Magnetic Resonance Fingerprinting (MRF) is novel imaging technique, which allows fast production of quantitative Magnetic Resonance (MR) images, which yield superior sensitivity to various diseases and is less prone to imaging artefacts. To date, the slowness of quantitative MR imaging has been the bottleneck hindering its clinical applicability. As MRF is an emerging imaging technique, few clinical studies on the musculoskeletal system exist currently. In this project, the new MRF sequences are developed, and MRF and Deep Learning based synthetic MR images are deployed within clinical setup: the synthetic MR images are compared to conventional MR images in the imaging of joints and extremities. If successful, the MRF has potential to introduce a “ten-minute scan” to the diagnostic realm as the single multiparametric acquisition will include all the MR imaging data needed for the diagnosis.

2024

2028