Improving Single Shot Acquisitions with Fast Rotary Nonlinear Spatial Encoding

Spatial encoding with nonlinear magnetic fields has been studied recently, such as, O-Space imaging, Null Space imaging, PatLoc, 4D-RIO, etc. Previous nonlinear gradient encoding works have explored single shot trajectories in nonlinear magnetic fields, where the nonlinear gradients are just aiding the linear encoding. In this abstract, a scheme of fast rotary nonlinear spatial encoding, named as FRONSAC imaging, is proposed to improve highly under-sampled data obtained with linear gradients by adding nonlinear gradients with low amplitudes and fast oscillations. The linear gradients are applied on the three standard linear encoding fields and the fast rotary gradients are applied on two second-order encoding fields. Images are reconstructed by Kaczmarz algorithm. The simulation results illustrate the proposed scheme can greatly aid many highly under-sampled linear trajectories, and improve image quality in accelerated data acquisitions.

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