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Magnetic Resonance Imaging

This program supports the technological development of in vivo MR imaging and MR spectroscopy, for both animal and human research and potential clinical applications.


The emphasis is on the development of MRI hardware and methodologies, including image acquisition and reconstruction techniques, that would improve the speed, spatial resolution, information content, efficiency, robustness, quality, patient experience, and safety. The emphasis should be on technological development rather than detailed applications to specific diseases or organs.

The program covers the development of new MRI techniques, methods and tools broadly, which include but are not limited to:

  • fast MRI
  • high and ultra-high field MRI
  • pulse sequence and image reconstruction
  • MRI of new contrast mechanisms
  • design and implementation of novel magnets, gradients, radio-frequency coils, and other apparatus for in-scanner applications
  • combination of MRI with other modalities with an emphasis on MRI hardware development
  • in vivo MR Spectroscopy and spectroscopic imaging
  • MRI of tissue properties, structure, metabolism, function and physiology
Grant Number Project Title Principal Investigator Institution
5-R01-EB009690-08 Rapid Robust Pediatric MRI Shreyas Vasanawala Stanford University
5-F32-EB024381-02 A Statistical Framework for Optimized Quantitative MRI with MR Fingerprinting Bo Zhao Massachusetts General Hospital
5-K99-EB024341-02 Human Connectome Mapping Using Ultra-High-Resolution MRI: A Technological Pathway Simone Winkler Stanford University
5-P41-EB002026-43 MIT/ Harvard Center for Magnetic Resonance Robert Griffin Massachusetts Institute of Technology
5-P41-EB013598-08 Hyperpolarized MRI Technology Resource Center Daniel Vigneron University of California, San Francisco
5-P41-EB015896-20 Center for Functional Imaging Technologies Bruce Rosen Massachusetts General Hospital
5-P41-EB002031-25 Resource for NMR Molecular Imaging of Proteins Stanley Opella University of California, San Diego
5-P41-EB015909-18 Resource for Quantitative Functional FMRI Peter Van Zijl Hugo W. Moser Res Inst Kennedy Krieger
5-P41-EB017183-05 Center for Advanced Imaging Innovation and Research (CAI2R) Daniel Sodickson New York University School of Medicine
5-P41-EB015891-24 Center for Advanced Magnetic Resonance Technology at Stanford Gary Glover Stanford University