Changyu Sun, PhD


Dr. Sun is an MRI researcher interested in developing novel strategies for rapid MRI acquisition, accurate reconstruction and analysis. The current research focuses on developing novel physics- and data-driven methods using deep learning, parallel imaging, non-Cartesian sampling and compressed sensing for cardiopulmonary applications. The goals of his research are to develop fast, accurate and automatic MRI workflow for diagnosis and treatment of cardiopulmonary diseases.

Academic Information

Assistant Professor


1101 Hospital Drive NextGen
NextGen Precision Health Insitutue
Columbia, MO 65211
United States

Research Interests

  • Developing data-driven and physics-driven MRI methods
  • Improving diagnosis and treatment of cardiopulmonary diseases

Areas of Expertise

  • Magnetic Resonance Imaging
  • Artificial Intelligence
  • Image reconstruction
  • Image analysis
  • Rapid MRI
  • Cardiac MRI


Education & Training


2015 PhD, INSA de Lyon

Awards & Honors

  • 2020 ISMRM Magna Cum Laude Merit Award


  • Sun, C.Y., Robinson, A., Wang, Y., Bilchick, K.C., Kramer, C.M., Weller, D., Salerno, M., Epstein, F.H.,
    A Slice-Low-Rank Plus Sparse (slice-L + S) Reconstruction Method for k-t Undersampled Multiband First-Pass Myocardial Perfusion MRI.
    Magnetic Resonance in Medicine, 88, 1140–1155, 2022.
  • Auger, D., Ghadimi, S., Cai, X.Y., Reagan, C.E., Sun, C.Y., Abdi, M., Cao, J.J., Cheng, J.Y., Ngai, N., Scott, A.D., Ferreira, P.F., Oshinski, J.N., Emamifar, N., Ennis, D.B., Loecher, M., Liu, Z.Q., Croisille, P., Viallon, M., Bilchick, K., Epstein, F.H.
    Reproducibility of global and segmental myocardial strain using cine DENSE at 3 T: a multicenter cardiovascular magnetic resonance study in healthy subjects and patients with heart disease
    Journal of Cardiovascular Magnetic Resonance, 24:23, 2022.
  • Abdi, M., Feng, X., Sun, C.Y., Bilchick, K., Meyer, C.H., Epstein, F.H.
    Suppression of artifact‐generating echoes in cine DENSE using deep learning.
    Magnetic Resonance in Medicine, 86, 2095-2104, 2021.
  • Ghadimi, S., Auger, D., Feng, X., Sun, C.Y., Meyer, C.H., Bilchick, K., Cao, J.J., Scott, A.D., Oshinski, J.N., Ennis, D.B., Epstein, F.H.
    Fully-automated global and segmental strain analysis of DENSE cardiovascular magnetic resonance using deep learning for segmentation and phase unwrapping.
    Journal of Cardiovascular Magnetic Resonance, 23, 1-13, 2021.
  • Gao, X., Abdi, M., Auger, D., Sun, C.Y., Hanson, C.A., Robinson, A.A., Schumann, C., Oomen, P.J., Ratcliffe, S., Malhotra, R., Darby, A., Monfredi, O.J., Mangrum, J.M., Mason, P., Mazimba, S., Holmes, J.W., Kramer, C.M., Epstein, F.H., Salerno, M., Bilchick, K.
    Cardiac Magnetic Resonance Assessment of Response to Cardiac Resynchronization Therapy and Programming Strategies
    JACC: Cardiovascular Imaging, 14, 2369-2383, 2021.
  • Sun, C.Y., Yang, Y., Cai, X.Y., Salerno, M., Meyer, C.H., Weller, D., Epstein, F.H.
    Non-Cartesian slice-GRAPPA and slice-SPIRiT reconstruction methods for multiband spiral cardiac MRI.
    Magnetic Resonance in Medicine, 83, 1235-1249, 2020.
  • Bilchick, K., Auger, D., Abdishektaei, M., Mathew, R., Sohn, M.W., Cai, X.Y., Sun, C.Y., Narayan, A., Malhotra, R., Darby, A., Mangrum, J.M., Mehta, N., Ferguson, J., Mazimba, S., Mason, P., Kramer, C.M., Levy, W., Epstein, F.H.
    Combination of CMR DENSE Strain Imaging and the Seattle Heart Failure Model for Prediction of Long-Term Survival Free of Appropriate ICD Therapies in Patients with CRT Defibrillators
    JACC: Cardiovascular Imaging, 13, 924-936, 2020.
  • Chu, C.Y., Sun, C.Y., Kuai, Z.X., Zhu, Y.M.
    Structure Prior Constrained Estimation of Human Cardiac Diffusion Tensors
    IEEE Transactions on Biomedical Engineering, DOI 10.1109, 2019.
  • Sun, C.Y., Walker, C.M., Michel, K.A., Venkatesan, A.M., Lai, S.Y., Bankson, J.A.,
    Influence of parameter accuracy on pharmacokinetic analysis of hyperpolarized pyruvate.
    Magnetic Resonance in Medicine, 79, 3239-3248, 2018.