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Related Experiment Video

Updated: Feb 6, 2026

Wideband Optical Detector of Ultrasound for Medical Imaging Applications
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Geodesic Distances in Probabilistic Spaces for Patch-Based Ultrasound Image Processing.

Cid A N Santos, Nelson D A Mascarenhas

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |August 24, 2018
    PubMed
    Summary
    This summary is machine-generated.

    New geodesic distances improve ultrasound image processing by accurately comparing image patches corrupted by multiplicative noise, enhancing filtering and segmentation performance.

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    Area of Science:

    • Medical imaging
    • Ultrasound image processing
    • Computational geometry

    Background:

    • Patch-based methods are crucial for ultrasound image filtering and segmentation.
    • Accurate patch comparison is vital for method performance, especially with noise.
    • Existing Euclidean distance is insufficient for multiplicative noise in ultrasound images.

    Purpose of the Study:

    • To develop novel similarity measures for patch comparison in ultrasound images.
    • To address the challenge of multiplicative noise in ultrasound image processing.
    • To introduce new geodesic distances derived from parametric probabilistic spaces.

    Main Methods:

    • Deduction of new geodesic distances from parametric probabilistic spaces.
    • Application of these geodesic distances as similarity measures.
    • Implementation in patch-based ultrasound image filtering and segmentation algorithms.

    Main Results:

    • The proposed geodesic distances effectively measure patch similarity in noisy ultrasound images.
    • Demonstrated improvements in ultrasound image filtering and segmentation tasks.
    • Validation of the technique's potential through practical examples.

    Conclusions:

    • New geodesic distances offer a robust solution for patch comparison in ultrasound imaging.
    • These measures enhance the performance of patch-based filtering and segmentation.
    • The developed technique shows significant promise for advancing ultrasound image analysis.