Kawin Setsompop1, Jason Stockmann1, Qiuyun Fan1, Thomas Witzel1, and Lawrence L. Wald1
In
this work, we propose generalized Slider (gSlider) method which utilizes RF
encoding to markedly improve the ability of slice super-resolution in acquiring
a large number of imaging slices simultaneously in diffusion imaging, to increase
volume encoding and SNR. In particular, we show that gSlider can be use to acquire
5 slices simultaneously to provide close to the theoretical √5 SNR gain, while retaining
sharp slice/partition resolution, comparable to that of conventional 2-D slice-selective
imaging. Through a combined gSlider-SMS acquisition (5x-gSlider and MB-2), we demonstrate
a highly efficient 10 simultaneous slice acquisition for high quality
whole-brain 660μm isotropic diffusion imaging.