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Improving Ultrasound B-Mode Image Quality with Coherent Plane-Wave Compounding Using Adaptive Beamformers Based on

Larissa C Neves¹, Felipe M Ribas¹, Joaquim M Maia¹

¹Graduate Program in Electrical and Computer Engineering (CPGEI), Federal University of Technology-Paraná (UTFPR), Curitiba 80230-901, PR, Brazil.

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Summary

This summary is machine-generated.

This study introduces enhanced beamforming techniques for plane-wave ultrasound imaging. The enhanced Kuan filter significantly reduces geometric distortion, while the enhanced Wiener filter improves contrast ratio for clearer medical images.

Keywords:

adaptive filters beamforming eigenspace generalized sidelobe canceler plane-wave ultrasound images

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Published on: November 3, 2015

Area of Science:

Medical imaging
Ultrasound technology
Signal processing

Background:

Coherent plane-wave compounding (CPWC) is crucial for high frame-rate ultrasound imaging.
Adaptive Eigenspace Beamformer with Generalized Sidelobe Canceler (GSC) reduces noise and interference, enhancing image resolution and contrast over basic methods like Delay and Sum (DAS).
Speckle signal reduction is a key challenge in ultrasound image processing.

Purpose of the Study:

To evaluate combined beamformer Eigenspace Based on Minimum Variance (ESBMV) with GSC (EGSC) and various filters (Kuan, Lee, Wiener) for improved plane-wave ultrasound imaging.
To assess the effectiveness of enhanced filter versions (EGSCKe, EGSCWe) in reducing geometric distortion and improving contrast ratio.
To present a novel method for superior quality plane-wave ultrasound images.

Main Methods:

Implementation of Eigenspace Based on Minimum Variance (ESBMV) beamformer combined with Generalized Sidelobe Canceler (GSC).
Integration and evaluation of Kuan (EGSCK), Lee (EGSCL), and Wiener (EGSCW) filters, including their enhanced versions (EGSCKe, EGSCWe).
Quantitative analysis of geometric distortion and contrast ratio improvements compared to standard Delay and Sum (DAS) and basic EGSC techniques.

Main Results:

The EGSCK technique showed no significant improvement.
The enhanced Kuan filter (EGSCKe) achieved substantial geometric distortion reduction: 35% (0.13 mm) vs. EGSC and 67% (0.49 mm) vs. DAS.
The enhanced Wiener filter (EGSCWe) demonstrated superior contrast ratio (CR) improvement: 74% vs. DAS and 60% vs. EGSC.

Conclusions:

The proposed EGSCKe method effectively reduces geometric distortion in plane-wave ultrasound imaging.
The EGSCWe method significantly enhances image contrast ratio.
These enhanced beamforming techniques offer a valuable solution for improving the quality of plane-wave ultrasound images.