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.