Assistant Professor in Medicine
As of 2021 · Last known relationship
Enn-Ling Chen is a Duke cardiology faculty member whose career has focused on cardiac magnetic resonance imaging and the characterization of myocardial injury. She earned a Ph.D. from the University of Pennsylvania in 1998 and joined Duke as a temporary instructor in medicine in 2001. She subsequently served as an assistant research professor from 2002 to 2006 and assistant professor in medicine from 2006 to 2020, returning to that appointment in 2021. Her documented research includes dark-blood delayed-enhancement MRI, myocardial infarction, myocardial fibrosis, papillary-muscle infarction, lipomatous metaplasia, quantitative mapping, and MRI fat-suppression methods. Her listed grants included NIH-supported work on contrast MRI, myocardial viability, chronic myocardial injury, and delayed-enhancement cardiac MRI.
Each topic is linked to its supporting source in Sources.
Training includes Assistant Professor in Medicine, Assistant Research Professor in Medicine, Instructor, Temporary in the Department of Medicine, and Ph.D., University of Pennsylvania, plus 1 more record.
Explore education and trainingAs of 2020
2019
2015
2009
2009
2007
As of 2006
As of 2002
As of 1998
As of 2021
Assessment of myocardial lipomatous metaplasia using an optimized out-of-phase cine steady-state free-precession sequence: Validation and clinical implementation[7]
2022
Assessment of Papillary Muscle Infarction with Dark-Blood Delayed Enhancement Cardiac MRI in Canines and Humans[7]
2022
Comparison of magnetization transfer-preparation and T2-preparation for dark-blood delayed-enhancement imaging[7]
2020
Dark-Blood Delayed Enhancement Cardiac Magnetic Resonance of Myocardial Infarction[7]
2018
Double spectral attenuated inversion recovery (DSPAIR)-an efficient fat suppression technique for late gadolinium enhancement at 3 tesla[7]
2021
Flow-independent dark-blood delayed enhancement (Fiddle): Validation of a novel black blood technique for the diagnosis of myocardial infarction[7]
2016
Native T1 Mapping for the Diagnosis of Myocardial Fibrosis in Patients With Chronic Myocardial Infarction[7]
2022
Relationship between the transmural extent of high resolution parametric (T1-and t2) mapping and the ischemic area at risk defined by pathology[7]
2016
Suppression of ghost artifacts arising from long T1 species in segmented inversion-recovery imaging[7]
2017
Validation of a novel dark-blood delayed enhancement technique for the detection of papillary muscle SCAR[7]
2016