Abstract #4130

Free-breathing, ECG-Free, Myocardial T1 Mapping: Initial Feasibility Experiments of Cardiac MR Multitasking on GE Systems

Xianglun Mao¹, Hsu-Lei Lee², Katerina Eyre³, Gaspar Delso⁴, Debiao Li^2,5, Anthony G Christodoulou^2,5, Matthias G Friedrich^3,6, Michael Salerno⁷, and Martin A Janich⁸

¹GE HealthCare, Menlo Park, CA, United States, ²Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, ³Department of Radiology, McGill University Health Centre, Montreal, QC, Canada, ⁴GE HealthCare, Barcelona, Spain, ⁵Department of Bioengineering, University of California in Los Angeles, Los Angeles, CA, United States, ⁶Area 19, Montreal, QC, Canada, ⁷Departments of Medicine and Radiology, Stanford University, Stanford, CA, United States, ⁸GE HealthCare, Munich, Germany

Synopsis

Keywords: Myocardium, Quantitative Imaging, T1 MappingQuantitative imaging biomarkers such as T1 are promising for assessing focal and diffuse myocardial pathologies across different sites and scanners. However, the lack of reliable T1 mapping methods across different scanner platforms reduces patient access to robust quantitative imaging. CMR Multitasking has shown promise for non-ECG and free-breathing quantitative imaging in the heart, primarily at 3T. This work is an initial feasibility study implementing the CMR Multitasking on GE 1.5T MR scanners. Radial trajectories, self-gating/training data, and the CMR Multitasking framework together provided co-registered T1 and cine maps in a 1-min, free-breathing, non-ECG CMR scan.

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