Abstract #3240

Improved Radial Sampling using Wave-CAIPI

Weiran Deng¹, Michael Herbst¹, and V Andrew Stenger¹

¹University of Hawaii JABSOM, Honolulu, HI, United States

This abstract presents a method that applies sine waveforms to the imaging gradients in radial sampling. This concept is similar controlled aliasing in Parallel Imaging (CAIPI). It enhances the encoding power of coil sensitivities by introducing spatially varying convoultion. Improvement in image quality are observed in images reconstructed from undersampled (R=8) wave-radial data compared to images from undersampled (R=8) radial data acquired at 3T.

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