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Measurement of X-ray Beam Coherence along Multiple Directions Using 2-D Checkerboard Phase Grating

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Improvement in Multi-Angle Plane Wave Image Quality Using Minimum Variance Beamforming with Adaptive Signal

Che-Chou Shen¹, Chun-Lin Huang¹

¹Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei 106335, Taiwan.

Sensors (Basel, Switzerland)

|January 11, 2024

Summary

This summary is machine-generated.

The adaptive delay-multiply-and-sum (ADMAS) method improves ultrasound image quality by adjusting signal coherence locally. This new technique enhances resolution and contrast without sacrificing background speckle quality, outperforming conventional methods.

Keywords:

adaptive delay-multiply-and-sum delay-multiply-and-sum minimum variance plane wave imaging signal coherence

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Area of Science:

Medical Imaging
Ultrasound Technology
Signal Processing

Background:

Conventional coherent plane wave compounding (CPWC) in ultrasound imaging offers limited quality due to standard delay-and-sum beamforming.
Delay-multiply-and-sum (DMAS) enhances image quality by incorporating signal coherence but often degrades background speckle.
Existing DMAS methods apply a global coherence value, impacting overall image quality and contrast-to-noise ratio (CNR).

Purpose of the Study:

To introduce an adaptive DMAS (ADMAS) algorithm for ultrasound multi-angle plane wave imaging.
To maintain background speckle quality and CNR by adapting signal coherence to local image characteristics.
To combine ADMAS with minimum variance (MV) beamforming for improved image resolution.

Main Methods:

Developed the adaptive DMAS (ADMAS) algorithm, making signal coherence dependent on local image regions.
Integrated ADMAS with minimum variance (MV) beamforming, optimizing MV estimation along the plane wave transmit angle (Tx).
Evaluated the TxMV-ADMAS beamforming method using the PICMUS dataset for multi-angle plane wave imaging.

Main Results:

TxMV-ADMAS significantly improved image quality compared to CPWC.
While conventional DMAS improved resolution (0.57mm to 0.24mm) and contrast (27.0dB to 38.0dB), it reduced CNR (12.8 to 11.3).
The proposed ADMAS algorithm restored CNR to CPWC levels while maintaining enhanced resolution and contrast.

Conclusions:

The proposed TxMV-ADMAS beamforming method effectively enhances ultrasound image resolution and contrast.
ADMAS preserves background speckle quality and CNR, overcoming limitations of conventional global coherence methods.
This adaptive approach offers superior image quality for multi-angle plane wave ultrasound imaging.