Coronary artery disease (CAD) is the leading cause of death in the United States, even though significant efforts have been made in prevention and diagnosis. The clinical gold standard for diagnosis of CAD is catheter-based invasive x-ray angiography, performed more than a million times per year. Of these examinations, up to 35% have been found to have no significant stenosis, yet these patients had to go through the potential risks and complications of an invasive test that further exposes the patient to ionizing radiation and iodinated contrast. Thus, non-invasive diagnostic alternatives are highly desirable. Cardiac MRI (CMR) provides a method for comprehensive non-invasive cardiac exam, including contractile functional assessment (cine CMR) to detect wall-motion abnormality, myocardial CMR perfusion for diagnosing perfusion defects, viability assessment using late gadolinium enhancement (LGE) for evaluation of acute and chronic myocardial infarction, and coronary MRI for the identification of stenosis. CMR is advantageous in several respects, since it does not require ionizing radiation or iodinated contrast, thereby facilitating repeated or follow-up scanning. However, long data acquisition time remains as one of its main limitations. Several approaches have been studied to facilitate rapid CMR acquisition. Nonetheless, the acquisition time for high-resolution CMR remains long, and spatial and temporal resolution is traded off for acquisition time in cine and perfusion imaging. Therefore, developments of methods to reduce data acquisition time beyond what is available now are appealing. We will develop novel reconstruction methodologies for high-resolution CMR that learn the anatomical structures in the images being reconstructed. We will validate these techniques in a range of contrast-enhanced CMR imaging protocols, providing better volumetric coverage of the heart, efficient use of the contrast agents, and higher spatial and temporal resolution.

Public Health Relevance

Coronary artery disease (CAD) is the leading cause of death in the United States. Cardiac MRI provides a technique for a non-invasive non-ionizing cardiac exam, which can be used in the diagnosis of CAD. In this work, we develop and validate techniques for acceleration of cardiac MRI, offering better volumetric coverage of the heart, improved contrast, and spatial and temporal resolution.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Career Transition Award (K99)
Project #
1K99HL111410-01
Application #
8224036
Study Section
Special Emphasis Panel (ZHL1-CSR-P (O2))
Program Officer
Carlson, Drew E
Project Start
2012-06-01
Project End
2014-05-31
Budget Start
2012-06-01
Budget End
2013-05-31
Support Year
1
Fiscal Year
2012
Total Cost
$102,040
Indirect Cost
$7,410
Name
Beth Israel Deaconess Medical Center
Department
Type
DUNS #
071723621
City
Boston
State
MA
Country
United States
Zip Code
02215
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Akçakaya, Mehmet; Weingärtner, Sebastian; Basha, Tamer A et al. (2016) Joint myocardial T1 and T2 mapping using a combination of saturation recovery and T2 -preparation. Magn Reson Med 76:888-96
Akçakaya, Mehmet; Tarokh, Vahid (2015) Sparse Signal Recovery from a Mixture of Linear and Magnitude-Only Measurements. IEEE Signal Process Lett 22:1220-1223
Akçakaya, Mehmet; Basha, Tamer A; Weingärtner, Sebastian et al. (2015) Improved quantitative myocardial T2 mapping: Impact of the fitting model. Magn Reson Med 74:93-105
Akçakaya, Mehmet; Weingärtner, Sebastian; Roujol, Sébastien et al. (2015) On the selection of sampling points for myocardial T1 mapping. Magn Reson Med 73:1741-53
Akçakaya, Mehmet; Basha, Tamer A; Chan, Raymond H et al. (2014) Accelerated isotropic sub-millimeter whole-heart coronary MRI: compressed sensing versus parallel imaging. Magn Reson Med 71:815-22
Akçakaya, Mehmet; Basha, Tamer A; Pflugi, Silvio et al. (2014) Localized spatio-temporal constraints for accelerated CMR perfusion. Magn Reson Med 72:629-39
Akçakaya, Mehmet; Gulaka, Praveen; Basha, Tamer A et al. (2014) Free-breathing phase contrast MRI with near 100% respiratory navigator efficiency using k-space-dependent respiratory gating. Magn Reson Med 71:2172-9
Akçakaya, Mehmet; Nam, Seunghoon; Basha, Tamer A et al. (2014) An augmented Lagrangian based compressed sensing reconstruction for non-Cartesian magnetic resonance imaging without gridding and regridding at every iteration. PLoS One 9:e107107
Akçakaya, Mehmet; Shaw, Jaime L; Hauser, Thomas H et al. (2013) Utility of respiratory-navigator-rejected k-space lines for improved signal-to-noise ratio in three-dimensional cardiac MR. Magn Reson Med 70:1332-9