Abstract #0450

Non-ECG First-Pass Myocardial Perfusion T1 Mapping with Low-Rank Tensor Cardiovascular MR Multitasking

Anthony G. Christodoulou^1,2, Jaime L. Shaw^1,3, Xiaoming Bi⁴, Behzad Sharif^1,5, and Debiao Li^1,3

¹Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, ²Cedars-Sinai Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, ³Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, United States, ⁴Siemens Healthcare, Los Angeles, CA, United States, ⁵Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, United States

Quantitative first-pass myocardial perfusion imaging is a potentially powerful tool for diagnosing coronary artery disease. However, quantification is complicated by ECG misfires and the nonlinear response of signal intensity to contrast agent concentration. Here we propose a method overcoming the curse of dimensionality to simultaneously image cardiac motion, contrast dynamics, and T1 relaxation in 2D and 3D, using a low-rank tensor imaging framework for cardiovascular MR multitasking. This non-ECG, first-pass myocardial perfusion T1 mapping method accounts for the signal intensity nonlinearity, allowing direct quantification of contrast agent concentration at any cardiac phase in any cardiac cycle.

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