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Wenchuan Wu

DPhil


Associate Professor

  • Research Fellow, Wolfson College

My research focuses on the development of new magnetic resonance imaging (MRI) acquisition and reconstruction methods, with the goal of helping better understand the brain structure and function. My research is supported by funding from the Royal Academy of Engineering and Wellcome Trust.

My current research program has several key themes:

  • Novel strategies for acquiring in vivo diffusion MRI at submillimeter resolution
  • Rapid mapping of brain connectivity and microstructure with joint k-q diffusion acceleration and reconstruction
  • Computational methods to reduce image artefacts in diffusion and functional MRI
  • Ultra-high field brain imaging
  • Post-mortem MRI of unfixed human brain

Key publications

Self-Navigated 3D Diffusion MRI Using an Optimized CAIPI Sampling and Structured Low-Rank Reconstruction Estimated Navigator

Journal article

Li Z. et al, (2025), IEEE Transactions on Medical Imaging, 44, 632 - 644

High-resolution diffusion imaging in the unfixed post-mortem infant brain at 7 T

Journal article

Wu W. et al, (2024), Imaging Neuroscience, 2

Diffusion Acceleration with Gaussian process Estimated Reconstruction (DAGER)

Journal article

Wu W. et al, (2019), Magnetic Resonance in Medicine, 82, 107 - 125

High-resolution diffusion MRI at 7T using a three-dimensional multi-slab acquisition

Journal article

Wu W. et al, (2016), NeuroImage, 143, 1 - 14

Recent publications

Submillimeter diffusion MRI using an in-plane segmented 3D multi-slab acquisition and denoiser-regularized reconstruction

Journal article

Li Z. et al, (2026), Medical Image Analysis, 107, 103834 - 103834

Ultra‐high temporal resolution 4D angiography using arterial spin labeling with subspace reconstruction

Journal article

Shen Q. et al, (2025), Magnetic Resonance in Medicine, 93, 1924 - 1941

Self-Navigated 3D Diffusion MRI Using an Optimized CAIPI Sampling and Structured Low-Rank Reconstruction Estimated Navigator

Journal article

Li Z. et al, (2025), IEEE Transactions on Medical Imaging, 44, 632 - 644

More publications