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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