Abstract #0039

Free-Breathing, Non-ECG-Gated, Continuous Myocardial T1 Mapping and ECV Quantification with Multitasking

Jaime L. Shaw^1,2, Anthony Christodoulou^1,3, Behzad Sharif¹, and Debiao Li^1,2

¹Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, ²Department of Bioengineering, UCLA, Los Angeles, CA, United States, ³Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA

Currently used T1 mapping techniques utilize both ECG gating and breath-holds/navigators with low imaging efficiency and/or respiratory motion artifacts. We removed the need for ECG gating and respiratory monitoring with Cardiac MR Multitasking, a continuous acquisition technique using a low-rank tensor (LRT) imaging framework. The aim of this work is to validate a free-breathing, non-ECG-gated native T1 mapping and ECV quantification method in healthy subjects against standard MOLLI T1 mapping.

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