In patients with heart failure (HF), accurate differentiation among ischemic and various non-ischemic cardiomyopathies (NICMs) is essential for appropriate guidance of therapies. Late gadolinium enhancement (LGE) MRI is an ideal non-invasive imaging method for depicting myocardial scarring and fibrosis, but is not well suitable for HF patients due to the requirement of many breath-holds and limited specificity to distinguish various forms of NICM. While LGE MRI is based on static analysis of the concentration of contrast agent at a single post-injection time, contrast uptake and washout is actually a temporally dynamic process, the pattern of which varies depending on specific pathological conditions. If accurately captured, the contrast kinetics may improve the tissue characterization particularly for differentiating NICMs that are associated with different etiologies. The ultimate goal of this project is to develop so-called early-to-late gadolinium enhancement (ELGE) MRI methods which capture contrast uptake and wash-out over time and to utilize the resultant kinetics information for differentiating various NICMs. Towards this goal, we will first develop respiratory motion corrected 3D LGE imaging methods which enable whole heart coverage during free-breathing. This will be achieved by integrating novel MRI components such as 3D stack-of-spirals acquisition, outer volume suppression magnetization preparation and 1D projection-based motion estimator. Then, ELGE measurement will be done in NICM patients by repeating the free-breathing scan between 1min through 40 min post injection. After parameterization of ELGE time curves, classification rules will be established to distinguish myocarditis, dilated cardiomyopathy and sarcoidosis that justify a larger clinical study.

Public Health Relevance

Accurate diagnosis of various types of ischemic and non-ischemic cardiomyopathies is important for optimal treatment of patients with heart failure. This work will first develop respiratory motion- corrected 3D late gadolinium enhancement cardiac magnetic resonance imaging methods which reliably delineate scar and fibrosis without the requirement of breath-hold. The free-breathing technique will be extended to early-to-late gadolinium enhancement imaging and analysis methods that measure temporal variation in contrast wash-in and out and utilize the resultant kinetics information for the differentiation among ischemic and non-ischemic myocardial injuries.

National Institute of Health (NIH)
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Exploratory/Developmental Grants (R21)
Project #
Application #
Study Section
Clinical and Integrative Cardiovascular Sciences Study Section (CICS)
Program Officer
Liu, Guoying
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
University of Maryland Baltimore
Schools of Medicine
United States
Zip Code
Shin, Taehoon; Qin, Qin (2018) Characterization and suppression of stripe artifact in velocity-selective magnetization-prepared unenhanced MR angiography. Magn Reson Med 80:1997-2005
Shin, Taehoon; Menon, Rajiv G; Thomas, Rahul B et al. (2018) Unenhanced Velocity-Selective MR Angiography (VS-MRA): Initial Clinical Evaluation in Patients With Peripheral Artery Disease. J Magn Reson Imaging :
Menon, Rajiv G; Miller, G Wilson; Jeudy, Jean et al. (2017) Free breathing three-dimensional late gadolinium enhancement cardiovascular magnetic resonance using outer volume suppressed projection navigators. Magn Reson Med 77:1533-1543
Chou, Chia-Chu; Chandramouli, Gadisetti V R; Shin, Taehoon et al. (2017) Accelerated electron paramagnetic resonance imaging using partial Fourier compressed sensing reconstruction. Magn Reson Imaging 37:90-99
Park, Jinil; Shin, Taehoon; Yoon, Soon Ho et al. (2016) A radial sampling strategy for uniform k-space coverage with retrospective respiratory gating in 3D ultrashort-echo-time lung imaging. NMR Biomed 29:576-87
Shin, Wanyong; Shin, Taehoon; Oh, Se-Hong et al. (2016) CNR improvement of MP2RAGE from slice encoding directional acceleration. Magn Reson Imaging 34:779-784
Shin, Taehoon; Qin, Qin; Park, Jang-Yeon et al. (2016) Identification and reduction of image artifacts in non-contrast-enhanced velocity-selective peripheral angiography at 3T. Magn Reson Med 76:466-77