Measurement of systolic and diastolic arterial wall shear stress in the ascending aorta

Efstathopoulos, Efstathios; Patatoukas, George; Pantos, Ioannis; Benekos, Odysseas; Katritsis, Demosthenes G.; Kelekis, Nikolaos

doi:10.1016/j.ejmp.2008.02.001

Cited by 14 publications

(8 citation statements)

References 16 publications

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“…113 MRI can provide insight into the elastic properties of the aorta, quantify the resultant blood flow, 114 and estimate aortic wall shear stress. 115 5. Artifacts.…”

Section: G Mrimentioning

confidence: 99%

Multimodality Imaging of Diseases of the Thoracic Aorta in Adults: From the American Society of Echocardiography and the European Association of Cardiovascular Imaging

Goldstein

Evangelista

Abbara

et al. 2015

Journal of the American Society of Echocardiography

541

434

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“…113 MRI can provide insight into the elastic properties of the aorta, quantify the resultant blood flow, 114 and estimate aortic wall shear stress. 115 5. Artifacts.…”

Section: G Mrimentioning

confidence: 99%

Multimodality Imaging of Diseases of the Thoracic Aorta in Adults: From the American Society of Echocardiography and the European Association of Cardiovascular Imaging

Goldstein

Evangelista

Abbara

et al. 2015

Journal of the American Society of Echocardiography

541

434

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“…They were arranged as group 1: [2,4) dyne/cm 2 , group 2: [4, 6) dyne/cm 2 … group 14: [28, 30) dyne/cm 2 , group 15: [30, ∞) dyne/cm 2 . These 15 groups were used to show the proportion of different range in the overall WSS near the vessel wall.…”

Section: Wss Analyses Of Shear Stress Quantitative Analysis Softwarementioning

confidence: 99%

“…Several techniques have been used in clinical practice. Efstathopoulos et al [4] measured the systolic and diastolic arterial WSS in the ascending aorta by the Hagen-Poiseuille formula. Gnasso et al [5] investigated the relationship between the intima-media thickness and the WSS in CCA using the Hagen-Poiseuille formula.…”

Section: Introductionmentioning

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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“…This technique has a wide range of established applications in quantifying cardiovascular function and hemodynamics [5]. Clinical applications include evaluation of valvular heart diseases (regurgitation and stenosis), assessment of left and right ventricular stroke volume, assessment of vascular stenosis [6], evaluation of arterial wall shear stress [7].…”

Section: Ascending Aortamentioning

confidence: 99%

Coupling anatomical and functional information for the computer-aided delineation of Phase-Contrast MRI images using active contours

Trébuchet

Fasquel

Cavaro‐Ménard

et al. 2012

2012 3rd International Conference on Image Processing Theory, Tools and Applications (IPTA)

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Phase-Contrast (PC) velocimetry MRI is a useful modality to explore cardiovascular pathologies, but requires the automatic segmentation of vessels. Most existing segmentation approaches focus on the exploitation of anatomical information to guide algorithms, such as widely used active contours we consider in this paper, although acquisitions simultaneously provide functional information. Due to noisy regions surrounding vessels, it is difficult to integrate this information as a complementary guiding force for attracting contours towards vessel boundaries. As we illustrate, the recently proposed phase quality map is interesting but appears not appropriately formulated to build useful attraction forces. In this paper, a refinement is presented to overcome this issue, together with preliminary experimental results. We detail and illustrate how this refinement operates on phase information, and how the coupling of both anatomical and functional information can improve the efficiency of active contours, compared to the only use of anatomical information.

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Measurement of systolic and diastolic arterial wall shear stress in the ascending aorta

Cited by 14 publications

References 16 publications

Multimodality Imaging of Diseases of the Thoracic Aorta in Adults: From the American Society of Echocardiography and the European Association of Cardiovascular Imaging

Multimodality Imaging of Diseases of the Thoracic Aorta in Adults: From the American Society of Echocardiography and the European Association of Cardiovascular Imaging

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

Coupling anatomical and functional information for the computer-aided delineation of Phase-Contrast MRI images using active contours

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