Abstract #2556
DWI Gradient Optimization for Large Spatial Coverage
Jiazheng Wang 1 and Yongchuan Lai 2
1
STO-MR, GE Healthcare, Beijing, Beijing,
China,
2
STO-MR,
GE Healthcare, Beijing, China
Gradient heating and TE are two limiting and mutually
restrictive parameters in DWI scan. This work presents a
gradient optimization method to reduce gradient heating
without sacrificing TE, and quantitatively demonstrates
that the method can significantly increase the spatial
coverage in slice direction with diffusion imaging. In
addition, since this method utilizes diffusion gradients
with very short high-amplitude plateau, it theoretically
has less sensitivity to motion effects. The proposed
method also shows some benefits in eddy currents,
leading to sharper subtle structures due to reduced
distortion.
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