Speckle tracking methods for ultrasonic elasticity imaging using short-time correlation

Lubinski, M.A.; Emelianov, Stanislav; O’Donnell, Matthew

doi:10.1109/58.741427

Cited by 348 publications

(262 citation statements)

References 32 publications

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“…In ultrasonic imaging, techniques for motion estimation, that is for estimation of the displacement between two image regions, comprise an active field of research [30][31][32][33][34] and have been used successfully for elasticity imaging, phase aberration correction, blood velocity estimation and other applications. In these areas, motion estimation is typically called speckle tracking or time-delay estimation.…”

Section: Apparent Image Motion and Tracking Echo Shiftsmentioning

confidence: 99%

Non-invasive estimation of hyperthermia temperatures with ultrasound

Arthur

Straube

Trobaugh

et al. 2005

International Journal of Hyperthermia

205

134

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Ultrasound is an attractive modality for temperature monitoring because it is non-ionizing, convenient, inexpensive and has relatively simple signal processing requirements. This modality may be useful for temperature estimation if a temperature-dependent ultrasonic parameter can be identified, measured and calibrated. The most prominent methods for using ultrasound as a non-invasive thermometer exploit either (1) echo shifts due to changes in tissue thermal expansion and speed of sound (SOS), (2) variation in the attenuation coefficient or (3) change in backscattered energy from tissue inhomogeneities. The use of echo shifts has received the most attention in the last decade. By tracking scattering volumes and measuring the time shift of received echoes, investigators have been able to predict the temperature from a region of interest both theoretically and experimentally in phantoms, in isolated tissue regions in vitro and preliminary in vivo studies. A limitation of this method for general temperature monitoring is that prior knowledge of both SOS and thermalexpansion coefficients is necessary. Acoustic attenuation is dependent on temperature, but with significant changes occurring only at temperatures above 50 C, which may lead to its use in thermal ablation therapies. Minimal change in attenuation, however, below this temperature range reduces its attractiveness for use in clinical hyperthermia. Models and measurements of the change in backscattered energy suggest that, over the clinical hyperthermia temperature range, changes in backscattered energy are dependent on the properties of individual scatterers or scattering regions. Calibration of the backscattered energy from different tissue regions is an important goal of this approach. All methods must be able to cope with motion of the image features on which temperature estimates are based. A crucial step in identifying a viable ultrasonic approach to temperature estimation is its performance during in vivo tests.

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Section: Apparent Image Motion and Tracking Echo Shiftsmentioning

confidence: 99%

Non-invasive estimation of hyperthermia temperatures with ultrasound

Arthur

Straube

Trobaugh

et al. 2005

International Journal of Hyperthermia

205

134

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“…12,13 Estimated displacements were accumulated in 0.3% to 0.6% compression steps. 14 The gradient of the axial displacements was used to calculate strain.…”

Section: Derivation Of the Correlation Coefficient From 2-dimensionalmentioning

confidence: 99%

Diagnosing Cysts With Correlation Coefficient Images From 2-Dimensional Freehand Elastography

Booi

Carson

O’Donnell

et al. 2007

Journal of Ultrasound in Medicine

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Objective. We compared the diagnostic potential of using correlation coefficient images versus elastograms from 2-dimensional (2D) freehand elastography to characterize breast cysts. Methods. In this preliminary study, which was approved by the Institutional Review Board and compliant with the Health Insurance Portability and Accountability Act, we imaged 4 consecutive human subjects (4 cysts, 1 biopsy-verified benign breast parenchyma) with freehand 2D elastography. Data were processed offline with conventional 2D phase-sensitive speckle-tracking algorithms. The correlation coefficient in the cyst and surrounding tissue was calculated, and appearances of the cysts in the correlation coefficient images and elastograms were compared. Results. The correlation coefficient in the cysts was considerably lower (14%-37%) than in the surrounding tissue because of the lack of sufficient speckle in the cysts, as well as the prominence of random noise, reverberations, and clutter, which decorrelated quickly. Thus, the cysts were visible in all correlation coefficient images. In contrast, the elastograms associated with these cysts each had different elastographic patterns. The solid mass in this study did not have the same high decorrelation rate as the cysts, having a correlation coefficient only 2.1% lower than that of surrounding tissue. Conclusions. Correlation coefficient images may produce a more direct, reliable, and consistent method for characterizing cysts than elastograms.

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“…The elastic properties of tissues cannot be measured directly, so a mechanical disturbance must be applied and the resulting response is then evaluated. We can categorize elasticity imaging approaches into static (strain based), dynamic (wave based), and mechanical (stress based) methods [8]. Strain based approach is imaging internal motion under static deformation; dynamic approach is imaging shear wave propagation; and mechanical approach is measuring surface stress distribution.…”

Section: Elasticity Imagingmentioning

confidence: 99%

“…The echo signal acquired after compression is thus assumed to be a delayed replica of the pre-compression signal. The local tissue displacement is in this case ( Figure 2) a simple shift that can be computed as the location of the maximum of the cross-correlation function of gated pre-and post-compression echo signals [8] or as the zero of the phase of the complex correlation function of the corresponding base-band signals [9]. Irrespective to any given Time Delay Estimation (TDE) technique, these methods remain accurate only for very small deformations [0-2%] and fail rapidly with increasing strains, because they ignore the signal shape variation induced by the physical compression of the medium.…”

Section: Elasticity Imagingmentioning

confidence: 99%

Robotic Strain Imaging for Monitoring Thermal Ablation of Liver

Boctor

Fichtinger

Yeung

et al. 2004

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2004

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Abstract. This report describes our initial in vitro results with roboticallyassisted strain imaging for intraoperative monitoring of hepatic tumor thermal ablation. First, we demonstrate a strong correlation between thermal ablation of liver tissue and changes in elastic properties. Second, we present an experimental environment to provide controlled robotically-assisted compression of liver tissue with concurrent ultrasonic reading. Third, we present B-mode strain images of thermally treated liver samples, where the strain images corresponded to the boundaries of histologically confirmed necrosis.

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Speckle tracking methods for ultrasonic elasticity imaging using short-time correlation

Cited by 348 publications

References 32 publications

Non-invasive estimation of hyperthermia temperatures with ultrasound

Non-invasive estimation of hyperthermia temperatures with ultrasound

Diagnosing Cysts With Correlation Coefficient Images From 2-Dimensional Freehand Elastography

Robotic Strain Imaging for Monitoring Thermal Ablation of Liver

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