Three-dimensional sonoelastography: principles and practices

Taylor, Lawrence S.; Porter, Brian; Rubens, Deborah J.; Parker, Kevin J.

doi:10.1088/0031-9155/45/6/306

Cited by 157 publications

(93 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Sonoelastography images are vibration amplitude images in which stiff regions (high elastic modulus) appear as areas of low vibration relative to the surrounding softer tissue which transmits vibration more readily (19). Color Doppler is used to display the vibration differences, with high vibration displayed as bright green and low vibration as dark green.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Prostate Cancer: Three-dimensional Sonoelastography for in Vitro Detection

Taylor¹,

Rubens²,

Porter³

et al. 2005

Radiology

View full text Add to dashboard Cite

PURPOSE: To prospectively evaluate the accuracy of 3D sonoelastography for detection of prostate cancer relative to gray scale sonography in vitro.METHODS: Using an Institutional Review Board-approved, HIPAA compliant protocol with informal consent, 19 prostatectomy specimens from patients 46 to 70 years of age with biopsy proven prostate cancer were scanned in 3D using conventional B-scan and sonoelastography using vibrations above 100Hz.Step-sectioned whole-mount histology was utilized to create a 3D volume of the prostate and tumors within it. B-scan ultrasound images and regions of low vibration in the sonoelastography images (hard regions) were formatted in 3D. The lesions in the nineteen cases were analyzed as two groups: G1) pathology-confirmed tumors of 1.0 cc or greater; and G2) pathology-confirmed tumor size less than 1.0 cc. G1 cases were evaluated for B-scan ultrasound and sonoelastography vs. histology as a reference standard and were scored as either a True Positive, a False Positive, a True Negative, or a False Negative. G2 cases were evaluated for sonoelastography only. True positives required 3D lesion correlation between pathology and imaging data. Conventional definitions of accuracy and sensitivity were employed to calculate these statistics. RESULTS: G1 (7 lesions with tumor volume 1.0 cc or greater): Sonoelastography: accuracy of 55%, sensitivity of 71%. B-scan: accuracy of 17%, sensitivity of 29%. Mean tumor size is 3.1cc +/-2.1cc. G2 (22 lesions with tumor volume less than 1.0 cc). Mean tumor size is 0.32 cc +/-0.21 cc. Sonoelastography: accuracy of 34%, sensitivity of 41%, false positives: 6.CONCLUSIONS: Sonoelastography performed considerably better than gray scale sonography in the detection of prostate cancer tumors over 1 cc.

show abstract

Section: Methodsmentioning

confidence: 99%

“…Vibration was performed from a source opposite the probe with frequencies of 100-300 Hz. A combination of frequencies (chords) was used to diminish artifacts (19). The highest frequency which adequately penetrated to give a uniform vibration field was chosen.…”

Section: Scanningmentioning

confidence: 99%

Prostate Cancer: Three-dimensional Sonoelastography for in Vitro Detection

Taylor¹,

Rubens²,

Porter³

et al. 2005

Radiology

View full text Add to dashboard Cite

show abstract

“…Specifically, harmonic tissue motion, for a given sample volume, was estimated using a spectral variance algorithm applied to a series of backscattered Doppler US pulses [39]. The M12L linear array probe (General Electric Medical Systems, Milwaukee, WI, USA) was used for all ex vivo prostate imaging experiments whereas the i739L transrectal US (TRUS) probe (General Electric Medical Systems, Milwaukee, WI, USA) was used for the in vivo study.…”

Section: Elasticity Imaging Of Human Prostatementioning

confidence: 99%

Tissue elasticity properties as biomarkers for prostate cancer

Hoyt

Castaneda

Zhang

et al. 2008

CBM

268

182

View full text Add to dashboard Cite

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.

show abstract

“…Ultrasonic methods are used in the field of elastography to track tissue displacements that result from either the external compression/vibration of tissue [30], [36], [3], [17], [41], [33], [38], [15], [40], [29], [35], [23] or the excitation of the tissue using acoustic radiation force [24], [37], [34], [43], [1], [12], [13], [21], [20]. Ultrasonic tracking of speckle patterns has been well established in the literature, specifically for the tracking of blood motion [4], [5], [11] and local strain estimation in solids [28], [30].…”

Section: Introductionmentioning

confidence: 99%

Ultrasonic tracking of acoustic radiation force-induced displacements in homogeneous media

Palmeri

McAleavey

Trahey

et al. 2006

IEEE Trans. Ultrason., Ferroelect., Freq. Contr.

164

154

View full text Add to dashboard Cite

The use of ultrasonic methods to track the tissue deformation generated by acoustic radiation force is subject to jitter and displacement underestimation errors, with displacement underestimation being primarily caused by lateral and elevation shearing within the point spread function (PSF) of the ultrasonic beam. Models have been developed using finite element methods and Field II, a linear acoustic field simulation package, to study the impact of focal configuration, tracking frequency, and material properties on the accuracy of ultrasonically tracking the tissue deformation generated by acoustic radiation force excitations. These models demonstrate that lateral and elevation shearing underneath the PSF of the tracking beam leads to displacement underestimation in the focal zone. Displacement underestimation can be reduced by using tracking beams that are narrower than the spatial extent of the displacement fields. Displacement underestimation and jitter decrease with time after excitation as shear wave propagation away from the region of excitation reduces shearing in the lateral and elevation dimensions. The use of higher tracking frequencies in broadband transducers, along with 2D focusing in the elevation dimension, will reduce jitter and improve displacement tracking accuracy. Relative displacement underestimation remains constant as a function of applied force, while jitter increases with applied force. Underdeveloped speckle (SNR <1.91) leads to greater levels of jitter and peak displacement underestimation. Axial shearing is minimal over the tracking kernel lengths used in Acoustic Radiation Force Impulse (ARFI) imaging and thus does not impact displacement tracking.

show abstract

Three-dimensional sonoelastography: principles and practices

Cited by 157 publications

References 21 publications

Prostate Cancer: Three-dimensional Sonoelastography for in Vitro Detection

Prostate Cancer: Three-dimensional Sonoelastography for in Vitro Detection

Tissue elasticity properties as biomarkers for prostate cancer

Ultrasonic tracking of acoustic radiation force-induced displacements in homogeneous media

Contact Info

Product

Resources

About