In vivo wall shear stress measured by magnetic resonance velocity mapping in the normal human abdominal aorta

Oyre, Sten; Pedersen, Erik Morre; Ringgaard, Steffen; Boesiger, Peter; Paaske, William P.

doi:10.1016/s1078-5884(97)80097-4

Cited by 107 publications

(74 citation statements)

References 24 publications

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“…We chose ultrasound because the vessel wall boundary could be identified with good image quality in CDFI. MRI was limited in assessment of blood flow velocity because its spatial resolution is low (MRI pixel space, 0.5-1 mm), since maximal shear stress is at a distance of 250 to 300 μm from the vascular wall [17][18][19]. Moreover, it is difficult to identify the boundary of vessel wall in MRI because both vessel pixels and velocity pixels are gray scale.…”

Section: Discussionmentioning

confidence: 99%

Spatial Distribution of Wall Shear Stress in Common Carotid Artery by Color Doppler Flow Imaging

et al. 2012

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The purpose of this study is to provide a novel approach for measuring the spatial distribution of wall shear stress (WSS) in common carotid artery in vivo. WSS distributions were determined by digital image processing from color Doppler flow imaging (CDFI) in 50 healthy volunteers. In order to evaluate the feasibility of the spatial distribution, the mean values of WSS distribution were compared to the results of conventional WSS calculating method (Hagen-Poiseuille formula). In our study, the mean value of WSS distribution from 50 healthy volunteers was (6.91 ± 1.20) dyne/cm 2 , while it was (7.13 ± 1.24) dyne/cm 2 by Hagen-Poiseuille approach. The difference was not statistically significant (t 0−0.864, p 00.604). Hence, the feasibility of the spatial distribution of WSS was proved. Moreover, this novel approach could provide three-dimensional distribution of shear stress and fusion image of shear stress with ultrasonic image for each volunteer, which made WSS "visible". In conclusion, the spatial distribution of WSS could be used for WSS calculation in vivo. Moreover, it could provide more detailed values of WSS distribution than those of Hagen-Poiseuille formula.

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Section: Discussionmentioning

confidence: 99%

Spatial Distribution of Wall Shear Stress in Common Carotid Artery by Color Doppler Flow Imaging

et al. 2012

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“…In previous studies, authors were able to improve spatial resolution for approaches with 2D slices: in studies by Wood et al (18), Oyre et al (33), and Wentzel et al (34), pixel sizes between 0.5 ϫ 0.5 and 0.78 ϫ 1.37 mm 2 with slice thickness of 5-8 mm were achieved. Despite the diminished in-plane resolution used in our study, the results of WSS calculations are in excellent agreement with data from these studies, which may be attributed to the true 3D nature of our data and consequently high signal-to-noise ratio.…”

Section: Discussionmentioning

confidence: 99%

Three‐dimensional analysis of segmental wall shear stress in the aorta by flow‐sensitive four‐dimensional‐MRI

