Accelerated Variable Flip Angle T1 Mapping Via View Sharing of Pseudo-Random Sampled Higher Order K-Space

Jason Su¹, Manojkumar Saranathan¹, Brian Rutt¹

A view-sharing methodology in which higher order k-space samples are shared between data frames is applied along the flip angle dimension of a variable flip angle T1 mapping sequence to achieve an acceleration of 2.3x with nearly negligible loss in T1 estimation. The composite-derived maps had a percent error median of 0.104% and a 5-to-95 percentile range of -5.216% to 5.192%. Composite image quality and T1 map fidelity was dramatically improved by correcting mixed data with a scale factor based on values in the fully sampled center of k-space. The 5-to-95 percent error range shrank by a factor of 1.67.