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Abstract #4205

Improved Waveform Fidelity of Hybrid HYPR with Compressed Sensing Technique

Yijing Wu1, Kevin M. Johnson1, Steven R. Kecskemeti, Patrick A. Turski2, Chuck A. Mistretta3

1Medical Physics, University of Wisconsin, Madison, WI, United States; 2Radiology, University of Wisconsin, Madison, WI, United States; 3Medical Physics and Radiology, University of Wisconsin, Madison, WI, United States

Hybrid HYPR-MRA utilizes a separately acquired high spatial resolution static MRA as a spatial constraint to reconstruct highly undersampled dynamic MRA to achieve high temporal and spatial resolution simultenously. However, for extremely high undersampling factor (>100) or/with reduced sparsity, severe undersampling artifacts not only contaminate the image, but also cause signal "crosstalk" from distant vessels, which appears as early enhanced veins or prolonged enhanced arteries. In this project, we integrate Parallel imaging and CS to eliminate undersampling artifacts before HYPR algorithm, such that the waveform fidelity of small vessels can be improved, at the same time, CS related artifacts and SNR can be improved by Hybrid HYPR technique.