Alternating low-rank tensor reconstruction for more precise and repeatable multiparametric mapping with Cardiovascular MR Multitasking

Motivation: While MR Multitasking shows initial promise as a free-breathing, non-ECG approach for multiparametric CMR, its precision and repeatability still require further improvement to match the widely adopted clinical protocols. Goal(s): To improve precision and repeatability of multiparametric mapping by cardiovascular MR Multitasking. Approach: A novel low-rank tensor reconstruction strategy was developed to improve the reconstruction performance. Numerical simulations and in-vivo studies on healthy volunteers and cardiomyopathy patients were used to evaluate the proposed technique. Results: Compared to conventional recontruction, the proposed approach showed lower RMSE in numerical simulations, and improved precision by ~20% and repeatability by ~30% in in-vivo studies. Impact: The improved cardiovascular MR Multitasking has the potential to be an efficient and subject friendly (free-breathing, non-ECG) alternative for diagnosis of CMR patients whose T1 and T2 changes are greater than 100 ms and 2 ms, e.g., amyloidosis patients.