoding technique that also encodes quantitative information. In this abstract we validate SENF on a 47.5 mT low-field scanner using a high-flip MR Fingerprinting type sequence with a gradient RF coil to perform a 4-voxel 1D reconstruction that can differentiate between three materials (mineral oil, water, and air).

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