Adaptive Synthesis of Prior Image and New Acquired Data in Repetitive 3D Examinations

Guobin Li¹, Maxim Zaitsev¹, Esther Meyer², Dominik Paul², Jrgen Hennig¹

High resolution isotropic 3D MR imaging is often repeatedly performed for preoperative evaluation and postoperative follow-up. Usually only a little information is updated each time in a following examination compared to the previous one if neglecting the change of pose. an adaptive synthesis of the prior data and the new acquired data from separate 3D examinations is presented. It shows that the information synthesis can help to reduce residual aliasing artifacts in Compressed Sensing (CS) imaging with highly undersampled k-space.