Principles of Magnetic Resonance Imaging: Physics Concepts, Pulse Sequences, & Biomedical Applications
Professor Yi Wang is the Faculty Distinguished Professor of Radiology, Professor of Biomedical Engineering, and co-Director of the MRI facility at Cornell University. He is a Fellow of IEEE (Institute of Electrical and Electronics Engineers), ISMRM (International Society of Magnetic Resonance in Medicine), and AIMBE (American Institute for Medical and Biological Engineering). He has served as a scientific reviewer of grant applications for many agencies, including the National Institutes of Health (NIH), European Research Council, Research Grants Council of Hong Kong, Swiss National Science Foundation, and the Wellcome Trust of the United Kingdom. As a Principal Investigator, Professor Wang has been awarded many NIH grants for MRI-related research and education and has published more than 137 peer-reviewed journal papers.  Professor Wang’s research interest has been in developing MRI technology for clinical applications using methodologies and tools from mathematics, physics, electronic engineering, computer science, and biology. He has developed navigator motion compensation for cardiac MRI, which has become widely adopted in scientific research and clinical practice for cardiac and other MRI. He has pioneered time resolved contrast enhanced MRA, which has become a major field of scientific and clinical cardiovascular MRI activities. He has pioneered multiple station stepping table platform and bolus chase acquisition; the multi-coil array for multi-station as depicted in Professor Wang’s patent has become Siemens’ flagship “Tim - Total image matrix” product. Recently, his group has introduced the quantitative susceptibility mapping (QSM) technique by inverting the local magnetic field estimated from MRI phase signal. QSM is promising for investigating tissue magnetic biomarkers, including deoxyhemoglobin and hemoglobin degradation, ferritin, calcification, myelin, and contrast agents, and has potential applications for a wide range of inflammatory, ischemic and neurodegenerative diseases. Professor Wang is currently working on research projects related to QSM and Bayesian approaches to MRI and applications in the brain, heart, and liver.