This work seeks to develop, evaluate and use new MRI methods for non-invasive quantitative assessment of myocardial perfusion reserve (MPR). The methods will be designed to work robustly for patients with arrhythmias or poor ECG signals. The methods will be applied along with left ventricular (LV) and left atrial (LA) function and LA fibrosis measurements to study changes due to treatment for atrial fibrillation (AF).
Specific aims are (1) To design and test highly-undersampled ungated perfusion acquisitions and reconstructions. (2) To provide robust quantitative perfusion estimates by improved processing and by identifying an accurate arterial input function using methods that are widely applicable across a range of doses and acquisition types. (3) To determine the validity and repeatability of the proposed quantitative methods and the differences in perfusion and MPR measured at systole and diastole, including determining if systole or diastole is most repeatable when quantifying perfusion. (4) To determine the changes over time in perfusion reserve and cardiac function and left atrial fibrosis, after ablative treatment for AF. This will allow for determining the extent of perfusion improvement acutely due to conversion to sinus rhythm and the degree of recovery of perfusion reserve that recovers more slowly over months.
These aims will be accomplished by developing methods to acquire perfusion data continuously, without a gating signal. Gating will be accomplished by analyzing the data retrospectively. Advanced reconstruction methods that include low rank and spatiotemporal constraints, and that employ compensation for respiratory and cardiac motion, will be developed and tested with the rapidly acquired self-gated perfusion sequences. An accurate arterial input function will be obtained using constrained data- driven blind estimation techniques. The accuracy of the new methods will be determined by validation in an animal model of AF, and by comparison to human studies with dynamic PET, and the repeatability of the methods will be characterized. The serial application of the methods to patients undergoing ablation therapy will then provide new information regarding changes associated with myocardial remodeling. The development and use of such accurate and repeatable measurements of perfusion in humans will accelerate evaluation of clinical therapies, and provide new tools and knowledge for the management of patients with cardiac disease.

Public Health Relevance

This proposal offers new methods to quantify blood flow in the heart muscle in patients with arrhythmias or poor ECG signals in the MRI scanner. If such measurements can be made more accurate this will allow for better longitudinal studies that better inform treatments and monitoring of heart disease and will improve public health. The proposed methods will be applied along with measurements of heart function to patients with atrial fibrillation to improve their management and to improve our understanding of ablation treatment for atrial fibrillation.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Project (R01)
Project #
1R01HL113224-01A1
Application #
8373623
Study Section
Special Emphasis Panel (ZRG1-BMIT-J (01))
Program Officer
Danthi, Narasimhan
Project Start
2012-08-15
Project End
2016-06-30
Budget Start
2012-08-15
Budget End
2013-06-30
Support Year
1
Fiscal Year
2012
Total Cost
$497,990
Indirect Cost
$164,886
Name
University of Utah
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
009095365
City
Salt Lake City
State
UT
Country
United States
Zip Code
84112
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Kamesh Iyer, Srikant; Tasdizen, Tolga; Likhite, Devavrat et al. (2016) Split Bregman multicoil accelerated reconstruction technique: A new framework for rapid reconstruction of cardiac perfusion MRI. Med Phys 43:1969
Wang, Haonan; Adluru, Ganesh; Chen, Liyong et al. (2016) Radial simultaneous multi-slice CAIPI for ungated myocardial perfusion. Magn Reson Imaging 34:1329-1336
Likhite, Devavrat; Suksaranjit, Promporn; Adluru, Ganesh et al. (2016) Interstudy repeatability of self-gated quantitative myocardial perfusion MRI. J Magn Reson Imaging 43:1369-78
Likhite, Devavrat; Adluru, Ganesh; Hu, Nan et al. (2015) Quantification of myocardial perfusion with self-gated cardiovascular magnetic resonance. J Cardiovasc Magn Reson 17:14

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