Arterial pulse wave velocity with tissue doppler imaging

Eriksson, Anders; Greiff, E; Loupas, T.; Persson, Magnus; Pesqué, P.

doi:10.1016/s0301-5629(02)00495-7

Cited by 106 publications

(70 citation statements)

References 13 publications

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“…Tissue pulsatility imaging (TPI) is a variation of tissue Doppler imaging (Eriksson et al 2002;McDicken et al 1992) developed in our laboratory to characterize blood flow and perfusion by measuring the natural tissue expansion and relaxation over the cardiac and respiratory cycles (Beach et al 1992(Beach et al ,1993(Beach et al ,1994Kucewicz et al 2004). During systole, blood enters tissue through the arterial vasculature faster than it leaves through the venous vasculature causing blood to accumulate and the tissue to expand by a fraction of a percent.…”

Section: Introductionmentioning

confidence: 99%

Functional Tissue Pulsatility Imaging of the Brain During Visual Stimulation

Kucewicz

Dunmire

Leotta

et al. 2007

Ultrasound in Medicine & Biology

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Functional tissue pulsatility imaging (fTPI) is a new ultrasonic technique being developed to map brain function by measuring changes in tissue pulsatility due to changes in blood flow with neuronal activation. The technique is based in principle on plethysmography, an older, non-ultrasound technology for measuring expansion of a whole limb or body part due to perfusion. Perfused tissue expands by a fraction of a percent early in each cardiac cycle when arterial inflow exceeds venous outflow and relaxes later in the cardiac cycle when venous drainage dominates. Tissue pulsatility imaging (TPI) uses tissue Doppler signal processing methods to measure this pulsatile "plethysmographic" signal from hundreds or thousands of sample volumes in an ultrasound image plane. A feasibility study was conducted to determine if TPI could be used to detect regional brain activation during a visual contrast-reversing checkerboard block paradigm study. During a study, ultrasound data were collected transcranially from the occipital lobe as a subject viewed alternating blocks of a reversing checkerboard (stimulus condition) and a static, gray screen (control condition). Multivariate Analysis of Variance (MANOVA) was used to identify sample volumes with significantly different pulsatility waveforms during the control and stimulus blocks. In 7 out 14 studies, consistent regions of activation were detected from tissue around the major vessels perfusing the visual cortex.

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Section: Introductionmentioning

confidence: 99%

Functional Tissue Pulsatility Imaging of the Brain During Visual Stimulation

Kucewicz

Dunmire

Leotta

et al. 2007

Ultrasound in Medicine & Biology

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“…At comparable settings the in vitro evaluation [7] performed more than a magnitude better in reproducibility. By comparing the velocity traces in the two studies, in vivo data was found to have a considerably higher noise level.…”

Section: Discussionmentioning

confidence: 94%

“…The settings of the ultrasonic system were optimized for PWV estimation and based on the outcome of the in vitro study [7]. To avoid aliasing, the TDI velocity range had to be extended compared to the previous study.…”

Section: Number Of Pagesmentioning

confidence: 99%

“…The aim of this study was to evaluate a new improved algorithm of the method PWV estimation with TDI described by Eriksson et al [7]. The evaluation was performed in vivo and the study concentrated on operator repeatability and operator reproducibility.…”

Section: Introductionmentioning

confidence: 99%

“…As with MRI, flow waveforms in the different recording sites are not captured simultaneously but compounded off-line with the ECG signal as temporal reference. More specialized ultrasonic systems for PWV estimations allow the two recording sites to be measured simultaneously [3,6,7,12].…”

Section: Introductionmentioning

confidence: 99%

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Estimation of arterial pulse wave velocity with a new improved tissue Doppler method

Persson

Eriksson

Persson

et al.

2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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Abstract-The mechanical properties of the large arteries are important determinants in the circulation physiology. Quantities associated with vessel wall elasticity are of particular interest since they offer a possibility to separate diseased arteries from healthy. Pulse wave velocity (PWV) is a local measure of the arterial wall elasticity. This paper describes a new improved method for non-invasive local PWV estimation. The PWV estimation is based on arterial wall movements, which is detected by Tissue Doppler Imaging (TDI), a color Doppler optimized for low velocities. The TDI facility allows the artery to be measured at several positions simultaneously, which improves the PWV estimation considerably. The method is validated with respect to operator repeatability and operator reproducibility in a limited clinical study.

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Intrinsic Cardiovascular Wave and Strain Imaging

Konofagou

2018

Ultrasound Elastography for Biomedical Applications and Medicine

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Arterial pulse wave velocity with tissue doppler imaging

Cited by 106 publications

References 13 publications

Functional Tissue Pulsatility Imaging of the Brain During Visual Stimulation

Functional Tissue Pulsatility Imaging of the Brain During Visual Stimulation

Estimation of arterial pulse wave velocity with a new improved tissue Doppler method

Intrinsic Cardiovascular Wave and Strain Imaging

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