The invention provides for a medical imaging system (100, 300, 500, 600) comprising: a memory (110) for storing machine executable instructions (120); a processor (106) for controlling the medical instrument. Execution of the machine executable instructions causes the processor to: receive (200) MRF magnetic resonance data (122) acquired according to an MRF magnetic resonance imaging protocol of a region of interest (310); reconstruct (202) an MRF vector (124) for each voxel of a set of voxels descriptive of the region of interest using the MRF magnetic resonance data according to the MRF magnetic resonance imaging protocol; calculate (204, 714) a preprocessed MRF vector (126) for each of the set of voxels by applying a predetermined preprocessing routine to the MRF vector for each voxel, wherein the predetermined preprocessing routine comprises normalizing the preprocessed MRF vector for each voxel; calculate (206, 716) an outlier map (130) for the set of voxels by assigning an outlier score (800) to the preprocessed MRF vector using a machine learning algorithm.
ANOMALY DETECTION USING MAGNETIC RESONANCE FINGERPRINTING