A Bayesian approach for 4D flow imaging of aortic valve in a single breath-hold.

ABSTRACT:

Purpose

To develop and validate a data processing technique that allows phase-contrast MRI-based 4D flow imaging of the aortic valve in a single breath-hold.

Theory and methods

To regularize the ill-posed inverse problem, we extend a recently proposed 2D phase-contrast MRI method to 4D flow imaging. Adopting an empirical Bayes approach, spatial and temporal redundancies are exploited via sparsity in the wavelet domain, and the voxel-wise magnitude and phase structure across encodings is captured in a conditional mixture prior that applies regularizing constraints based on the presence of flow. We validate the proposed technique using data from a mechanical flow phantom and five healthy volunteers.

Results

The flow parameters derived from the proposed technique are in

SUBMITTER: Rich A 

PROVIDER: S-EPMC6405291 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature