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Improving accuracy in estimation of artery-wall displacement by referring to center frequency of RF echo

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TLDR
This error suppression was investigated through simulation experiments and in vivo experiments on the human carotid artery using a correlation estimator with quadrature demodulated complex signals.
Abstract
Noninvasive measurement of mechanical properties, such as elasticity, of the arterial wall, is useful for diagnosis of atherosclerosis. The elasticity of the arterial wall can be estimated by combining measurement of displacement of the arterial wall with that of blood pressure. In general, the displacement of the arterial wall is estimated from the phase shift of radio frequency (RF) echoes between two consecutive frames using a correlation estimator with quadrature demodulated complex signals. Recently, digitized data of broadband RF echoes are available in modern diagnostic equipment. The Fourier transform can be used to estimate the phase of the RF echo at each frequency within the RF frequency bandwidth. Therefore, the phase shifts between RF echoes of two consecutive frames can be estimated at multiple frequencies. In this estimation, due to object displacement, the RF echo is time shifted in comparison with that of the previous frame. However, the position of the time window for the Fourier transform is not changed between two consecutive frames. This change in relative position between the RF echo and the time window has a strong influence on the estimation of the artery-wall displacement, resulting in error. To suppress this error, the phase shift should be estimated at the actual RF center frequency. In this paper, this error suppression was investigated through simulation experiments and in vivo experiments on the human carotid artery.

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Real-Time Regularized Ultrasound Elastography

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Material property estimation for tubes and arteries using ultrasound radiation force and analysis of propagating modes

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Lamb wave dispersion ultrasound vibrometry (LDUV) method for quantifying mechanical properties of viscoelastic solids

TL;DR: The results suggest that the LDUV technique can be used to quantify the mechanical properties of soft tissues with a plate-like geometry.
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Error in estimates of tissue material properties from shear wave dispersion ultrasound vibrometry

TL;DR: The accuracy of the SDUV method is reported over a range of different values of mu1 and mu2 to evaluate variation of the aforementioned parameters on the estimated shear wave velocity and material property measurements and to validate the error prediction model.
References
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Journal ArticleDOI

Real-Time Two-Dimensional Blood Flow Imaging Using an Autocorrelation Technique

TL;DR: In this paper, a new blood row imaging system is described that com- bines a conventional pulsed Doppler device and a newly developed AU-to-correlator, in which the direction of blood Row and its variance are expressed by means of a difference in color and its hue, respectively.
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An axial velocity estimator for ultrasound blood flow imaging, based on a full evaluation of the Doppler equation by means of a two-dimensional autocorrelation approach

TL;DR: In this article, a 2D autocorrelator is proposed to estimate axial velocity values by evaluating the Doppler equation using explicit estimates of both the mean DoP and the mean RF frequency at each range gate location.
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Structure-dependent dynamic mechanical behavior of fibrous caps from human atherosclerotic plaques.

TL;DR: The stiffness of fibrous caps from human atherosclerotic plaques is related to the underlying histological structure and that the stiffness increases with frequency in the range of physiological heart rates.
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Static circumferential tangential modulus of human atherosclerotic tissue

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Transcutaneous measurement and spectrum analysis of heart wall vibrations

TL;DR: In this paper, a constraint least-square approach is proposed to track the movement of the heart wall based on both the phase and magnitude of the demodulated signal to determine the instantaneous position of the object so that the vibration velocity of the moving object can be accurately estimated.
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