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).
This abstract and the presentation materials are available to members only; a login is required.