Ze Wang1, John A. Detre2
1Dept of Psychiatry, U of Penn, Philadelphia, PA, United States; 2Dept of Neurology, Univ of Penn, Philadelphia, PA, United States
This work presents a novel denoising method for ASL perfusion MRI. Regional data coherence as well as the systematic tag-control spin labeling paradigm are explicitly utilized to reduce noise in ASL data in order to improve the SNR of ASL MRI. As compared to standard denoising routine based on spatial smoothing, the proposed method remarkably improved the CBF quantification results.