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Phase Contrast Magnetic Resonance Imaging in the Rat Common Carotid Artery
Published on: September 5, 2018
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A method to implement the reservoir-wave hypothesis using phase-contrast magnetic resonance imaging
Robert D M Gray1, Kim H Parker2, Michael A Quail3
1CoMPLEX, University College London, London, United Kingdom.
Methodsx
|December 23, 2016
Summary
The reservoir-wave hypothesis divides blood pressure into reservoir and excess pressures. This study non-invasively derives these pressures using cardiovascular magnetic resonance imaging, showing robust and clinically applicable results.
Area of Science:
- Cardiovascular physiology
- Biomedical engineering
- Medical imaging analysis
Background:
- The reservoir-wave hypothesis offers a novel framework for understanding arterial hemodynamics.
- Traditional methods for assessing arterial pressure dynamics often require invasive measurements.
- Cardiovascular magnetic resonance (CMR) imaging provides rich, non-invasive data on blood flow and vessel dimensions.
Purpose of the Study:
- To adapt and apply the reservoir-wave hypothesis to area and velocity data obtained from cardiovascular magnetic resonance (CMR) imaging.
- To validate the non-invasive derivation of reservoir and excess pressure parameters using CMR.
- To explore the clinical utility of this non-invasive hemodynamic assessment.
Main Methods:
- Formulation of the reservoir-wave hypothesis for the area waveform.
- Analysis of high-resolution phase-contrast CMR data (area and velocity).
- Validation study on a cohort of 20 healthy subjects (age 20-74).
Main Results:
- Successful non-invasive derivation of reservoir and excess pressure parameters from CMR data.
- Method produced robust and physically reasonable hemodynamic parameters.
- The linear relationship between flow and wave pressure was maintained, consistent with traditional methods.
- The approach was validated in a diverse cohort.
Conclusions:
- The reservoir-wave hypothesis can be effectively applied to non-invasively derived CMR data.
- This method offers a robust and clinically feasible approach to assess arterial hemodynamics.
- Potential for significant clinical applications in cardiovascular disease management and research.
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