MRI of Myocardial Strain: Recent Technological Advances and Clinical Applications

Frederick H. Epstein
University of Virginia
Tuesday, January 31
3:00 – 4:00 pm
SEH Lehman Auditorium, B1220


Clinical applications of myocardial strain imaging have advanced dramatically in the past five years, as strain imaging has shown major advantages over imaging of ejection fraction in multiple types of heart disease.  While most clinical demonstrations of the value of myocardial strain imaging have utilized echocardiography, modern MRI strain imaging using cine Displacement Encoding with Stimulated Echoes (cine DENSE) is the most accurate and reproducible method.  Over the past decade, our lab has developed cine DENSE MRI and shared the method with over 35 cardiac MRI research groups worldwide.  This seminar will review the major technical advancements of cine DENSE, and will also highlight clinical applications from the University of Virginia and others, including application to optimization of cardiac resynchronization therapy, detection of sentinel dysfunction in heart failure, and detection of subclinical dysfunction in heart disease related to obesity and diabetes.

Frederick H. Epstein PhD, Mac Wade Professor and Chair of Biomedical Engineering at the University of Virginia (UVA), is recognized for contributions to magnetic resonance imaging of the heart in humans and mouse models of heart disease. Dr. Epstein has published over 115 peer-reviewed articles, was an Established Investigator of the American Heart Association (AHA), and has served as Chair of the Society for Cardiovascular Magnetic Resonance (SCMR) Science Committee and the International Society for Magnetic Resonance in Medicine (ISMRM) Cardiac Study Group. He has also served on the SCMR Board of Trustees.  He is currently a Deputy Editor for Magnetic Resonance in Medicine and Chair of the American Institute for Medical and Biological Engineering (AIMBE) Academic Council.  He is a Fellow of the ISMRM, the AHA, and AIMBE, and he is Principle Investigator of the UVA Coulter Translational Research Partnership.  He recently completed a term as a standing member of NIH Study Section Biomedical Imaging Technology – A.  In addition to academia, he has worked as a scientist/engineer at GE Medical Systems.