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Windowed Radon Transform for Robust Speed-of-Sound Imaging With Pulse-Echo Ultrasound.
IEEE Transactions on Medical Imaging
|December 18, 2023
Summary
This study introduces a new ultrasound method using Radon transform for accurate speed of sound mapping in tissues. This technique improves diagnostic capabilities for conditions like fatty liver disease, even with fewer insonifications.
Area of Science:
- Medical Imaging
- Biomedical Ultrasound
- Acoustic Characterization
Background:
- Estimating tissue speed of sound with pulse-echo ultrasound is crucial for medical diagnostics, particularly for fatty liver disease.
- Current methods using restricted apertures for beamforming limit the accuracy of speed of sound (SoS) mapping.
- Aperture limitations negatively impact phase-shift estimations and the overall robustness of SoS reconstruction.
Purpose of the Study:
- To develop an improved method for estimating local phase shifts from full-aperture ultrasound images.
- To enhance the accuracy and stability of speed of sound (SoS) mapping in biological tissues.
- To facilitate the deployment of SoS estimation techniques on portable ultrasound devices.
Main Methods:
- A novel method employing the Radon transform of image patches to estimate local phase shifts.
- Utilizing full-aperture images, overcoming limitations of restricted transmit and receive apertures.
- Validation on simulated, phantom, and in-vivo liver data, with comparison to a state-of-the-art technique.
Main Results:
- The proposed Radon transform-based method demonstrates enhanced stability against beamforming SoS variations.
- The technique shows improved performance with a reduced number of insonifications.
- Accurate speed of sound maps were reconstructed from full-aperture data.
Conclusions:
- The Radon transform approach offers a more robust and accurate method for speed of sound estimation in ultrasound imaging.
- Reduced insonification requirements facilitate the integration of advanced SoS estimation into portable ultrasound systems.
- This advancement holds promise for improved non-invasive diagnosis of liver conditions and other ultrasound applications.

