On the performance of T2* correction methods for quantification of hepatic fat content

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Population

Simulation models for MRI quantification of hepatic fat content

Comparison

T2* correction methods (single-T2* and dual-T2*) vs Methods without T2* correction

Design

Other

Authors

Discussion

Optimized echo parameters may improve MRI hepatic fat quantification accuracy; leaves open need for prospective validation before clinical use.

Population

Simulation models (Cramér-Rao bound analysis and Monte Carlo experiments) for MRI quantification of hepatic fat content

Intervention

T2* correction methods (single-T2* and dual-T2*)

Comparator

Methods without T2* correction

Outcome

Tradeoff between bias and variance (noise performance) for estimation of fat fractionsurrogate

Optimizing echo spacing and first echo times can significantly improve noise performance and reduce bias in MRI-based hepatic fat quantification.

Reeder et al. (2011) studied this question.

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Optimized echo parameters may improve MRI hepatic fat quantification accuracy; leaves open need for prospective validation before clinical use.