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Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking
Published on: February 12, 2011
Improved MR phase-contrast velocimetry using a novel nine-point balanced motion-encoding scheme with increased
Emil K S Espe1, Jan Magnus Aronsen, Biljana Skrbic
1Institute for Experimental Medical Research, Oslo University Hospital and University of Oslo, Oslo, Norway. ekespe@medisin.uio.no
Magnetic Resonance in Medicine
|March 7, 2012
Summary
A new nine-point balanced velocity-encoding strategy improves phase-contrast MRI (PC-MRI) velocimetry accuracy. This method reduces measurement errors, enhancing motion assessment in demanding applications like cardiac imaging.
Area of Science:
- Medical Imaging
- Biophysics
- Cardiovascular Research
Background:
- Phase-contrast MRI (PC-MRI) velocimetry offers noninvasive, high-resolution motion assessment.
- High motion sensitivity in PC-MRI necessitates strong gradients, leading to eddy current-induced baseline shift artifacts.
Purpose of the Study:
- To introduce and validate a novel nine-point balanced velocity-encoding strategy for PC-MRI.
- To enhance accuracy in scenarios with strong and rapidly changing magnetic gradients.
Main Methods:
- Development of a nine-point balanced velocity-encoding sequence.
- Validation using a rotating phantom.
- Comparison with existing methods via computer simulations and in vivo experiments.
Main Results:
- Computer simulations showed a 39-57% improvement in velocity-noise ratio, reducing measurement error by 27-33%.
- In vivo experiments demonstrated a 26-53% reduction in accumulated velocity error over the cardiac cycle.
- The new strategy proved robust and precise compared to established approaches.
Conclusions:
- The nine-point balanced PC-MRI encoding strategy offers superior accuracy and reduced error.
- This method is beneficial for applications requiring high spatial/temporal resolution and motion sensitivity, such as rodent myocardial imaging.
