Noise properties of proton density fat fraction estimated using chemical shift-encoded MRI.

ABSTRACT:

Purpose

The purpose of this work is to characterize the noise distribution of proton density fat fraction (PDFF) measured using chemical shift-encoded MRI, and to provide alternative strategies to reduce bias in PDFF estimation.

Theory

We derived the probability density function for PDFF estimated using chemical shift-encoded MRI, and found it to exhibit an asymmetric noise distribution that contributes to signal-to-noise-ratio dependent bias.

Methods

To study PDFF noise bias, we performed (at 1.5 T) numerical simulations, phantom acquisitions, and a retrospective in vivo experiment. In each experiment, we compared the performance of three statistics (mean, median, and maximum likelihood estimator) in estimating the PDFF in a region of interest.

Results

We demo

SUBMITTER: Roberts NT 

PROVIDER: S-EPMC5910302 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature