معرفی
Frederick Epstein is a Professor in the Department of Radiology and Medical Imaging at the University of Virginia School of Medicine. With an h-index of 61 and over 12,000 citations, he is a leading researcher in cardiovascular magnetic resonance imaging with a particular focus on developing novel MRI techniques for cardiac mechanics assessment and molecular imaging applications.
Dr. Epstein's research spans multiple areas of cardiovascular imaging including myocardial tissue tagging, displacement encoding with stimulated echoes (DENSE), quantitative perfusion imaging, and molecular imaging of cardiac fibrosis. His work bridges engineering and clinical cardiology, developing innovative MRI methodologies that have transformed how we assess cardiac function and disease. His research has been particularly influential in the areas of myocardial mechanics quantification, cardiac strain analysis, and molecular imaging of myocardial scar and fibrosis.
Analysis of his recent publications (2010-2015) reveals a strong focus on advanced cardiac mechanics assessment using 3D DENSE techniques, quantitative perfusion analysis for coronary artery disease, and molecular imaging of myocardial fibrosis. His work consistently combines technical innovation with important clinical applications, particularly in heart failure, myocardial infarction, and hypertensive heart disease.
Dr. Epstein has received significant recognition through his extensive publication record and high citation metrics, though specific awards are not mentioned in the available information. His research has been supported by substantial funding, enabling him to maintain an active laboratory investigating novel cardiovascular imaging techniques.
He has mentored numerous students and collaborators, as evidenced by his extensive co-author network spanning multiple institutions. His work frequently involves translational research, moving from small animal models to clinical applications, particularly in the areas of myocardial infarction and cardiac mechanics assessment.
