Free-breathing liver fat and R2∗ quantification using motion-corrected averaging based on a nonlocal means algorithm.

ABSTRACT:

Purpose

To propose a motion-robust chemical shift-encoded (CSE) method with high signal-to-noise (SNR) for accurate quantification of liver proton density fat fraction (PDFF) and R2∗ .

Methods

A free-breathing multi-repetition 2D CSE acquisition with motion-corrected averaging using nonlocal means (NLM) was proposed. PDFF and R2∗ quantified with 2D CSE-NLM were compared to two alternative 2D techniques: direct averaging and single acquisition (2D 1ave) in a digital phantom. Further, 2D NLM was compared in patients to 3D techniques (standard breath-hold, free-breathing and navigated), and the alternative 2D techniques. A reader study and quantitative analysis (Bland-Altman, correlation analysis, paired Student's t-test) were performed to evaluate the image quality and assess

SUBMITTER: Luo H 

PROVIDER: S-EPMC7883322 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature