Autoregressive moving average modeling for hepatic iron quantification in the presence of fat.

ABSTRACT:

Background

Measuring hepatic R2* by fitting a monoexponential model to the signal decay of a multigradient-echo (mGRE) sequence noninvasively determines hepatic iron content (HIC). Concurrent hepatic steatosis introduces signal oscillations and confounds R2* quantification with standard monoexponential models.

Purpose

To evaluate an autoregressive moving average (ARMA) model for accurate quantification of HIC in the presence of fat using biopsy as the reference.

Study type

Phantom study and in vivo cohort.

Population

Twenty iron-fat phantoms covering clinically relevant R2* (30-800 s^-1 ) and fat fraction (FF) ranges (0-40%), and 10 patients (four male, six female, mean age 18.8 years).

Field strength/sequence

2D mGRE acquisitions at 1.5 T and

SUBMITTER: Tipirneni-Sajja A 

PROVIDER: S-EPMC6785364 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature