Two-Dimensional Sonoelastographic Shear Velocity Imaging

Hoyt, Kenneth; Castaneda, Benjamín; Parker, Kevin J.

doi:10.1016/j.ultrasmedbio.2007.07.011

Cited by 80 publications

(85 citation statements)

References 14 publications

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“…3 (right), two mechanical sources were positioned on opposing sides of the prostate mold and crawling wave propagation was induced using source vibration frequencies of 120 Hz and 120.25 Hz. Subsequently, crawling wave sonoelastograms were processed using a shear wave speed estimator [34] and converted into images describing the Young's modulus distribution using Eqn. 2.…”

Section: Methodsmentioning

confidence: 99%

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Tissue elasticity properties as biomarkers for prostate cancer

Hoyt

Castaneda

Zhang

et al. 2008

CBM

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268

182

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In this paper we evaluate tissue elasticity as a longstanding but qualitative biomarker for prostate cancer and sonoelastography as an emerging imaging tool for providing qualitative and quantitative measurements of prostate tissue stiffness. A Kelvin-Voigt Fractional Derivative (KVFD) viscoelastic model was used to characterize mechanical stress relaxation data measured from human prostate tissue samples. Mechanical testing results revealed that the viscosity parameter for cancerous prostate tissue is greater than that derived from normal tissue by a factor of approximately 2.4. It was also determined that a significant difference exists between normal and cancerous prostate tissue stiffness (p < 0.01) yielding an average elastic contrast that increases from 2.1 at 0.1 Hz to 2.5 at 150 Hz. Qualitative sonoelastographic results show promise for cancer detection in prostate and may prove to be an effective adjunct imaging technique for biopsy guidance. Elasticity images obtained with quantitative sonoelastography agree with mechanical testing and histological results. Overall, results indicate tissue elasticity is a promising biomarker for prostate cancer.

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Section: Methodsmentioning

confidence: 99%

“…More importantly, these shear wave (interference) patterns can be visualized in real-time using sonoelastographic imaging techniques. In general, crawling wave images describe shear wave propagation patterns and allow for estimation of the spatial elastic properties in tissue, namely, shear velocity or modulus distributions [32][33][34].…”

Section: Introductionmentioning

confidence: 99%

Tissue elasticity properties as biomarkers for prostate cancer

Hoyt

Castaneda

Zhang

et al. 2008

CBM

Self Cite

268

182

View full text Add to dashboard Cite

show abstract

“…Recently, new ultrasound-based elastography methods have been introduced with the potential to map distribution of tissue elasticity thus revealing harder or softer portions within a lesion or in relation to adjacent unaffected reference tissue. Two different algorithms are currently available, one quantitative shear wave tracking system and a qualitative or semiquantitative method to map strain distribution [20][21][22][23]. Strain imaging is based on changes in radiofrequency signals reflecting strain or deformation when stress is applied on the tissue.…”

Section: Sonoelastographymentioning

confidence: 99%

High-frequency ultrasonographic imaging of the gastrointestinal wall

Ødegaard

Nesje

Lærum

et al. 2012

Expert Review of Medical Devices

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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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Two-Dimensional Sonoelastographic Shear Velocity Imaging

Cited by 80 publications

References 14 publications

Tissue elasticity properties as biomarkers for prostate cancer

Tissue elasticity properties as biomarkers for prostate cancer

High-frequency ultrasonographic imaging of the gastrointestinal wall

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

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