Correlation of shear stress with carotid plaque rupture using MRI and finite element analysis

U.-King-Im, J. M.; Li, Z.–Y.; Trivedi, Rikin; Howarth, Simon; Graves, Martin J.; Kirkpatrick, Peter J.; Gillard, Jonathan H.

doi:10.1007/s00415-005-0959-9

Cited by 6 publications

(3 citation statements)

References 16 publications

(11 reference statements)

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“…Maximum shear stress was observed at the shoulder region of the plaque, closely correlating with the site of plaque rupture on both MRI and histologic preparation. 13…”

Section: Histologic Changesmentioning

confidence: 99%

Emerging Vascular Applications of Magnetic Resonance Imaging: A Picture is Worth More than a Thousand Words

et al. 2006

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Vascular applications of magnetic resonance (MR) imaging are reviewed, with emphasis on algorithms that use nonpictorial information contained in the MR data set. Current clinical vascular practice generally limits use of MR angiography and three-dimensional vessel images to qualitative pictorial rendering without routinely using the available quantitative information contained within the MR data. This review is dedicated to recent advances that include characterization of vessel histology, assessment of carotid plaque vulnerability, characterization of blood flow dynamics, quantitative analysis of disease severity, and prediction of vascular intervention outcome. Examples from histologic preparation, in vitro and in vivo experiments, are discussed, with an emphasis on potential clinical applications and advances in acquisition technology.

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“…Maximum shear stress was observed at the shoulder region of the plaque, closely correlating with the site of plaque rupture on both MRI and histologic preparation. 13…”

Section: Histologic Changesmentioning

confidence: 99%

Emerging Vascular Applications of Magnetic Resonance Imaging: A Picture is Worth More than a Thousand Words

et al. 2006

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“…Several studies have shown that the phenomenon of plaque enlargement was associated with an increase of the fluid shear stress, i.e., the stress induced by the blood flow at the inner layer of the artery wall. [3][4][5][6] The authors then assumed that high wall shear stress could produce a thinning of the fibrous cap and thus create a rupture-prone vulnerable plaque. A close correlation between the maximum shear stress and the site of rupture was observed in human carotid plaques.…”

Section: Introductionmentioning

confidence: 99%

“…A close correlation between the maximum shear stress and the site of rupture was observed in human carotid plaques. 6 Furthermore, the occurrence of shear stress within the normal arterial wall of many arteries, such as the carotid, was recently demonstrated and the hypothesis that the longterm effect of this flow shear stress could weaken a material and increase its risk of rupture was proposed. 7 Based on intravascular ultrasound ͑IVUS͒, endovascular elastography ͑EVE͒ was introduced to assess arterial wall mechanical properties.…”

Section: Introductionmentioning

confidence: 99%

Performance evaluation of different implementations of the Lagrangian speckle model estimator for non-invasive vascular ultrasound elastography

et al. 2008

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Non-invasive vascular ultrasound elastography (NIVE) was recently introduced to characterize mechanical properties of carotid arteries for stroke prevention. Using the Lagrangian speckle model estimator (LSME), the four components of the 2D deformation matrix (delta), which are the axial strain (delta(yy)) and shear (delta(yx)) and the lateral strain (delta(xx)) and shear (delta(xy)), can be computed. This paper overviews four different implementations of the LSME and addresses their reliability. These implementations include two unconstrained (L&M and L&M+) and one constrained (ITER(c)) iterative algorithms, and one optical flow-based (OF-based) algorithm. The theoretical frameworks were supported by biomechanical simulations of a pathology-free vessel wall and by one single layer vessel-mimicking phantom study. Regarding simulations, the four LSME implementations provided similar biases on axial motion parameters, except the L&M that outperformed other methods with a minimum strain bias of -3%. LSME axial motion estimates showed good consistence with theory, namely the OF-based algorithm that in a specific instance estimated delta(yy) with no relative error on the standard deviation. With regards to lateral motion parameters, ITER(c) exhibited a minimum strain bias of -8.5% when ultrasound beam and motion mostly run parallel, whereas L&M performs strain and shear estimates with less than 23% bias independently of orientations. The in vitro vessel phantom data showed LSME delta(yy) and delta(yx) maps that were qualitatively equivalent to theory, and noisy delta(xx) and delta(xy) elastograms. In summary, the authors propose to promote the OF-based LSME as an optimal choice for further applications of NIVE, because of its reliability to compute both axial strain and shear motion parameters and because it outperformed the other implementations by a factor of 30 or more in terms of processing time.

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Noninvasive Targeting of Vulnerable Carotid Plaques for Therapeutic Interventions

Budohoski¹,

Young²,

Tang³

et al. 2010

Atherosclerosis Disease Management

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Correlation of shear stress with carotid plaque rupture using MRI and finite element analysis

Cited by 6 publications

References 16 publications

Emerging Vascular Applications of Magnetic Resonance Imaging: A Picture is Worth More than a Thousand Words

Emerging Vascular Applications of Magnetic Resonance Imaging: A Picture is Worth More than a Thousand Words

Performance evaluation of different implementations of the Lagrangian speckle model estimator for non-invasive vascular ultrasound elastography

Noninvasive Targeting of Vulnerable Carotid Plaques for Therapeutic Interventions

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