Ana Cecilia Saavedra Bazan 1,2, Sydney Kaplan1,2, Zhongnan Liu3, Jacob Richardson2, Chaitanya Madamanchi4, Jesse Hamilton1,2, Nicole Seiberlich1,2,5
1Department of Biomedical Engineering, University of Michigan, Ann Arbor, United States of America
2Department of Radiology, University of Michigan, Ann Arbor, United States of America
3Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, United States of America
4Frankel Cardiovascular Center, Division of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, United States of America
5University of Michigan, Ann Arbor, United States of America
Presenting Author: Ana Cecilia Saavedra Bazan
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1. Goette A, Kalman JM, Aguinaga L, et al. EHRA/HRS/APHRS/SOLAECE expert consensus on atrial cardiomyopathies: definition, characterization, and clinical implication. EP Eur. 2016;18(10):1455-1490. doi:10.1093/europace/euw161 [doi]
3. Hamilton JI, Jiang Y, Chen Y, et al. MR fingerprinting for rapid quantification of myocardial T1, T2, and proton spin density. Magn Reson Med. 2017;77(4):1446-1458. doi:10.1002/mrm.26216 [doi]
4. Liu Y, Hamilton J, Rajagopalan S, Seiberlich N. Cardiac Magnetic Resonance Fingerprinting. JACC Cardiovasc Imaging. 2018;11(12):1837-1853. doi:10.1016/j.jcmg.2018.08.028 [doi]
5. Ma D, Gulani V, Seiberlich N, et al. Magnetic resonance fingerprinting. Nature. 2013;495(7440):187-192. doi:10.1038/nature11971 [doi]
6. McGivney DF, Pierre E, Ma D, et al. SVD Compression for Magnetic Resonance Fingerprinting in the Time Domain. IEEE Trans Med Imaging. 2014;33(12):2311-2322. doi:10.1109/TMI.2014.2337321 [doi]
7. Hamilton JI, da Cruz GL, Rashid I, Walker J, Rajagopalan S, Seiberlich N. Deep image prior cine MR fingerprinting with B1+ spin history correction. Magn Reson Med. n/a(n/a). doi:10.1002/mrm.29979 [doi]
8. McGivney DF, Pierre E, Ma D, et al. SVD Compression for Magnetic Resonance Fingerprinting in the Time Domain. IEEE Trans Med Imaging. 2014;33(12):2311-2322. doi:10.1109/TMI.2014.2337321 [doi]
9. Fessler JA. On NUFFT-based gridding for non-Cartesian MRI. J Magn Reson San Diego Calif 1997. 2007;188(2):191-195. doi:10.1016/j.jmr.2007.06.012 [doi]
10. Hamilton JI. A Self-Supervised Deep Learning Reconstruction for Shortening the Breathhold and Acquisition Window in Cardiac Magnetic Resonance Fingerprinting. Front Cardiovasc Med. 2022;9:928546. doi:10.3389/fcvm.2022.928546 [doi]
12. Hamilton JI, Pahwa S, Adedigba J, et al. Simultaneous Mapping of T1 and T2 Using Cardiac Magnetic Resonance Fingerprinting in a Cohort of Healthy Subjects at 1.5T. J Magn Reson Imaging. 2020;52(4):1044-1052. doi:10.1002/jmri.27155 [doi]
13. Rottmann M, Yoo S, Pfenniger A, et al. Use of Atrial Fibrillation Electrograms and T1/T2 Magnetic Resonance Imaging to Define the Progressive Nature of Molecular and Structural Remodeling: A New Paradigm Underlying the Emergence of Persistent Atrial Fibrillation. J Am Heart Assoc. 2024;13(5):e032514. doi:10.1161/JAHA.123.032514 [doi]
14. Beinart R, Khurram IM, Liu S, et al. Cardiac magnetic resonance T1 mapping of left atrial myocardium. Heart Rhythm. 2013;10(9):1325-1331. doi:10.1016/j.hrthm.2013.05.003 [doi]
15. Luetkens JA, Wolpers AC, Beiert T, et al. Cardiac magnetic resonance using late gadolinium enhancement and atrial T1 mapping predicts poor outcome in patients with atrial fibrillation after catheter ablation therapy. Sci Rep. 2018;8(1):13618. doi:10.1038/s41598-018-31916-2 [doi]