Literature DB >> 24817676

Wall shear stress calculations based on 3D cine phase contrast MRI and computational fluid dynamics: a comparison study in healthy carotid arteries.

Merih Cibis1, Wouter V Potters, Frank J H Gijsen, Henk Marquering, Ed vanBavel, Antonius F W van der Steen, Aart J Nederveen, Jolanda J Wentzel.   

Abstract

Wall shear stress (WSS) is involved in many pathophysiological processes related to cardiovascular diseases, and knowledge of WSS may provide vital information on disease progression. WSS is generally quantified with computational fluid dynamics (CFD), but can also be calculated using phase contrast MRI (PC-MRI) measurements. In this study, our objectives were to calculate WSS on the entire luminal surface of human carotid arteries using PC-MRI velocities (WSSMRI ) and to compare it with WSS based on CFD (WSSCFD ). Six healthy volunteers were scanned with a 3 T MRI scanner. WSSCFD was calculated using a generalized flow waveform with a mean flow equal to the mean measured flow. WSSMRI was calculated by estimating the velocity gradient along the inward normal of each mesh node on the luminal surface. Furthermore, WSS was calculated for a down-sampled CFD velocity field mimicking the MRI resolution (WSSCFDlowres ). To ensure minimum temporal variation, WSS was analyzed only at diastole. The patterns of WSSCFD and WSSMRI were compared by quantifying the overlap between low, medium and high WSS tertiles. Finally, WSS directions were compared by calculating the angles between the WSSCFD and WSSMRI vectors. WSSMRI magnitude was found to be lower than WSSCFD (0.62 ± 0.18 Pa versus 0.88 ± 0.30 Pa, p < 0.01) but closer to WSSCFDlowres (0.56 ± 0.18 Pa, p < 0.01). WSSMRI patterns matched well with those of WSSCFD. The overlap area was 68.7 ± 4.4% in low and 69.0 ± 8.9% in high WSS tertiles. The angles between WSSMRI and WSSCFD vectors were small in the high WSS tertiles (20.3 ± 8.2°), but larger in the low WSS tertiles (65.6 ± 17.4°). In conclusion, although WSSMRI magnitude was lower than WSSCFD , the spatial WSS patterns at diastole, which are more relevant to the vascular biology, were similar. PC-MRI-based WSS has potential to be used in the clinic to indicate regions of low and high WSS and the direction of WSS, especially in regions of high WSS.
Copyright © 2014 John Wiley & Sons, Ltd.

Entities:  

Keywords:  CFD; carotid arteries; phase contrast MRI; shear stress

Mesh:

Year:  2014        PMID: 24817676     DOI: 10.1002/nbm.3126

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  27 in total

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Authors:  Merih Cibis; Kelly Jarvis; Michael Markl; Michael Rose; Cynthia Rigsby; Alex J Barker; Jolanda J Wentzel
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2.  Age-related changes in aortic 3D blood flow velocities and wall shear stress: Implications for the identification of altered hemodynamics in patients with aortic valve disease.

Authors:  Pim van Ooij; Julio Garcia; Wouter V Potters; S Chris Malaisrie; Jeremy D Collins; James C Carr; Michael Markl; Alex J Barker
Journal:  J Magn Reson Imaging       Date:  2015-10-19       Impact factor: 4.813

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4.  Reproducibility and interobserver variability of systolic blood flow velocity and 3D wall shear stress derived from 4D flow MRI in the healthy aorta.

Authors:  Pim van Ooij; Alexander L Powell; Wouter V Potters; James C Carr; Michael Markl; Alex J Barker
Journal:  J Magn Reson Imaging       Date:  2015-07-03       Impact factor: 4.813

5.  Characterization of abnormal wall shear stress using 4D flow MRI in human bicuspid aortopathy.

Authors:  Pim van Ooij; Wouter V Potters; Jeremy Collins; Maria Carr; James Carr; S Chris Malaisrie; Paul W M Fedak; Patrick M McCarthy; Michael Markl; Alex J Barker
Journal:  Ann Biomed Eng       Date:  2014-08-14       Impact factor: 3.934

6.  Computational fluid dynamic simulation of human carotid artery bifurcation based on anatomy and volumetric blood flow rate measured with magnetic resonance imaging.

Authors:  Hamidreza Gharahi; Byron A Zambrano; David C Zhu; J Kevin DeMarco; Seungik Baek
Journal:  Int J Adv Eng Sci Appl Math       Date:  2016-02-02

7.  Bilateral Multiband 4D Flow MRI of the Carotid Arteries at 7T.

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Journal:  Magn Reson Med       Date:  2020-03-18       Impact factor: 4.668

8.  Highly accelerated aortic 4D flow MRI using compressed sensing: Performance at different acceleration factors in patients with aortic disease.

Authors:  Ashitha Pathrose; Liliana Ma; Haben Berhane; Michael B Scott; Kelvin Chow; Christoph Forman; Ning Jin; Ali Serhal; Ryan Avery; James Carr; Michael Markl
Journal:  Magn Reson Med       Date:  2020-10-26       Impact factor: 4.668

9.  Hemodynamic analysis of carotid artery after endarterectomy: a preliminary and quantitative imaging study based on computational fluid dynamics and magnetic resonance angiography.

Authors:  Yuanyuan Dai; Peng Lv; Ashkan Javadzadegan; Xiao Tang; Yi Qian; Jiang Lin
Journal:  Quant Imaging Med Surg       Date:  2018-05

10.  Experimental Validation of Enhanced Magnetic Resonance Imaging (EMRI) Using Particle Image Velocimetry (PIV).

Authors:  Giacomo Annio; Ryo Torii; Andrea Ducci; Vivek Muthurangu; Victor Tsang; Gaetano Burriesci
Journal:  Ann Biomed Eng       Date:  2021-06-28       Impact factor: 3.934

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