Internal displacement and strain imaging using ultrasonic speckle tracking

O’Donnell, Matthew; Skovoroda, A.R.; Shapo, B.M.; Emelianov, Stanislav

doi:10.1109/58.285465

Cited by 648 publications

(384 citation statements)

References 33 publications

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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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“…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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“…Elastography or elasticity imaging has developed into an imaging modality for the diagnosis of abnormalities in the breast, prostate, thyroid, liver and kidneys, as well as for intravascular atherosclerotic plaque characterization applications (Parker et al 1990;Ophir et al 1991;O'Donnell et al 1994;Chen et al 1995;Bamber and Bush 1996;de Korte et al 2000;Pesavento et al 2000;Insana et al 2001;Nightingale et al 2001;Varghese et al 2001). Elastography also enhances the capability for imaging and monitoring thermal ablative therapies for cancer treatment in organs such as the liver, kidney and prostate that are not clearly visualized under conventional ultrasound (US) imaging (Stafford et al 1998;Righetti et al 1999;Varghese et al 2002Varghese et al , 2003Souchon et al 2003).…”

Section: Introductionmentioning

confidence: 99%

“…Elastography also enhances the capability for imaging and monitoring thermal ablative therapies for cancer treatment in organs such as the liver, kidney and prostate that are not clearly visualized under conventional ultrasound (US) imaging (Stafford et al 1998;Righetti et al 1999;Varghese et al 2002Varghese et al , 2003Souchon et al 2003). Different types of perturbation or mechanical stimuli, such as quasistatic compression (Ophir et al 1991;O'Donnell et al 1994;Hall et al 2003), dynamic vibration (Parker et al 1990;Dutt et al 2000) or acoustic radiation force (Nightingale et al 2001;Fatemi et al 2002;Lizzi et al 2003), have been used to calculate local tissue displacements or strains, revealing a profile of local stiffness changes in biologic tissue. These stiffness variations provide new information on the pathologic state of tissue, enabling its application for diagnosis of disease.…”

Section: Introductionmentioning

confidence: 99%

Improvements in elastographic contrast-to-noise ratio using spatial-angular compounding

Techavipoo¹,

Varghese²

2005

Ultrasound in Medicine & Biology

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Spatial-angular compounding is a new technique developed for improving the signal-to-noise ratio (SNR) in elastography. Under this method, elastograms of a region-of-interest (ROI) are obtained from a spatially weighted average of local strain estimated along different insonification angles. In this article, we investigate the improvements in the strain contrast and contrast-to-noise ratio (CNR) of the spatially compounded elastograms. Spatial angular compounding is also applied and evaluated in conjunction with global temporal stretching. Quantitative experimental results obtained using a single-inclusion tissue-mimicking phantom demonstrate that the strain contrast reduces slightly but the CNR improves by around 8 to 13 dB. We also present experimental spatial angular compounding results obtained from an in vitro thermal lesion in canine liver tissue embedded in a gelatin phantom that demonstrate the improved visual characteristics (due to the improved CNR) of the compound elastogram. The experimental results provide guidelines for the practical range of maximum insonification angles and estimates of the optimum angular increment.

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“…Such an analysis is commonly used in ultrasonic medical imaging to observe the flow velocity in blood vessels using the blood cells as scatters. The cross-correlation between two consecutive ultrasonic images is calculated to determine the displacement of the groups of scatterers, and then of the blood flow, according to the axial direction of the imaging system [6,7].…”

Section: Ultrasonic Imagingmentioning

confidence: 99%

Ultrasonic speckle correlation imaging of 2D particle velocity profiles in multiphase flows

Carlson

Ing

2003

Flow Measurement and Instrumentation

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Two-dimensional ultrasonic speckle correlation velocimetry (USV) is a new technique that allows imaging of moving scattering media, at a high frame-rate. In this paper we apply the technique to determine two-dimensional particle velocity profiles of multiphase flows. Experiments are realized with suspensions of Sonazoid (medical contrast agent) and Magnetite (Fe 3 O 4 ) in water. All measurements are performed in a vertical pipe with the flow moving downwards. The two-dimensional particle velocity profiles are then compared with a reference liquid volume flow velocity. As expected from theory, the heavier Magnetite particles have slightly higher velocity than the liquid, whereas the contrast agent simply follows the liquid motion.The proposed technique can be used in combination with other techniques to measure the mass flow of the solid phase, in solid/liquid multiphase flow. This is generally more interesting than measuring the bulk mass or volume flow. 

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Internal displacement and strain imaging using ultrasonic speckle tracking

Cited by 648 publications

References 33 publications

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

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

Improvements in elastographic contrast-to-noise ratio using spatial-angular compounding

Ultrasonic speckle correlation imaging of 2D particle velocity profiles in multiphase flows

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