Advanced Echocardiography Imaging Fellowship
The Stanford Echocardiography and Cardiovascular Imaging section offers a one-year non-ACGME fellowship program.
This dedicated clinical imaging fellowship training is echo focused, designed to provide advanced echo training and fulfill the COCATS requirements for level III training in echo, including significant experience with transesophageal echo guidance of transcatheter structural interventions. Structural interventions currently offered at Stanford include mitral valve repair, mitral valve replacement, tricuspid repair, tricuspid replacement, paravalvular regurgitation repair, left atrial appendage occlusion, and atrial and ventricular septal defect closure. It is expected that fellows that complete this training will pursue board certification in echocardiography.
The training will also include clinical training in multimodality imaging, including cardiovascular MRI and cardiac CT. Cardiovascular MRI curriculum will allow intense investigation to wide array of pathology including, ischemic and non-ischemic cardiomyopathy, myocardial perfusion stress study, T1/T2 map, regurgitant quantification, 4-D flow study, and adult congenital heart disease. Opportunities for further exposure to coronary CTA, cardiac CT, nuclear cardiology, and PET are also available. Although this is a clinical fellowship, development of and/or contribution to a wide array of research project focused on advanced imaging is encouraged.
The Advanced Echo Imaging Fellowship is administered through the Divisions of Cardiovascular Medicine and the Department of Radiology at the Stanford University School of Medicine and Stanford Healthcare. This fellowship is designed to train leaders in the field of advanced cardiac imaging.
Cardiovascular Medicine Advanced Echocardiography Imaging Faculty Insight Corner
Christiane Haeffele, MD
Clinical Assistant Professor of Medicine
Paul Heidenreich, MD, MS
Professor of Medicine
General Cardiology and Prevention Faculty
George Lui, MD
Clinical Associate Professor