Abstract #1207

ECG-free, free-breathing myocardial T1/ECV mapping at high heart rates using MR Multitasking: A feasibility study in a HFpEF rat model

Pei Han^1,2, Rui Zhang^3,4, Anthony Christodoulou², Shawn Wagner², Yibin Xie², Eugenio Cingolani³, Eduardo Marban³, and Debiao Li^1,2,5

¹Department of Bioengineering, UCLA, Los Angeles, CA, United States, ²Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, ³Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, ⁴Department of Cardiology, Xin-Hua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China, ⁵Department of Medicine, UCLA, Los Angeles, CA, United States

CMR T1 and ECV quantification can be used to characterize focal or diffuse myocardial fibrosis. However, it is technically challenging to acquire high-quality maps in small animals for preclinical research because of high heart rates and high respiration rates. In this study, we developed an ECG-free, free-breathing MR Multitasking T1 mapping method on a 9.4T small animal MRI system. The feasibility of characterizing diffuse myocardial fibrosis was tested in a HFpEF rat model. Elevated ECV found in the HFpEF group is consistent with previous human studies and shows strong correlation with the histological data.

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