Abstract #4235

Efficient algorithm for maximum likelihood estimate and confidence intervals of $$$T_1$$$ from multi-flip, multi-echo FLASH

M. Dylan Tisdall^1,2 and André J. W. van der Kouwe^1,2

¹Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, ²Radiology, Harvard Medical School, Boston, MA, United States

Multi-flip, multi-echo 3D FLASH is routinely used to estimate T1. We present a novel, efficient algorithm for finding both the ML estimate and a confidence interval for T1, given full, multi-channel data from such an experiment. Finding the ML estimate is based on minimizing a cost function. The ends of the CI are a threshold value for the same cost function, where the threshold is determined via Monte Carlo experiment based on the protocol and desired confidence level. Results from a phantom study are shown, demonstrating the value of CIs in interpreting the validity of the ML estimates.

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