Shear wave speed recovery using moving interference patterns obtained in sonoelastography experiments

The crawling wave experiment, in which two harmonic sources oscillate at different but nearby frequencies, is a development in sonoelastography that allows real-time imaging of propagating shear wave interference patterns. Previously the crawling wave speed was recovered and used as an indicator of shear stiffness; however, it is shown in this paper that the crawling wave speed image can have artifacts that do not represent a change in stiffness. In this paper, the locations and shapes of some of the artifacts are exhibited. In addition, a differential equation is established that enables imaging of the shear wave speed, which is a quantity strongly correlated with shear stiffness change. The full algorithm is as follows: ͑1͒ extract the crawling wave phase from the spectral variance data; ͑2͒ calculate the crawling wave phase wave speed; ͑3͒ solve a first-order PDE for the phase of the wave emanating from one of the sources; and ͑4͒ compute and image the shear wave speed on a grid in the image plane.

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“…The authors make a special note here to correct the notation in McLaughlin et al ͑2007͒. The forms of the two …”

Section: Acknowledgmentsmentioning

confidence: 99%

Shear wave speed recovery in sonoelastography using crawling wave data

Lin

McLaughlin

Renzi

et al. 2010

The Journal of the Acoustical Society of America

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“…In that case, the measured moving interference pattern would not be a single forward oscillating wave moving in one direction as it is assumed here and was previously assumed in Ref. 27.…”

Section: A Step One: Directional Filtermentioning

confidence: 91%

“…So when the spectral variance is imaged by a Doppler ultrasound machine, a moving interference pattern is visualized. The scaled phase wave speed of the moving interference pattern has been imaged by either the Arrival Time algorithm 27 or the Kasai autocorrelator. 28,29 Although the crawling wave speed image can be scaled so that it is similar to a shear wave speed image in phantoms, 16,17,27 the relationship between the crawling wave speed and the shear wave speed has been shown to be nonlinear.…”

Section: Introductionmentioning

confidence: 99%

“…The scaled phase wave speed of the moving interference pattern has been imaged by either the Arrival Time algorithm 27 or the Kasai autocorrelator. 28,29 Although the crawling wave speed image can be scaled so that it is similar to a shear wave speed image in phantoms, 16,17,27 the relationship between the crawling wave speed and the shear wave speed has been shown to be nonlinear. This nonlinear relation could produce, especially in the case of point sources, highspeed artifacts in the images of scaled crawling wave speed that do not correspond to stiff inclusions in the images of shear wave speed.…”

Section: Introductionmentioning

confidence: 99%

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Two-dimensional shear wave speed and crawling wave speed recoveries from in vitro prostate data

Lin¹,

McLaughlin

Thomas

et al. 2011

The Journal of the Acoustical Society of America

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The crawling wave experiment was developed to capture a shear wave induced moving interference pattern that is created by two harmonic vibration sources oscillating at different but almost the same frequencies. Using the vibration sonoelastography technique, the spectral variance image reveals a moving interference pattern. It has been shown that the speed of the moving interference pattern, i.e., the crawling wave speed, is proportional to the shear wave speed with a nonlinear factor. This factor can generate high-speed artifacts in the crawling wave speed images that do not actually correspond to increased stiffness. In this paper, an inverse algorithm is developed to reconstruct both the crawling wave speed and the shear wave speed using the phases of the crawling wave and the shear wave. The feature for the data is the application to in vitro prostate data, while the features for the algorithm include the following: (1) A directional filter is implemented to obtain a wave moving in only one direction; and (2) an L 1 minimization technique with physics inspired constraints is employed to calculate the phase of the crawling wave and to eliminate jump discontinuities from the phase of the shear wave. The algorithm is tested on in vitro prostate data measured at the Rochester Center for Biomedical Ultrasound and University of Rochester. Each aspect of the algorithm is shown to yield image improvement. The results demonstrate that the shear wave speed images can have less artifacts than the crawling wave images. Examples are presented where the shear wave speed recoveries have excellent agreement with histology results on the size, shape, and location of cancerous tissues in the glands.

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“…McLaughlin et al [18], and Hoyt et al [19] have applied shear stress with a bimorphic piezoelectric transducer, and measured the speed of the generated shear wave by observing its interference pattern. They were able to determine the speed of shear wave by visualizing its propagation with only amplitude images in sonoelastography.…”

Section: Techniquesmentioning

confidence: 99%

Comparison of Vibrational Displacements Generated by Different Types of Surface Source in a Soft Tissue

Park¹,

Kwon²,

Jeong³

2012

Journal of the Korean Society for Nondestructive Testing

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The propagation characteristics of a mechanical wave in human soft tissue depend on its elastic properties. Investigation of these propagation characteristics is of paramount importance because it may enable us to diagnose cancer or tumor from the vibration response of the tissue. This paper investigates and compares displacement patterns generated in soft tissue due to several forms of low-frequency vibration sources placed on a surface. Among vibration sources considered are a normal load, tangential load, and antiplane shear load. We derive analytical expressions for displacements in viscoelastic single layers, and calculate displacement patterns in half space and infinite plate type tissue. Also, we simulate the vibration response of a finite-sized tissue using finite element method. The effects of the type of stress, the size and frequency of vibration sources, and medium boundaries on displacement patterns are discussed.

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Shear wave speed recovery using moving interference patterns obtained in sonoelastography experiments

Cited by 32 publications

References 33 publications

Shear wave speed recovery in sonoelastography using crawling wave data

Shear wave speed recovery in sonoelastography using crawling wave data

Two-dimensional shear wave speed and crawling wave speed recoveries from in vitro prostate data

Comparison of Vibrational Displacements Generated by Different Types of Surface Source in a Soft Tissue

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