Abstract #1175

Respiratory motion compensated Multitasking for 3D myocardial perfusion without breath-holds, ECG, or multiple boluses

Anthony G Christodoulou¹, Nan Wang^1,2, Jaime L Shaw^1,3, Xiaoming Bi⁴, Yibin Xie¹, Christopher Nguyen^1,5, 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, ³Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, ⁴Siemens Healthineers, Los Angeles, CA, United States, ⁵Cardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States

Quantitative myocardial perfusion MRI is potentially powerful for diagnosing coronary artery disease. However, It is challenging to accurately measure dynamic contrast enhancement throughout the whole moving heart. Most perfusion methods employ some combination of ECG-triggering, breath-holds, dual-bolus acquisition, and multislice 2D acquisition, leading to difficult workflows and limited spatial coverage. Here we describe a non-ECG, free-breathing, single-bolus, 3D alternative which employs the MR Multitasking framework to perform low-rank tensor imaging. We add 3D respiratory motion compensation to this framework to eliminate the need for breath-holds. This new method is demonstrated and evaluated in healthy volunteers.

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