11 Aug 2022
online event

Submillimeter-isotropic-resolution diffusion MRI (dMRI) has shown great potential for characterizing white-/gray-matter. In this work, we developed an SNR-efficient gSlider-BUDA circular-EPI acquisition with structured low-rank reconstruction, to achieve high-fidelity diffusion MRI at sub-millimeter isotropic resolution. Using the proposed technique, we demonstrate high-fidelity whole-brain 0.50mm-isotropic-resolution dMRI with TE of 66ms, and ~40% reduction in the echo-train-length and T2* blurring when compared to typical highly accelerated EPI acquisitions.


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Discussion points of the webinar:

  • What are the key challenges of high resolution in-vivo diffusion MRI?
  • What are the principal advantages of simultaneous multi-slab acquisition for high-resolution diffusion MRI?
  • How do we optimize the acquisition and reconstruction scheme to achieve high-fidelity diffusion MRI at sub-millimeter isotropic resolution?

Relevant Literature:

  • Wilm, B.J., Barmet, C., Pavan, M., Pruessmann, K.P., 2011. Higher order reconstruction for MRI in the presence of spatiotemporal field perturbations. Magnetic Resonance in Medicine 65, 1690–1701.
  • B. J. Wilm et al., “Diffusion MRI with concurrent magnetic field monitoring” Magn. Reson. Med., vol. 74, no. 4, pp. 925–933, Oct. 2015,
  • S.Feizollah and C. L. Tardif, “High-resolution diffusion-weighted imaging at 7 Tesla: single-shot readout trajectories and their impact on signal-to-noise ratio, spatial resolution and accuracy,” arXiv, Jul. 2022,
  • B. J. Wilm et al., “High-Resolution Single-Shot Spiral Imaging using Magnetic Field Monitoring and its Application to Diffusion Weighted MRI”, Poster 0995 Proc. Intl. Soc. Mag. Reson. Med. 23 (2015),
  • Y. Lee et al., “On the signal‐to‐noise ratio benefit of spiral acquisition in diffusion MRI,” Magn Reson Med, p. mrm.28554, Dec. 2020,

Congyu Liao, PhD

Stanford University

Congyu Liao is an Instructor in the Department of Radiology at the Stanford University School of Medicine. Dr. Liao received his PhD in Biomedical Engineering from Zhejiang University in China in 2018. Following the completion of his PhD, he was appointed Postdoctoral Research Fellow at Massachusetts General Hospital/Harvard Medical School under Kawin Setsompop, PhD, where his research was focused on improving the efficiency of data acquisition/reconstruction in MRI. In 2021, he came to Stanford to join Dr. Setsompop’s lab as a Postdoctoral Scholar where his research is focused on developing new technology for diffusion and quantitative MRI. Dr. Liao has received many awards including the Summa Cum Laude Merit Award and the Junior Fellow Award from the International Society for Magnetic Resonance in Medicine.