The goal of this research project is to develop and evaluate a set of new techniques for noninvasive coronary artery imaging using magnetic resonance imaging (MRI). Because coronary artery disease remains the major cause of death in the United States, a noninvasive method for coronary artery imaging providing accurate detection and quantification of coronary artery lesions would represent a major advance in cardiac care. Coronary magnetic resonance artery and vessel wall imaging have made significant progress over the past few years. Recent clinical studies have yielded promising results, but the accuracy is not yet high enough for clinical use. The proposed research project proposes new techniques to improve the accuracy and reliability of both magnetic resonance coronary angiography and coronary wall imaging. A period of technical development will be followed by a comparative study of the optimized coronary artery imaging methods with x-ray angiography and intravascular ultrasound in patients with suspected coronary artery disease. This project will combine a proven technical program with constant clinical feedback to facilitate the improvement and refinement of the methods. Relevance: This research project proposes to develop and test new methods for imaging the heart. These new methods are designed to detect and evaluate coronary artery disease, which causes chest pain and heart attacks. The new methods are noninvasive, so they could allow diagnosis of heart disease with less risk and discomfort to the patient than existing methods.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Project (R01)
Project #
5R01HL079110-05
Application #
7860723
Study Section
Medical Imaging Study Section (MEDI)
Program Officer
Buxton, Denis B
Project Start
2006-07-01
Project End
2014-05-31
Budget Start
2010-06-01
Budget End
2014-05-31
Support Year
5
Fiscal Year
2010
Total Cost
$356,260
Indirect Cost
Name
University of Virginia
Department
Biomedical Engineering
Type
Schools of Medicine
DUNS #
065391526
City
Charlottesville
State
VA
Country
United States
Zip Code
22904
Yang, Yang; Zhao, Li; Chen, Xiao et al. (2018) Reduced field of view single-shot spiral perfusion imaging. Magn Reson Med 79:208-216
Feng, Xue; Salerno, Michael; Kramer, Christopher M et al. (2016) Non-Cartesian balanced steady-state free precession pulse sequences for real-time cardiac MRI. Magn Reson Med 75:1546-55
Zhao, Li; Feng, Xue; Meyer, Craig H (2016) Direct and accelerated parameter mapping using the unscented Kalman filter. Magn Reson Med 75:1989-99
Yang, Yang; Kramer, Christopher M; Shaw, Peter W et al. (2016) First-pass myocardial perfusion imaging with whole-heart coverage using L1-SPIRiT accelerated variable density spiral trajectories. Magn Reson Med 76:1375-1387
Fielden, Samuel W; Meyer, Craig H (2015) A simple acquisition strategy to avoid off-resonance blurring in spiral imaging with redundant spiral-in/out k-space trajectories. Magn Reson Med 73:704-10
Zhao, Li; Fielden, Samuel W; Feng, Xue et al. (2015) Rapid 3D dynamic arterial spin labeling with a sparse model-based image reconstruction. Neuroimage 121:205-16
Fielden, Samuel W; Mugler 3rd, John P; Hagspiel, Klaus D et al. (2015) Noncontrast peripheral MRA with spiral echo train imaging. Magn Reson Med 73:1026-33
Fielden, Samuel W; Mugler 3rd, John P; Hagspiel, Klaus D et al. (2014) Refocused turbo spin-echo for noncontrast peripheral MR angiography. J Magn Reson Imaging 39:1468-76
Salerno, Michael; Taylor, Angela; Yang, Yang et al. (2014) Adenosine stress cardiovascular magnetic resonance with variable-density spiral pulse sequences accurately detects coronary artery disease: initial clinical evaluation. Circ Cardiovasc Imaging 7:639-46
Feng, Xue; Salerno, Michael; Kramer, Christopher M et al. (2013) Kalman filter techniques for accelerated Cartesian dynamic cardiac imaging. Magn Reson Med 69:1346-56

Showing the most recent 10 out of 19 publications