Assessment of the accuracy of MRI wall shear stress estimation using numerical simulations

Petersson, Sven; Dyverfeldt, Petter; Ebbers, Tino

doi:10.1002/jmri.23610

Cited by 127 publications

(171 citation statements)

References 30 publications

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“…In this work we forced an incorrect positioning of the vessel wall greater than one pixel as was analyzed by Petersson et al, 2012. We found greater dependency and errors compared to the methods studied by Petersson.…”

Section: Discussionmentioning

confidence: 74%

Quantification of wall shear stress using a finite-element method in multidimensional phase-contrast MR data of the thoracic aorta

Sotelo

Urbina

Valverde

et al. 2015

Journal of Biomechanics

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Section: Discussionmentioning

confidence: 74%

Quantification of wall shear stress using a finite-element method in multidimensional phase-contrast MR data of the thoracic aorta

Sotelo

Urbina

Valverde

et al. 2015

Journal of Biomechanics

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“…In order to quantify the effect of the flow on arterial endothelial cells, a number of hemodynamic indices has been put forward, the most common reported in the literature being the time-averaged wall shear stress (TAWSS) and the Oscillatory Shear Index (OSI). In vivo measurements of arterial WSS using current clinical imaging modalities suffer from accuracy issues [5][6], therefore modeling is the main approach to WSS estimation. In addition, individual variability makes it difficult to use imaging and experiences from larger groups to provide information on a single individual patient [7].…”

Section: Introductionmentioning

confidence: 99%

Improving Blood Flow Simulations by Incorporating Measured Subject-Specific Wall Motion

Lantz

Dyverfeldt

Ebbers

2014

Cardiovasc Eng Tech

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Phone: +4613282335, email: Jonas.Lantz@liu.se, fax: +4613281101 2 Abstract Purpose: Physiologically relevant simulations of blood flow require models that allow for wall deformation.Normally a fluid-structure interaction (FSI) approach is used; however, this method relies on several assumptions and patient-specific material parameters that are difficult or impossible to measure in vivo. Method:In order to circumvent the assumptions inherent in FSI models, aortic wall motion was measured with MRI and prescribed directly in a numerical solver. In this way is not only the displacement of the vessel accounted for, but also the interaction with the beating heart and surrounding organs. In order to highlight the effect of wall motion, comparisons with standard rigid wall models was performed in a healthy human aorta. Results:The additional computational cost associated with prescribing the wall motion was low (17%). Standard hemodynamic parameters such as time-averaged wall shear stress and oscillatory shear index seemed largely unaffected by the wall motion, as a consequence of the smoothing effect inherent in time-averaging. Conversely, instantaneous wall shear stress was greatly affected by the wall motion; the wall dynamics seemed to produce a lower wall shear stress magnitude compared to a rigid wall model. In addition, it was found that if wall motion was taken into account the computed flow field agreed better with in vivo measurements. Conclusion:This article show that it is feasible to include measured subject-specific wall motion into numerical simulations, and that the wall motion greatly affects the flow field. This approach to incorporate measured motion should be considered in future studies of arterial blood flow simulations.

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“…Although direct and precise measurement of WSS metrics (such as mean, maximum, and circumferential variation of WSS) in the clinic would therefore be highly desirable, this goal has not yet been achieved, primarily due to resolution limits of current imaging modalities. For example, WSS is non-linearly underestimated by magnetic resonance imaging (MRI) [5], while accurate measurement of velocities near the moving arterial wall via Doppler ultrasound is extremely difficult [6]. …”

Section: Introductionmentioning

confidence: 99%

Errors in the estimation of wall shear stress by maximum Doppler velocity

2013

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Objective Wall shear stress (WSS) is an important parameter with links to vascular (dys)function. Difficult to measure directly, WSS is often inferred from maximum spectral Doppler velocity (Vmax) by assuming fully-developed flow, which is valid only if the vessel is long and straight. Motivated by evidence that even slight/local curvatures in the nominally straight common carotid artery (CCA) prevent flow from fully developing, we investigated the effects of velocity profile skewing on Vmax-derived WSS. Methods Velocity profiles, representing different degrees of skewing, were extracted from the CCA of image-based computational fluid dynamics (CFD) simulations carried out as part of the VALIDATE study. Maximum velocities were calculated from idealized sample volumes and used to estimate WSS via fully-developed (Poiseuille or Womersley) velocity profiles, for comparison with the actual (i.e. CFD-derived) WSS. Results For cycle-averaged WSS, mild velocity profile skewing caused ±25% errors by assuming Poiseuille or Womersley profiles, while severe skewing caused a median error of 30% (maximum 55%). Peak systolic WSS was underestimated by ~50% irrespective of skewing with Poiseuille; using a Womersley profile removed this bias, but ±30% errors remained. Errors were greatest in late systole, when skewing was most pronounced. Skewing also introduced large circumferential WSS variations: ±60%, and up to ±100%, of the circumferentially averaged value. Conclusion Vmax-derived WSS may be prone to substantial variable errors related to velocity profile skewing, and cannot detect possibly large circumferential WSS variations. Caution should be exercised when making assumptions about velocity profile shape to calculate WSS, even in vessels usually considered long and straight.

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Assessment of the accuracy of MRI wall shear stress estimation using numerical simulations

Cited by 127 publications

References 30 publications

Quantification of wall shear stress using a finite-element method in multidimensional phase-contrast MR data of the thoracic aorta

Quantification of wall shear stress using a finite-element method in multidimensional phase-contrast MR data of the thoracic aorta

Improving Blood Flow Simulations by Incorporating Measured Subject-Specific Wall Motion

Errors in the estimation of wall shear stress by maximum Doppler velocity

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