A method to correct background phase offset for phase-contrast MRI in the presence of steady flow and spatial wrap-around artifact.

ABSTRACT:

Purpose

Background phase offsets in phase-contrast MRI are often corrected using polynomial regression; however, correction performance degrades when temporally invariant outliers such as steady flow or spatial wrap-around artifact are present. We describe and validate an iterative method called automatic rejection of temporally invariant outliers (ARTO), which excludes these outliers from the fitting process.

Methods

The ARTO method iteratively removes pixels with large polynomial regression errors analyzed by a Gaussian mixture model fitting of the residual distribution. A total of 150 trials of a simulated phantom (75 with wrap-around artifact) and 125 phase-contrast MRI cines from 22 healthy subjects (48 with wrap-around artifact) were used for validation. Background pha

SUBMITTER: Pruitt AA 

PROVIDER: S-EPMC6372316 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature