Robust Perfusion Parameter Quantification from 3D Single-Shot Multi-Delay ASL measurements

Multi-Delay single-shot ASL imaging provides accurate CBF and, in addition, ATT maps but the inherent low SNR can be challenging. State-of-the-art fitting techniques can improve the SNR in the estimated maps but typically suffer from spatial blurring. To this end, we propose a new reconstruction method with a joint TGV regularization on CBF and ATT to reconstruct sharp maps with improved noise suppression. Validation of the proposed method on a healthy subject and five stroke patients showed preservation of even small features in CBF and ATT while increasing SNR and sharpness over recent approaches.