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Related Experiment Video

Updated: Feb 7, 2026

Point-of-Care Ultrasound: A Review of Ultrasound Parameters for Predicting Difficult Airways
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Spatial Prediction Filtering for Medical Ultrasound in Aberration and Random Noise.

Junseob Shin, Lianjie Huang, Jesse T Yen

    IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
    |August 4, 2018
    PubMed
    Summary

    Frequency-space prediction filtering (FXPF) improves medical ultrasound imaging quality in difficult patients. This adaptive technique outperforms existing methods for phase aberration and noise, enhancing contrast-to-noise ratio and image contrast.

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    Area of Science:

    • Medical Imaging
    • Ultrasound Technology
    • Signal Processing

    Background:

    • Medical ultrasound imaging quality is often suboptimal, particularly in patients with high fat content, leading to phase aberration and reduced signal-to-noise ratio.
    • Existing phase aberration correction (PAC) and coherence-based imaging techniques show limited success and can introduce artifacts in challenging cases.

    Purpose of the Study:

    • To introduce and evaluate the frequency-space prediction filtering (FXPF) technique for improving ultrasound image quality.
    • To compare the performance of FXPF against established PAC and coherence-based methods under varying aberration and noise conditions.

    Main Methods:

    • Employed an adaptive filtering technique, frequency-space prediction filtering (FXPF).
    • Evaluated FXPF using simulated, experimental phantom, and in vivo ultrasound data.
    • Compared FXPF performance against nearest-neighbor cross correlation (NNCC)-based PAC and generalized coherence factor (GCF).

    Main Results:

    • FXPF demonstrated high robustness across varying levels of phase aberration and noise.
    • FXPF consistently outperformed both NNCC-based PAC and GCF.
    • Significant improvements in contrast-to-noise ratio (CNR) and contrast were observed with FXPF in the presence of both noise and aberration.

    Conclusions:

    • FXPF is an effective adaptive filtering technique for enhancing ultrasound image quality in technically difficult patients.
    • FXPF offers superior performance compared to existing methods for mitigating phase aberration and random noise.
    • The findings support FXPF as a valuable tool for improving diagnostic accuracy in medical ultrasound.