MR imaging of the pancreas is challenging due to its retroperitoneal deep-sited location in the abdomen. In addition to its position, the pancreas is subject to breathing motion artifact, which limits the clinical value of pancreatic MRI. Patients with pancreatic cancer are usually very frail, which limits their tolerance to long examinations or breath-hold MRI measurements. MR Fingerprinting (MRF) is an innovative measurement technique that provides qualitative data and quantitative parameter maps from a single acquisition with the potential to reduce exam times. MRF is technically challenging due to limitations in processing capabilities, which we assess in this work.