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Related Concept Videos

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Related Experiment Video

Updated: Jan 5, 2026

3D Ultrasound Imaging: Fast and Cost-effective Morphometry of Musculoskeletal Tissue
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Ring Artifact Correction for Phase-Insensitive Ultrasound Computed Tomography.

Christian Baker, Daniel Sarno, Robert J Eckersley

    IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
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    Summary

    A new algorithm corrects ring artifacts in ultrasound computed tomography images by dynamically assessing transducer sensitivity. This method significantly reduces image errors and visual artifacts, improving image quality for better analysis.

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    Area of Science:

    • Medical Imaging
    • Biomedical Engineering
    • Signal Processing

    Background:

    • Ring and arc artifacts in ultrasound computed tomography (UCT) attenuation images stem from variations in transducer array element sensitivity.
    • These sensitivity differences cause data discontinuities (sinogram), degrading reconstructed image quality.
    • Artifact magnitude can fluctuate over time and depend on the measured attenuation.

    Purpose of the Study:

    • To develop and validate an algorithm for correcting ring artifacts in phase-insensitive UCT attenuation images.
    • To address the challenge of time-varying and attenuation-dependent transducer sensitivity variations.

    Main Methods:

    • A novel algorithm dynamically determines individual transducer sensitivity during the scan.
    • Sensitivity is calculated by comparing measurements between adjacent transducer elements.
    • A weighted mean, akin to a Kalman filter, combines sensitivity estimates, with end elements corrected assuming zero attenuation.

    Main Results:

    • The algorithm reduced the root-mean-square error (RMSE) in simulated UCT images by up to 50-fold compared to uncorrected images.
    • Visible reduction in ring and arc artifacts was observed in images reconstructed from experimental data.
    • Demonstrated effectiveness on both simulated and experimentally acquired datasets.

    Conclusions:

    • The developed algorithm effectively corrects ring artifacts in UCT attenuation imaging.
    • Dynamic sensitivity assessment and correction improve image accuracy and quality.
    • This method offers a significant advancement for artifact reduction in ultrasound computed tomography.