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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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Keywords

accelerated acceleration acceptance accounts accurate acquisition acquisitions adaptive adapts additionally agreement aliasing among artifacts assessment assuming atrial better biomedical bound capability cardiac cardiology chosen clinical clinically combining compressed constraint criterion decisions demonstrating determined developed differed disrupted distribution division efficiency enables encode encodes encoding engineering error estimation evolving example fully function funded gating good halt halted halting healthy heart human illustrates implemented improved incoherent independent index infarct interplay inversion limited look made mapping maps matrix measure measures medical medicine metric minimize minimized minimizing myocardial navigator next nonadaptive occur outside parallel particular pattern patterns peak precise precisely prescribed previously prior priori probability promising quality quantitative radiology random reached real recalculating reconstruct reconstructed reconstruction reduced regarding rejection removing resolution respiratory retrospective retrospectively sampled sampling scanning schemes sensing severity significantly similarity slice solutions sparsity spatial specifically squared stopping structural structures subject sufficient suited system table thin threshold transform typically uniform volunteer volunteers walls window zone