Method and apparatus for elasticity imaging

Surgery – Diagnostic testing – Detecting nuclear – electromagnetic – or ultrasonic radiation

Reexamination Certificate

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C600S438000

Reexamination Certificate

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11014320

ABSTRACT:
A computational efficient algorithm for compression analysis of free-hand static elasticity imaging performed using medical diagnostic ultrasound imaging equipment offers tissue compression quality and quantity feedback to the operator. The algorithm includes a criterion for automatic selection of the most advantageous pre- and post-compression frame pairs delivering elasticity images of optimal dynamic ranges (DR) and signal-to-noise ratios (SNR). The use of the algorithm in real time eases operator training and reduces significantly the amount of artifact in the elasticity images while lowering the computational burden.

REFERENCES:
patent: 6508768 (2003-01-01), Hall et al.
Tsuyoshi Shiina et al., Clinical Assessment of Real-Time, Freehand Elasticity Imaging System Based on the Combined Autocorrelation Method, IEEE Ultrasonics Symposium, 2003, pp. 664-667.
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Brian S. Garra et al., Elastography of Breast Lesions: Initial Clinical Results, Breast Imaging, Jan. 1997, pp. 79-86.
Faouzi Kallel et al., Elastographic Imaging of Low-Contrast Elastic Modulus Distributions in Tissue, Ultrasound in Medicine and Biology, 1998, pp. 409-425, vol. 24, No. 3.
Thomas A. Krouskop et al., Elastic Moduli of Breast and Prostate Tissues under Compression, Ultrasonic Imaging, 1998, pp. 260-274.
Elisa E. Konofagou et al., Myocardial Elastography-A Feasibility Study in Vivo, Ultrasound in Medicine and Biology, 2002, p. 475-482, vol. 28, No. 4.
S. Srinivasan et al., Trade-Offs Between the Axial Resolution and the Signal-to-Noise Ratio in Elastography, Ultrasound in Medicine and Biology, 2003, pp. 847-866, vol. 29, No. 6.

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