Optimizing signal patterns for MR vascular fingerprinting

MR vascular fingerprinting proposes to map vascular properties such as blood volume fraction, average vessel radius or blood oxygenation saturation (SO). The fingerprint pattern used in previous studies provides low sensitivity on SO. We optimised signal patterns built from pre and post USPIO acquisitions. Concatenation of different echoes associated with higher dimensional dictionaries led to better estimates in both healthy and tumoral tissues.