Frydrychowicz

Stalder

Russe

et al. 2009

Magnetic Resonance Imaging

164

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Purpose:To assess the distribution and regional differences of flow and vessel wall parameters such as wall shear stress (WSS) and oscillatory shear index (OSI) in the entire thoracic aorta. Materials and Methods:Thirty-one healthy volunteers (mean age ϭ 23.7 Ϯ 3.3 years) were examined by flow-sensitive four-dimensional (4D)-MRI at 3T. For eight retrospectively positioned 2D analysis planes distributed along the thoracic aorta, flow parameters and vectorial WSS and OSI were assessed in 12 segments along the vascular circumference. Conclusion:The normal distribution of vectorial WSS and OSI in the entire thoracic aorta derived from flow-sensitive 4D-MRI data provides a reference constituting an important perquisite for the examination of patients with aortic disease. Marked regional differences in absolute WSS and OSI may help explaining why atherosclerotic lesions predominantly develop and progress at specific locations in the aorta. COMPLEX VASCULAR GEOMETRY AND PULSATILE FLOW in the human arterial system lead to regionally different flow characteristics and thus spatial and temporal changes in shear forces acting on the vessel wall. These forces can be characterized by wall shear stress (WSS) or oscillatory shear index (OSI) that play an important role in flow-mediated atherogenesis and arterial remodeling (1-3). While WSS values reported in the literature typically reflect the time-averaged shear forces acting on the vessel wall, OSI describes the existence and magnitude of WSS changes over the cardiac cycle. Recent reports stressed the importance of WSS and OSI with respect to the formation and stability of atherosclerotic plaques (4). A number of studies have shown that low WSS and high OSI represent sensitive markers for formation of plaques in the aorta, carotid, or coronary arteries (5,6). Particularly, the assessment of both WSS and OSI can help to determine the complexity of the lesions. A recent study with animal models and deliberately altered flow characteristics in the carotid arteries demonstrated the close correlation of low WSS with the development of vulnerable high-risk plaques whereas high OSI induce stable lesions (4). In addition, the effects of selected pathologies on regionally-varying WSS and OSI values have been reported (7,8).Among other methods, MRI is a feasible and extensively validated technique to derive quantitative flow information from arterial vessels (9 -12). Due to its intrinsic sensitivity to flow and the possibility to acquire true time-resolved three-dimensional (3D) data, in vivo analyses of blood-flow and derived vessel wall parameters are promising. However, earlier reports on MRbased analysis of aortic hemodynamics were either based on incomplete vascular coverage and separately acquired 2D slices (13-17), a combination of MR mea-

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“…The Swedish National Infrastructure for Computing (SNIC) is acknowledged for computational resources provided by the National Supercomputer Centre (SNIC2014- [11][12][13][14][15][16][17][18][19][20][21][22] …”

Section: Acknowledgmentsmentioning

confidence: 99%

“…In vivo measurements concerning the impact of flow on the vessel wall have primarily been performed by estimating using 2D cine PC-MRI or three-dimensional, three-directional, cine PC-MRI (4D Flow MRI) velocity data (14)(15)(16)(17). As the velocity field measured with 4D…”

Section: Introductionmentioning

confidence: 99%

Assessment of turbulent flow effects on the vessel wall using four-dimensional flow MRI

et al. 2016

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PurposeTo explore the use of MR-estimated turbulence quantities for the assessment of turbulent flow effects on the vessel wall. MethodsNumerical velocity data for two patient-derived models was obtained using computational fluid dynamics (CFD) for two physiological flow rates. 4D Flow MRI measurements were simulated at three different spatial resolutions and used to investigate the estimation of turbulent wall shear stress (tWSS) using the intravoxel standard deviation (IVSD) of velocity and turbulent kinetic energy (TKE) estimated near the vessel wall. ResultsAccurate estimation of tWSS using the IVSD is limited by the spatial resolution achievable with 4D Flow MRI. TKE, estimated near the wall, has a strong linear relationship to the tWSS (mean R 2 = 0.84). Near-wall TKE estimates from MR simulations have good agreement to CFD-derived ground truth (mean R 2 = 0.90). Maps of near-wall TKE have strong visual correspondence to tWSS. ConclusionNear-wall estimation of TKE permits assessment of relative maps of tWSS, but direct estimation of tWSS is challenging due to limitations in spatial resolution. Assessment of tWSS and nearwall TKE may open new avenues for analysis of different pathologies.

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In vivo wall shear stress measured by magnetic resonance velocity mapping in the normal human abdominal aorta

Cited by 107 publications

References 24 publications

Spatial Distribution of Wall Shear Stress in Common Carotid Artery by Color Doppler Flow Imaging

Spatial Distribution of Wall Shear Stress in Common Carotid Artery by Color Doppler Flow Imaging

Three‐dimensional analysis of segmental wall shear stress in the aorta by flow‐sensitive four‐dimensional‐MRI

Assessment of turbulent flow effects on the vessel wall using four-dimensional flow MRI

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