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Updated: Jul 17, 2026

Ultrasound-based Pulse Wave Velocity Evaluation in Mice
Published on: February 14, 2017
Measurement of pulse wave velocity using magnetic resonance imaging
Gao Gang1, Patrick Mark, Paul Cockshott
1Glasgow Cardiac Magnetic Resonance Unit, Glasgow University, UK.
Insights
This study introduces an automated method to measure thoracic aorta length using MRI, improving the accuracy of pulse wave velocity (PWV) calculations for cardiovascular risk assessment.
Area of Science:
- Cardiovascular imaging and diagnostics
- Biomedical engineering
- Medical physics
Background:
- Arterial stiffness is a key indicator of cardiovascular disease risk.
- Pulse wave velocity (PWV) quantifies arterial stiffness but relies on accurate aortic length measurements.
- Current manual methods for measuring aortic length are subjective and inaccurate.
Purpose of the Study:
- To develop an automated method for precise thoracic aorta length measurement using MRI.
- To enable accurate, noninvasive calculation of PWV derived from aortic blood flow.
- To provide a reliable tool for detailed cardiovascular risk assessment.
Main Methods:
- Utilized magnetic resonance imaging (MRI) to acquire central aortic blood flow velocity data.
- Developed an automated algorithm to accurately locate the thoracic aorta.
- Implemented virtual measurement of the aorta length within the central aorta.
Main Results:
- The developed method automatically and accurately determines thoracic aorta length.
- This automation overcomes the subjectivity and inaccuracy of manual measurements.
- Enables reliable, noninvasive PWV calculation from MRI-derived aortic flow.
Conclusions:
- The novel, efficient, and robust automated method offers a reliable tool for PWV measurement.
- Facilitates noninvasive assessment of arterial stiffness and cardiovascular risk.
- Enhances the clinical utility of MRI in cardiovascular diagnostics.
Abstract:
Arterial stiffness has a strong relationship with cardiovascular disease. Pulse wave velocity (PWV) is increasingly used as a measure of arterial stiffness. The calculation of PWV requires accurate measurement of blood flow velocity and aortic length. Using magnetic resonance imaging (MRI), we are able to accurately acquire blood flow velocity and to virtually measure the aortic length inside the central aorta. Manual measurement of aorta length is inaccurate and subjective. In this study, we set out to develop a method which automatically locates the thoracic aorta and measures aortic length, allowing noninvasive measurement of PWV derived from the aortic flow. Our method is novel, efficient and robust. This offers a reliable and convenient tool for PWV measurement allowing detailed non invasive assessment of cardiovascular risk.
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