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Abstract #2993

High Resolution 3D Intracranial ASL Angiography Using Automatically Tuned Compressed Sensing

Huimin Wu1, Walter F. Block1, 2, Patrick Turski3, Charles A. Mistretta1, Kevin M. Johnson1

1Medical Physics, University of Wisconsin-Madison, Madison, WI, United States; 2Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States; 3Radiology, University of Wisconsin-Madison, Madison, WI, United States


Fully 3D compressed sensing was implemented with iterative soft thresholding (IST) and used for reconstruction of 3D intracranial angiograms obtained with PCASL-VIPR. A data-driven threshold selection method based on SURE (Steins Unbiased Risk Estimator) was utilized at each iteration to adaptively calculate the threshold. Standard non-iterative reconstruction, auto-tuned CS and manually tuned CS were compared on a static PCASL-VIPR dataset with an isotropic resolution of 0.43 mm. CS was able to greatly improve the SNR and vessel visualization with acceleration as high as 20X without manual parameter tuning.