Abstract #0669

Motion-compensated Diffusion MRI of Liver Using High-performance Gradients

Fan Liu¹, Wen Zhong¹, Yishi Wang², Sisi Li², Wushi Shao^1,3, Wenbo Lyu¹, Diwei Shi⁴, and Hua Guo¹

¹Center for Biomedical Imaging Research, School of Biomedical Engineering, Tsinghua University, Beijing, China, ²MR Research Collaboration Team, Siemens Healthineers Ltd., Beijing, China, ³Department of Nuclear Medicine, School of Clinical Medicine, Beijing Tsinghua Changgung Hospital, Tsinghua University, Beijing, China, ⁴Center for Nano and Micro Mechanics, Department of Engineering Mechanics, Tsinghua University, Beijing, China

Synopsis

Keywords: Diffusion Acquisition, Liver

Motivation: Motion-compensated diffusion gradient can reduce motion-induced signal dropout in liver DWI. However, it suffers from prolonged TE.

Goal(s): To improve SNR of motion-compensated liver DWI using high-performance gradients.

Approach: Optimized Diffusion‐Weighting Gradient Waveform Design (ODGD) was used to design M1-optimized gradient waveforms in normal-performance (G_max=80mT/m) and high-performance (G_max=200mT/m) gradient configurations. Liver DWI with designed waveforms was performed on human liver to measure Gaussian (b_max=800s/mm²) and non-Gaussian (b_max=1500s/mm²) diffusion.

Results: The advantage of shortened TE using high-performance gradients increased with target b-values. The high-performance gradients improved image SNR by 30.4% when measuring Gaussian diffusion, and 45.3% when measuring non-Gaussian diffusion.

Impact: Our study explored the potential of high-performance gradients in motion-compensated liver DWI. The improved SNR in measuring Gaussian/non-Gaussian diffusion provided more accurate evaluation of liver microstructure.

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