Automated and Accurate Measurement of Aortic Pulse Wave Velocity Using Magnetic Resonance Imaging

S. S. Giri, Y. Ding, Y. Nishijima, A. Pedraza-Toseano, P. M. Burns, R. L. Hamlin, O. P. Simonetti, Ieee [No Value]

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Arterial stiffness is thought to he a powerful indicator of present and possible future cardiovascular risk. Accordingly, there is an increasing interest in the non-invasive clinical measurement of arterial stiffness. The commonly used non-invasive methods assess aortic Pulse Wave Velocity (PWV) which is known to be a good indicator of aortic stiffness. These methods calculate the PWV by measuring the pressure or flow velocity, at two locations along the aorta to determine the arrival time of the pulse wave; the distance between these locations is measured either on the body surface or using high resolution images. In this study, we have developed a novel method based on MRI that calculates the aortic PWV using multiple locations along the aorta. This approach is largely automatic vis-a-vis aortic segmentation that reduces user-subjectivity; the inclusion of multiple points along aorta increases the accuracy of PWV measurement by averaging.
Original languageEnglish
Title of host publicationComputers in Cardiology, 2007
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages661-664
Number of pages4
ISBN (Print)978-1-4244-2533-4
DOIs
Publication statusPublished - 30 Oct 2007
Event34th Annual Conference on Computers in Cardiology - Duke Clinical Research Institute, Durham, North Carolina, United States
Duration: 30 Sep 20073 Oct 2007

Publication series

Name
ISSN (Print)0276-6547

Conference

Conference34th Annual Conference on Computers in Cardiology
CountryUnited States
CityDurham, North Carolina
Period30/09/073/10/07

Keywords

  • age

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