310 Cross correlation on 2D PCMR velocity data to determine aortic pulse wave velocity
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Meeting abstract
310 Cross correlation on 2D PCMR velocity data to determine aortic pulse wave velocity Samuel W Fielden*1, Brandon K Fornwalt2, Michael Jerosch-Herold3, Robert L Eisner1, Arthur E Stillman1 and John N Oshinski1 Address: 1Department of Radiology, Emory University, Atlanta, GA, USA, 2Department of Biomedical Engineering, Georgia Institute of Technology/Emory University, Atlanta, GA, USA and 3Department of Medicine & Adv. Imaging Research Center, Oregon Health & Science University, Portland, OR, USA * Corresponding author
from 11th Annual SCMR Scientific Sessions Los Angeles, CA, USA. 1–3 February 2008 Published: 22 October 2008 Journal of Cardiovascular Magnetic Resonance 2008, 10(Suppl 1):A113
doi:10.1186/1532-429X-10-S1-A113
Abstracts of the 11th Annual SCMR Scientific Sessions - 2008
Meeting abstracts – A single PDF containing all abstracts in this Supplement is available here. http://www.biomedcentral.com/content/pdf/1532-429X-10-S1-info.pdfThis abstract is available from: http://jcmr-online.com/content/10/S1/A113 © 2008 Fielden et al; licensee BioMed Central Ltd.
Introduction Aortic stiffness, as measured by pulse wave velocity (PWV), is an index of cardiovascular health and has predicted mortality in several patient groups. Aortic PWV may be estimated by dividing the distance between two transverse PCMR slice locations by the time differential of flow wave arrival times (transit time method). The arrival times of the flow wave are usually determined by estimating the temporal position of the foot of the flow waveform. Alternately, a PCMR slice can be acquired in the aortic plane and the flow wave measured at many locations in the descending aorta (multi-site method). A regression line may then be fit to the data to estimate central aortic PWV. We have developed a multi-site method which contains two improvements over existing techniques. First, the arrival of the flow wave at multiple locations is estimated through a cross correlation with the most proximal waveform. Secondly, velocity data from the ascending, transverse, and descending aorta is used by acquiring twodirectional PCMR data in the aortic plane and constructing velocity magnitude images for determining the flow waveforms (2D-XC).
and descending aorta, and 2) a foot-identified multi-site method (FOOT) using descending aorta velocity data.
Methods Thirteen healthy volunteers (11 male, mean age 29.4 ± 7.4 years) with no evidence of cardiovascular disease were examined twice (separated by 2.9 ± 7.3 days) on a Philips 1.5 Tesla Intera MRI scanner. TT methodology PCMR images were obtained in two slices perpendicular to the aorta (ascending aorta and abdominal descending aorta). Average cross-section flow waves were then calculated and the wave propagation time and PWV determined. FOOT methodology An oblique sagittal PCMR slice covering the length of the aorta was acquired. Velocity waveforms were then computed at 30 evenly spaced points along the length of the descending aorta. The foot of e
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