Sono-Elasticity: Medical Elasticity Images Derived from Ultrasound Signals in Mechanically Vibrated Targets

Lerner, Robert M.; Parker, Kevin J.; Holen, Jarle; Gramiak, Raymond; Waag, Robert C.

doi:10.1007/978-1-4613-0725-9_31

Cited by 195 publications

(101 citation statements)

References 8 publications

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“…With this modality, vibrational amplitude is a surrogate for tissue stiffness whereby regions of higher displacement amplitudes denote soft tissues and those of lower amplitudes represent stiffer tissues. In theory, stiff cancerous masses vibrate less compared to the surrounding healthy tissue [28] and appear as dark deficits in sonoelastographic images (termed sonoelastograms).…”

Section: Qualitative Assessment Of the Elastic Properties Of Prostatementioning

confidence: 99%

“…Sonoelastography is a tissue elasticity imaging technique that estimates the amplitude response of tissues under harmonic mechanical excitation using ultrasonic Doppler techniques [28]. Due to a relationship between particle vibrational response and received Doppler spectral variance [29], the amplitude of low frequency shear waves propagating in tissue can be visualized in real-time using sonoelastography to detect regions of abnormal stiffness [30].…”

Section: Introductionmentioning

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: Qualitative Assessment Of the Elastic Properties Of Prostatementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Tissue elasticity properties as biomarkers for prostate cancer

Hoyt

Castaneda

Zhang

et al. 2008

CBM

Self Cite

268

182

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show abstract

“…In the past two decades, five major elasticity imaging modalities have been established to non-invasively image hard lesions in soft tissues based on their elasticity contrast. They are either ultrasound (US)-based approaches such as vibration sonoelastography (Krouskop et al 1987;Lerner et al 1988;Parker et al 1990;Yamakoshi et al 1990), compression elastography (Ophir et al 1991), transient elastography (Catheline et al 1999;Sandrin et al 2002a;Sandrin et al 2002b) and acoustic radiation force (ARF)-related imaging (Bercoff et al 2004;Fatemi and Greenleaf 1998;Nightingale et al 2001;Sarvazyan et al 1998), or magnetic resonance (MR) imaging-based approaches such as static MR elastography (MRE) (Fowlkes et al 1995;Plewes et al 1995) and dynamic MRE (Bishop et al 1998;Muthupillai et al 1995). Some of those noninvasive techniques have also been applied to measure soft tissue mechanical parameters directly.…”

Section: Introductionmentioning

confidence: 99%

Congruence of Imaging Estimators and Mechanical Measurements of Viscoelastic Properties of Soft Tissues

Zhang

Castaneda

et al. 2007

Ultrasound in Medicine & Biology

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112

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Biomechanical properties of soft tissues are important for a wide range of medical applications, such as surgical simulation and planning and detection of lesions by elasticity imaging modalities. Currently, the data in the literature is limited and conflicting. Furthermore, to assess the biomechanical properties of living tissue in vivo, reliable imaging-based estimators must be developed and verified. For these reasons we developed and compared two independent quantitative methods -crawling wave estimator (CRE) and mechanical measurement (MM) for soft tissue characterization. The CRE method images shear wave interference patterns from which the shear wave velocity can be determined and hence the Young's modulus can be obtained. The MM method provides the complex Young's modulus of the soft tissue from which both elastic and viscous behavior can be extracted. This article presents the systematic comparison between these two techniques on the measurement of gelatin phantom, veal liver, thermal-treated veal liver, and human prostate. It was observed that the Young's moduli of liver and prostate tissues slightly increase with frequency. The experimental results of the two methods are highly congruent, suggesting CRE and MM methods can be reliably used to investigate viscoelastic properties of other soft tissues, with CRE having the advantages of operating in nearly real time and in situ.

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“…When the imaging methods were first proposed, the excitation source was obtained and considered as the physiological pulsation of the tissue itself, and ultrasound was used to monitor the tissue response [9,10]. Then, dynamic methods were introduced, where dynamic external vibration is used to create shear waves inside the tissue to be studied (Sonoelasticity) [11] and methods using external static compression for mechanical excitation (strain imaging) [12]. www.ijacsa.thesai.org…”

Section: Literature Reviewmentioning

confidence: 99%

On Shear Wave Speed Estimation for Agar-Gelatine Phantom

Ahmed¹,

Salem²,

Seddik³

et al. 2016

ijacsa

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Abstract-Conventional imaging of diagnostic ultrasound is widely used. Although it makes the differences in the soft tissues echogenicities' apparent and clear, it fails in describing and estimating the soft tissue mechanical properties. It cannot portray their mechanical properties, such as the elasticity and stiffness. Estimating the mechanical properties increases chances of the identification of lesions or any pathological changes. Physicians are now characterizing the tissue's mechanical properties as diagnostic metrics. Estimating the tissue's mechanical properties is achieved by applying a force on the tissue and calculating the resulted shear wave speed. Due to the difficulty of calculating the shear wave speed precisely inside the tissue, it is estimated by analyzing ultrasound images of the tissue at a very high frame rate. In this paper, the shear wave speed is estimated using finite element analysis. A model is constructed to simulate the tissue's mechanical properties. For a generalized soft tissue model, Agar-gelatine model is used because it has properties similar to that of the soft tissue. A point force is applied at the center of the proposed model. As a result of this force, a deformation is caused. Peak displacements are tracked along the lateral dimension of the model for estimating the shear wave speed of the propagating wave using the Time-To-Peak displacement (TTP) method. Experimental results have shown that the estimated speed of the shear wave is 5.2 m/sec. The speed value is calculated according to shear wave speed equation equals about 5.7 m/sec; this means that our speed estimation system's accuracy is about 91 %, which is reasonable shear wave speed estimation accuracy with a less computational power compared to other tracking methods.

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Sono-Elasticity: Medical Elasticity Images Derived from Ultrasound Signals in Mechanically Vibrated Targets

Cited by 195 publications

References 8 publications

Tissue elasticity properties as biomarkers for prostate cancer

Tissue elasticity properties as biomarkers for prostate cancer

Congruence of Imaging Estimators and Mechanical Measurements of Viscoelastic Properties of Soft Tissues

On Shear Wave Speed Estimation for Agar-Gelatine Phantom

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