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Abstract #1689

Optimizing and Comparing the Efficiencies of Relaxometry Sequences in Quantitative T1 and T2 Imaging

Yang Liu 1 , John R. Buck 1 , Shaokuan Zheng 2 , and Vasiliki N. Ikonomidou 3

1 Electrical and Computer Engineering, University of Massachusetts Dartmouth, North Dartmouth, MA, United States, 2 Department of Radiology, University of Massachusetts Medical School, Worcester, MA, United States, 3 Bioengineering, George Mason University, Fairfax, VA, United States

Quantitative MRI estimates MR quantities such as T1 and T2 as precisely and accurately as possible within a relatively short scan time. Although there is extensive relaxometry research for T1/T2 mapping, little effort has been made to statistically quantify T1/T2 estimate efficiencies. This paper establishes a framework to compare different relaxometry sequences on their T1/T2 estimate precisions per unit time. The new metric T1/T2-to-noise ratio (TNR) efficiency defines from the Cramer-Rao bound, a statistical lower bound on the parameter estimate variance. This framework fairly predicts the T1/T2 mapping performances of any relaxometry approaches before phantom or in vivo experiments.

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