Yi Wang is the Faculty Distinguished Professor of Radiology and professor of Biomedical Engineering at Cornell University, a Fellow of AIMBE, IEEE, and ISMRM, and a recipient of the Distinguished Investigator Award from The Academy for Radiological & Biomedical Imaging Research. Prof. Wang has been active in MRI research community, serving as a reviewer for many grant agencies including NIH and the European Research Council and serving as a PI for multiple NIH grants. He has published 230+ journal papers, authored a textbook “Principles of Magnetic Resonance Imaging” and a monograph “Quantitative Susceptibility Mapping”, co-authored a book “Electro-Magnetic Tissue Properties MRI”, and edited a book “Introduction to Medicine for Engineers”.
Prof. Wang has been developing MRI+ technology to enable precision medicine, using physics modeling and computation tools guided by biological knowledge. He has made many significant contributions to MRI. 1) Quantitative susceptibility mapping (QSM) to solve the field-to-susceptibility inverse problem using the Bayesian approach. QSM has become a very active field of studying tissue magnetism for applications in neurodegeneration, inflammation, oxygen consumption, hemorrhage, liver, osteoporosis, atherosclerosis, and drug delivery. QSM is becoming used in clinical practice, particularly for precision targeting for deep brain stimulation, precision medication for iron chelation therapy, precision diagnosis and no gadolinium injection for multiple sclerosis. 2) Quantitative transport mapping (QTM) to solve the fundamental problem of tissue perfusion quantification using biophysics modeling and computation. The fraud arterial input function in traditional method is eliminated with transport equation. QTM processing of time resolved imaging, including MR digital subtraction angiography and intelligent super-resolution 4D imaging, is enabling precision measurement of blood flow in tissue and is helping with precision delivery of therapeutic drugs, heat and freeze to tissue. 3) Navigator motion compensation to “autofocus” cardiac MRI, which has become widely adopted in cardiac and other MRI, 4) Large field-of-view fast imaging as exemplified by stepping table platform with multiple local coils, which has become a standard feature of modern MRI system, such as the platform for Siemens’ TIM MRI product (9000+ installation sites).
Additional information can be found on his medical school website.
- Biomedical Imaging and Instrumentation
- Biomedical Engineering
- Image Analysis
- Signal and Image Processing
- Scientific Computing
- Biomolecular Engineering
- Artificial Intelligence
- Computational Fluid Dynamics
- Complex Systems, Network Science and Computation
- Computational Science and Engineering
- Computer Aided Diagnosis
- Statistics and Machine Learning
Principles of medical imaging, Magnetic Resonance Imaging (MRI)
- Wang, Yi, T Lui. 2014. "Decoding MRI Data for a Tissue Magnetic Biomarker Quantitative Susceptibility Mapping." Magn Reson Med.
- Kawaji, K., P. Spincemaille, T D. Nguyen, N. Thimmappa, M A. Cooper, M R. Prince, Yi Wang. 2013. "Direct Coronary Motion Extraction from a 2D Fat Image Navigator for Prospectively Gated Coronary MR Angiography." Magn Reson Med.
- Cooper, M A., T D. Nguyen, B. Xu, M R. Prince, M. Elad, Yi Wang, P Spincemaille. 2014. "Patch based reconstruction of undersampled data (PROUD) for high signal-to-noise ratio and high frame rate contrast enhanced liver imaging." Magn Reson Med.
- Dimov, A., T. Lui, P. Spincemaille, J S. Ecanow, H. Tan, R R. Edelman, Yi Wang. 2014. "Joint estimation of chemical shift and quantitative susceptibility mapping (chemical QSM).." Magn Reson Med.
- Zhang, J., T. Lui, A. Gupta, T. Nguyen, P. Spincemaille, Yi Wang. 2014. "Quantitative Mapping of Cerebral Metabolic Rate of Oxygen (CMRO2) using Quantitative Susceptibility Mapping (QSM).." Magn Reson Med.
Selected Awards and Honors
- Fellow of American Institute for Medical and Biological Engineering (AIMBE) 2006
- Fellow (International Society of Magnetic Resonance in Medicine) 2012
- Fellow (Institute of Electrical and Electronics Engineers) 2013
- Advanced Richard B. Mazess Scholarship (University of Wisconsin) 1993
- Graduate Fellowship (University of Wisconsin) 1988
- B.S. (Nuclear Physics), Fudan University, 1986
- M.S. (Theoretical Physics), University of Wisconsin, Milwaukee, 1988
- Ph.D. (Medical Physics), University of Wisconsin, Madison, 1994
- Postdoc, Mayo Clinic, 1994-1996