DocumentCode
2319492
Title
Automated and accurate measurement of aortic pulse wave velocity using magnetic resonance imaging
Author
Giri, S.S. ; Ding, Y. ; Nishijima, Y. ; Pedraza-Toscano, A. ; Burns, P.M. ; Hamlin, R.L. ; Simonetti, O.P.
Author_Institution
Ohio State Univ., Columbus, OH
fYear
2007
fDate
Sept. 30 2007-Oct. 3 2007
Firstpage
661
Lastpage
664
Abstract
Arterial stiffness is thought to be 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.
Keywords
biomechanics; biomedical MRI; blood vessels; cardiovascular system; elasticity; image segmentation; medical image processing; aortic pulse wave velocity; arterial stiffness; automatic vis-a-vis aortic segmentation; cardiovascular risk; magnetic resonance imaging; user subjectivity; Biomedical imaging; Cardiology; Fluid flow measurement; Image resolution; Magnetic resonance imaging; Pressure measurement; Pulse measurements; Surface waves; Time measurement; Velocity measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Computers in Cardiology, 2007
Conference_Location
Durham, NC
ISSN
0276-6547
Print_ISBN
978-1-4244-2533-4
Electronic_ISBN
0276-6547
Type
conf
DOI
10.1109/CIC.2007.4745572
Filename
4745572
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