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Updated: Jun 8, 2026

Pulse Wave Velocity Testing in the Baltimore Longitudinal Study of Aging
Published on: February 7, 2014
Nontriggered MRI quantification of aortic pulse-wave velocity
Michael C Langham1, Cheng Li, Jeremy F Magland
1Laboratory for Structural NMR Imaging, Department of Radiology, University of Pennsylvania Medical Center, Philadelphia, Pennsylvania 19104, USA.
A new high-speed MRI technique accurately measures pulse-wave velocity, an indicator of arterial stiffness and cardiovascular risk, using simple complex difference signals. This method simplifies data acquisition and processing for better cardiovascular risk assessment.
Area of Science:
- Cardiovascular Imaging
- Biomedical Engineering
- Medical Physics
Background:
- Arterial stiffness, indicated by pulse-wave velocity (PWV), is a key predictor of cardiovascular risk.
- Accurate and efficient measurement of PWV is crucial for clinical risk stratification.
Purpose of the Study:
- To introduce a novel, high-speed magnetic resonance imaging (MRI) technique for time-resolved quantification of pulse-wave velocity.
- To simplify PWV measurement by utilizing complex difference signals from velocity-encoded projections.
Main Methods:
- Developed a non-gated, high-speed MRI technique to acquire time-resolved complex difference signal intensity in the aorta.
- Estimated pulse wave propagation time from the velocity-time curve derived from signal intensity.
- Measured pulse wave path length from oblique sagittal images.
- Calculated PWV as the ratio of path length to propagation time.
Main Results:
- The technique successfully quantified PWV in healthy subjects (N=23, ages 20-70) at 1.5 T and 3 T.
- Results showed good agreement with established literature, demonstrating an age-related increase in aortic stiffness.
- Root-mean-square differences between the proposed method and retrospectively EKG-gated PC-MRI were less than 4%.
Conclusions:
- The proposed high-speed MRI method offers a simplified approach for PWV quantification.
- This technique requires only complex difference signal computation, reducing data acquisition and processing complexity.
- It provides a promising tool for assessing arterial stiffness and cardiovascular risk.
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