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Dataset Information

Theory and validation of magnetic resonance fluid motion estimation using intensity flow data.


ABSTRACT:

Background

Motion tracking based on spatial-temporal radio-frequency signals from the pixel representation of magnetic resonance (MR) imaging of a non-stationary fluid is able to provide two dimensional vector field maps. This supports the underlying fundamentals of magnetic resonance fluid motion estimation and generates a new methodology for flow measurement that is based on registration of nuclear signals from moving hydrogen nuclei in fluid. However, there is a need to validate the computational aspect of the approach by using velocity flow field data that we will assume as the true reference information or ground truth.

Methodology/principal findings

In this study, we create flow vectors based on an ideal analytical vortex, and generate artificial signal-motion image da

SUBMITTER: Wong KK 

PROVIDER: S-EPMC2651647 | biostudies-literature | 2009

REPOSITORIES: biostudies-literature