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

作者: Kelvin Kian Loong Wong , Richard Malcolm Kelso , Stephen Grant Worthley , Prashanthan Sanders , Jagannath Mazumdar

DOI: 10.1371/JOURNAL.PONE.0004747

关键词:

摘要: Background: Motion tracking based on spatial-temporal radio-frequency signals from the pixel representation of magnetic resonance (MR) imaging a non-stationary fluid is able to provide two dimensional vector field maps. This supports underlying fundamentals motion estimation and generates new methodology for flow measurement that registration nuclear moving hydrogen nuclei in fluid. However, there need validate computational aspect approach by using velocity data we will assume as true reference information or ground truth. Methodology/Principal Findings: In this study, create vectors an ideal analytical vortex, generate artificial signal-motion image verify our approach. The computed fields are compared error estimate methodology. comparison shows simulated MR accurate robust enough mapping. To methodology, have tested configuration images cardiac blood proved theory can be applicable practically. Conclusions/Significance: results work allow us progress further investigation prediction modalities do not require encoding. article describes novel resonating blood, which may directly applied imaging.

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