A methodology to detect abnormal relative wall shear stress on the full surface of the thoracic aorta using four-dimensional flow MRI

Pim Van Ooij*, Wouter V. Potters, Aart J. Nederveen, Bradley D. Allen, Jeremy D Collins, James Carr, S Chris Malaisrie, Michael Markl, Alex Jonathan Barker

*Corresponding author for this work

Research output: Contribution to journalArticle

47 Scopus citations

Abstract

Purpose: To compute cohort-averaged wall shear stress (WSS) maps in the thoracic aorta of patients with aortic dilatation or valvular stenosis and to detect abnormal regional WSS. Methods: Systolic WSS vectors, estimated from four-dimensional flow MRI data, were calculated along the thoracic aorta lumen in 10 controls, 10 patients with dilated aortas, and 10 patients with aortic valve stenosis. Three-dimensional segmentations of each aorta were coregistered by group and used to create a cohort-specific aortic geometry. The WSS vectors of each subject were interpolated onto the corresponding cohort-specific geometry to create cohort-averaged WSS maps. A Wilcoxon rank sum test was used to generate aortic P-value maps (P<0.05) representing regional relative WSS differences between groups. Results: Cohort-averaged systolic WSS maps and P-value maps were successfully created for all cohorts and comparisons. The dilation cohort showed significantly lower WSS on 7% of the ascending aorta surface, whereas the stenosis cohort showed significantly higher WSS on 34% of the ascending aorta surface. Conclusions: The findings of this study demonstrated the feasibility of generating cohort-averaged WSS maps for the visualization and identification of regionally altered WSS in the presence of disease, compared with healthy controls.

Original languageEnglish (US)
Pages (from-to)1216-1227
Number of pages12
JournalMagnetic resonance in medicine
Volume73
Issue number3
DOIs
StatePublished - Mar 1 2015

Keywords

  • Aorta
  • Dilation
  • Valve stenosis
  • Wall shear stress

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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