Volume 12 Supplement 1

Abstracts of the 13th Annual SCMR Scientific Sessions - 2010

Open Access

Detection of time delay using cross-correlation for aortic pulse wave velocity evaluation

  • Yi Wang1,
  • Edwin Estrada1 and
  • Nathaniel Reichek1, 2
Journal of Cardiovascular Magnetic Resonance201012(Suppl 1):P144

DOI: 10.1186/1532-429X-12-S1-P144

Published: 21 January 2010


Aortic compliance (AC) can be evaluated noninvasively and its reduction with age in normals has been demonstrated with both MRI and Doppler echo methods. Aortic pulse wave velocity (PWV), a measurement of the flow pulse traveling along aorta as a surrogate of AC, can be assessed using a single breath-hold phase contrast (PC) imaging technique. Accurate determination of the time delay (Δt) between flows in ascending and descending aortic regions is critical in PWV assessment.


We studied aortic compliance using a cross correlation approach for time delay detection and evaluated the aortic compliance results correlated with age in normal volunteers.


A total of 120 healthy volunteers with informed consent (age: 59.5 ± 13.9) were screened to exclude hypertension, obesity and cardiovascular disease. Using the 'candy cane' view of aorta, an axial plane through the ascending and descending aorta at the pulmonary artery level was prescribed and a through-plane velocity encoded PC cine imaging was acquired on a 1.5 T MRI scanner. The distance traveled by the aortic pulse wave, ΔD, was determined as the distance along the central line between ascending and descending aorta in the 'candy cane' image. For Δt assessment, cross correlation algorithm was used: The cross correlations between the first halves (all flow points before the peak) of ascending and descending aortic flow curves was calculated by varying the relative time between them. The Δt was the time shift at the maximal correlation.

We then calculated PWV = ΔD/Δt and aortic compliance as AC = 1/(p*PWV2), where blood density p = 1057 kg/m3. Linear regression was used to determine the relationships between AC and age.


Aortic compliance evaluated with the cross correlation algorithm worked well on all cases without any user interaction. The mean+sd of aortic compliance in total population was (3.19 ± 4.19)*10-5/Pa (n = 120), (3.38 ± 4.91)*10-5/Pa in females (n = 65), (2.96 ± 2.99)*10-5/Pa in males (n = 55). The mean age in males was 57.47, 50.58 in females. Linear regression of the logarithm AC vs. age had an R of -0.56 in total population, with p < .0001, as illustrated in Figure. The age versus AC regression showed a stronger correlation in females than in males, as shown in Table.


The aortic compliance results in normal volunteers using a cross correlation algorithm for delay detection showed a good correlation with age. This technique is an easy approach to evaluate aortic compliance in a single breath-hold and has the potential to be an efficient clinical tool for assessment of vascular stiffness.
Table 1

The Correlation between aortic compliance and age, in total and different genders

Prob > |r| under H0: Rho = 0

Total (n = 120)

Male (n = 55)

Female (n = 65)









Figure 1

Authors’ Affiliations

St. Francis Hospital
Stony Brook University


© Wang et al; licensee BioMed Central Ltd. 2010

This article is published under license to BioMed Central Ltd.