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Related Experiment Video

Updated: Feb 1, 2026

Application of Ultrasound and Shear Wave Elastography Imaging in a Rat Model of NAFLD/NASH
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Analytical Minimization-Based Regularized Subpixel Shear-Wave Tracking for Ultrasound Elastography.

Mahmoud Derakhshan Horeh, Amir Asif, Hassan Rivaz

    IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
    |December 12, 2018
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    Two new algorithms, dynamic programming analytic minimization (DPAM) and second-order analytic minimization elastography (SESAME), improve ultrasound elastography accuracy. SESAME offers superior signal-to-noise ratio and reduced jitter for precise tissue property imaging.

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    Area of Science:

    • Biomedical Engineering
    • Medical Imaging
    • Acoustics

    Background:

    • Ultrasound elastography images tissue mechanical properties, crucial for diagnosing pathologies.
    • Shear-wave elastography (SWE) uses acoustic radiation force to generate and track shear waves for tissue property assessment.
    • Accurate tracking of minute tissue motion in ultrasound data is vital but challenging due to noise.

    Purpose of the Study:

    • To develop and evaluate computationally efficient algorithms for accurate tissue displacement estimation in SWE.
    • To compare the performance of novel algorithms, DPAM and SESAME, against the standard Normalized Cross Correlation (NCC) method.

    Main Methods:

    • Formulating tissue displacement estimation as an optimization problem.
    • Implementing DPAM using first-order Taylor series expansion for efficient optimization.
    • Developing SESAME, a novel technique utilizing second-order derivatives of the cost function.

    Main Results:

    • In simulations, SESAME and DPAM significantly outperformed NCC in signal-to-noise ratio (SNR) and jitter for micrometer-displacement estimation.
    • Reconstructed shear modulus differences were 3.41% (NCC), 1.12% (DPAM), and 1.01% (SESAME).
    • Real data showed DPAM and SESAME improved displacement estimate SNR by 7.6 dB and 9.5 dB over NCC, respectively.

    Conclusions:

    • SESAME and DPAM provide significant improvements in displacement estimation accuracy and SNR for SWE.
    • The proposed methods enhance shear modulus reconstruction, with SESAME offering further benefits through second-order approximations.