Zhengguo Tan

Zhengguo Tan, PhD

Assistant Research Scientist, Radiology
Radiology
Med Sci I, Rm 3111
1301 Catherine St.
Ann Arbor, MI 48109
734-998-1238

Biography

My research experience in the field of magnetic resonance imaging (MRI) spans (1) pulse sequence programming, including non-Cartesian sampling and echo-planar imaging, (2) computational imaging with inverse problems and deep learning, and (3) clinical translation, including real-time blood flow quantification, free-breathing liver fat and T2* quantification, and high-resolution motion-robust diffusion-weighted MRI. My research had been funded by German Research Foundation (DFG) and awarded two times summa cum laude from International Society for Magnetic Resonance in Medicine (ISMRM).

I have been contributing to the development of two renowned open-source image reconstruction toolboxes, BART and SigPy. I have been lecturer on (1) "Computational Imaging Projects", the medical engineering master students core course at the University of Erlangen-Nuremberg, covering advanced deep learning image reconstruction techniques, and (2) "Practical Reconstruction Implementation", part of the ISMRM 2022 weekend course on "Image Reconstruction: Theory, Methods & Practical Considerations".

My current research focuses on the developments of efficient diffusion imaging and multi parametric mapping techniques for neuro and body imaging applications.

Credentials

Training

  • Ph.D., Medical Physics, University of Göttingen & Max Planck Institute, Germany, 2016
  • M.Sc., Biomedical Engineering, Duke University, Durham, NC, 2012

Published Articles or Reviews

Selected Publications

  1. Tan Z, Liebig PA, Heidemann RM, Laun FB, Knoll F. Accelerated Diffusion Weighted Magnetic Resonance Imaging at 7T: Joint Reconstruction for Shift-Encoded Navigator-based Interleaved Echo Planar Imaging (JETS-NAViEPI). Imaging Neuroscience 2024;2:1-15.
  2. Tan Z, Unterberg-Buchwald C, Blumenthal M, Scholand N, Schaten P, Holme HCM, Wang X, Raddatz D, Uecker M. Free-breathing liver fat, R2*, and B0 field mapping using multi-echo radial FLASH and regularized model-based reconstruction. IEEE Transactions on Medical Imaging 2023;42:1374-1387.
  3. Tan Z, Voit D, Kollmeier JM, Uecker M, Frahm J. Dynamic water/fat separation and B0 inhomogeneity mapping - Joint estimation using triple-echo multi-spoke radial FLASH. Magnetic Resonance in Medicine 2019;82:1000-1011.
  4. Tan Z, Hohage T, Kalentev O, Joseph AA, Wang X, Voit D, Merboldt KD, Frahm J. An eigenvalue approach for the automatic scaling of unknowns in model-based reconstructions: application to real-time phase-contrast flow MRI. NMR in Biomedicine 2017;30:e3835.
  5. Tan Z, Roeloffs V, Voit D, Joseph AA, Untenberger M, Merboldt KD, Frahm J. Model-based reconstruction for real-time phase-contrast flow MRI: improved spatiotemporal accuracy. Magnetic Resonance in Medicine 2017;77:1082-1093.
  6. Untenberger M#, Tan Z#, Voit D, Joseph AA, Roeloffs V, Merboldt KD, Schätz S, Frahm J. Advances in real-time phase-contrast flow MRI using asymmetric radial gradient echoes. Magnetic Resonance in Medicine 2016;75:1901-1908. (# Equal Contribution)

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