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Gang G, Mark P, Cockshott P, et al. Measurement of pulse wave velocity using magnetic resonance imaging. Conf Proc IEEE Eng Med Biol Soc. 2004;2004:3684-7doi: 10.1109/IEMBS.2004.1404035.
Gang, G., Mark, P., Cockshott, P., Foster, J., Martin, T., Blyth, K., Steedman, T., Elliott, A., Dargie, H., & Groenning, B. (2004). Measurement of pulse wave velocity using magnetic resonance imaging. Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, 20043684-7. https://doi.org/10.1109/IEMBS.2004.1404035
Gang, Gao, et al. "Measurement of pulse wave velocity using magnetic resonance imaging." Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference vol. 2004 (2004): 3684-7. doi: https://doi.org/10.1109/IEMBS.2004.1404035
Gang G, Mark P, Cockshott P, Foster J, Martin T, Blyth K, Steedman T, Elliott A, Dargie H, Groenning B. Measurement of pulse wave velocity using magnetic resonance imaging. Conf Proc IEEE Eng Med Biol Soc. 2004;2004:3684-7. doi: 10.1109/IEMBS.2004.1404035. PMID: 17271093.
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Conf Proc IEEE Eng Med Biol Soc. 2004;2004:3684-7. doi: 10.1109/IEMBS.2004.1404035.

Measurement of pulse wave velocity using magnetic resonance imaging.

Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference

Gao Gang, Patrick Mark, Paul Cockshott, John Foster, Thomas Martin, Kevin Blyth, Tracey Steedman, Alex Elliott, Henry Dargie, Bjoern Groenning

Affiliations

  1. Glasgow Cardiac Magnetic Resonance Unit, Glasgow University, UK.

PMID: 17271093 DOI: 10.1109/IEMBS.2004.1404035

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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