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Abstract #4570

High Resolution Cardiac T1 Mapping Using an Adaptive Data Acquisition Algorithm Combining Navigator Gating and Compressed Sensing

Bhairav B. Mehta1, Xiao Chen1, Christopher M. Kramer2, 3, Michael Salerno1, 2, Frederick H. Epstein1, 3

1Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, United States; 2Department of Medicine, Cardiology Division University of Virginia, Charlottesville, VA, United States; 3Department of Radiology, University of Virginia, Charlottesville, VA, United States


MOLLI has limited spatial resolution because of its breathhold constraint. Higher spatial resolution may improve T1-mapping of thin structures. The ANGIE sequence uses navigator gating to remove the breathhold constraint and CS to accelerate data acquisition. For high-quality CS reconstruction, the sampling pattern should be incoherent, and to minimize scan time, a stopping criterion should be based on image quality and T1 estimation. We developed an ANGIE sequence that adapts to navigator rejection of data by recalculating, in real-time, a sampling pattern that is well-suited for CS, and halts data acquisition when data are sufficient for CS reconstruction and precise T1 estimation.

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