Abstract #0031

Non-ECG, free-breathing myocardial T1-T2 mapping of acute myocardial infarction using low-rank tensor MR multitasking

Anthony G Christodoulou¹, Jaime L Shaw^1,2, Christopher Nguyen¹, Yibin Xie¹, Nan Wang^1,2, Qi Yang^1,3, and Debiao Li^1,2

¹Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, ²Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, United States, ³Department of Radiology, Xuanwu Hospital, Beijing, China

Myocardial tissue characterization by T1-T2 mapping is promising for diagnosing myocardial infarction, ischemia, and more. This is typically performed using ECG triggering and breath-holding, which is uncomfortable and unreliable in patients. This work describes a novel method for non-ECG free-breathing joint T1-T2 mapping using cardiovascular MR multitasking, modeling the underlying 6D multidimensional image—which has 2 spatial dimensions + 4 time dimensions (cardiac, respiratory, T1, and T2)—as a low-rank tensor. T1 and T2 measurements in acute myocardial infarction patients agreed with reference methods and predicted late gadolinium enhancement with 100% sensitivity and 92% specificity.

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