Coded Spatial Localization Using Rotating Nonlinear Sets of Gradient Fields and Continuous Readout

R. Todd Constable¹, Leo Tam¹, Jason Stockmann¹, Gigi Galiana¹

In this work, a novel approach to spatial encoding that uses nonlinear gradients to impose a unique code on each voxel in the image is introduced. The data is readout in a continuous manner as combinations of linear and nonlinear gradients rotate refocusing different regions of the image at different times. This approach may yield advantages in terms of imaging speed, acoustic noise, and reduced gradient dB/dt, all while providing a high SNR fast acquisition strategy.