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Updated: Feb 25, 2026
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Measuring the Behavioral Effects of Intraocular Scatter
Published on: February 18, 2021
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The Impact of Model-Based Clutter Suppression on Cluttered, Aberrated Wavefronts
Summary
This study introduces adaptive ADMIRE, an enhanced ultrasound imaging algorithm that effectively suppresses phase aberration and reverberation, improving image quality and aberration characterization in simulations and in vivo liver data.
Area of Science:
- Medical Imaging
- Ultrasound Technology
- Signal Processing
Background:
- Phase aberration and reverberation significantly degrade ultrasound image quality.
- Previous clutter suppression algorithms have not been tested with aberrated wavefronts.
Purpose of the Study:
- To evaluate the aperture domain model image reconstruction (ADMIRE) algorithm in the presence of phase aberration and reverberation.
- To introduce and assess an adaptive component (adaptive ADMIRE) for improved aberration characterization.
- To compare ADMIRE, adaptive ADMIRE, and conventional filtering for ultrasound image quality enhancement.
Main Methods:
- Simulations were used to investigate phase aberration corruption and correction with reverberation.
- An adaptive component was integrated into ADMIRE to create adaptive ADMIRE.
- ADMIRE, adaptive ADMIRE, and conventional filtering were applied to in vivo liver data for aberration profile characterization.
Main Results:
- ADMIRE demonstrated suppressed levels of aberration.
- Adaptive ADMIRE showed potential for characterizing a wider range of aberrated wavefronts.
- Quantitative analysis of aberration profiles (full-width at half-maximum and root-mean square values) was performed on simulated and in vivo data.
Conclusions:
- Adaptive ADMIRE offers improved characterization of aberrated ultrasound signals.
- The developed algorithms show promise for enhancing ultrasound image quality in the presence of aberrations.
- Further evaluation confirmed the performance of ADMIRE and adaptive ADMIRE with aberration correction.
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