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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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