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
- 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.
- 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.
- 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.
- 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.
- 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.
- 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)