Temperature-corrected proton density fat fraction estimation using chemical shift-encoded MRI in phantoms.

ABSTRACT:

Purpose

Chemical shift-encoded MRI (CSE-MRI) is well-established to quantify proton density fat fraction (PDFF) as a quantitative biomarker of hepatic steatosis. However, temperature is known to bias PDFF estimation in phantom studies. In this study, strategies were developed and evaluated to correct for the effects of temperature on PDFF estimation through simulations, temperature-controlled experiments, and a multi-center, multi-vendor phantom study.

Theory and methods

A technical solution that assumes and automatically estimates a uniform, global temperature throughout the phantom is proposed. Computer simulations modeled the effect of temperature on PDFF estimation using magnitude-, complex-, and hybrid-based CSE-MRI methods. Phantom experiments were performed to assess

SUBMITTER: Navaratna R 

PROVIDER: S-EPMC8432757 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature