368-06-008 ISMRM Abstract

Vibration-Optimized Oscillating Gradient dMRI Improves Image Fidelity and Reproducibility on an Ultra-high Gradient system

Primary: Diffusion - Diffusion Acquisition

Secondary: Physics & Engineering - Gradients

368-06-008 · Novel Gradients · Monday, 11 May, 5:05 PM–6:00 PM · Digital Posters Row I

Keywords: Gradients Ultra-strong gradients Time-dependent diffusion MRI Ultra High Performance Gradients OGSE

Accepted

Xingzhou Chen ¹, Liyi Kang¹, Haotian Li¹, Zhuming Shuai², Jiayu Zhu³, Jianmin Yuan³, Dan Wu¹

¹College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China

²Central Research Institute, United Imaging Healthcare, Shanghai, China

³Collaborative Innovation Department, United Imaging Health Care Group Co., Shanghai, China

Presenting Author: Xingzhou Chen

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References

1. Gudino N, Littin S. Advancements in gradient system performance for clinical and research MRI. Journal of Magnetic Resonance Imaging. 2023 Jan;57(1):57-70. https://doi.org/10.1002/jmri.28421 [doi]

2. Xu J, Li K, Smith RA, Waterton JC, Zhao P, Chen H, Does MD, Manning HC, Gore JC. Characterizing tumor response to chemotherapy at various length scales using temporal diffusion spectroscopy. PloS one. 2012 Jul 24;7(7):e41714. https://doi.org/10.1371/journal.pone.0041714 [doi]

3. Chen X, Li H, Shuai Z, Zhu J, Yuan J, Lin Z, Wu D. Optimization of Oscillating Diffusion Encoding Gradient Reduces Mechanical Vibration on Ultra-high Gradient System." https://doi.org/10.58530/2025/1326 [doi]

4. Wu D, Kang L, Li H, Ba R, Cao Z, Liu Q, Tan Y, Zhang Q, Li B, Yuan J. Developing an AI-empowered head-only ultra-high-performance gradient MRI system for high spatiotemporal neuroimaging. NeuroImage. 2024 Apr 15;290:120553. https://doi.org/10.1016/j.neuroimage.2024.120553 [doi]

5. Aliotta E, Wu HH, Ennis DB. Convex optimized diffusion encoding (CODE) gradient waveforms for minimum echo time and bulk motion–compensated diffusion‐weighted MRI. Magnetic resonance in medicine. 2017 Feb;77(2):717-29. https://doi.org/10.1002/mrm.26166 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/368-06-008