Pushing the acquisition time limit of magnetic resonance diffusion tensor imaging

Magnetic resonance diffusion tensor imaging is a powerful tool and increasingly used to characterize the microstructure of ordered tissues such as the brain white matter and myocardium. However, its practical applications have been hampered by low SNR and long scan time. The current paper describes techniques combining reduced encoding imaging and constrained reconstruction that are greatly promising for breaking through these limitations.