Fundamentals of turbulent flow spectrum imaging.

ABSTRACT:

Purpose

To introduce a mathematical framework and in-silico validation of turbulent flow spectrum imaging (TFSI) of stenotic flow using phase-contrast MRI, evaluate systematic errors in quantitative turbulence parameter estimation, and propose a novel method for probing the Lagrangian velocity spectra of turbulent flows.

Theory and methods

The spectral response of velocity-encoding gradients is derived theoretically and linked to turbulence parameter estimation including the velocity autocorrelation function spectrum. Using a phase-contrast MRI simulation framework, the encoding properties of bipolar gradient waveforms with identical first gradient moments but different duration are investigated on turbulent flow data of defined characteristics as derived from computational

SUBMITTER: Dillinger H 

PROVIDER: S-EPMC9299145 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature