Compressed Sensing for Elastography in Portable Ultrasound.

Area of Science:

• Medical Imaging
• Biomedical Engineering
• Signal Processing

Background:

• Portable ultrasound offers on-site diagnostics but lacks elastography for malignancy detection due to hardware and data transfer limitations.
• Ultrasound elastography requires substantial data processing, hindering its integration into current portable ultrasound devices.
• Data transfer reduction is crucial for enabling advanced ultrasound functionalities on portable platforms.

Purpose of the Study:

• To implement and evaluate compressive sensing (CS) reconstruction frameworks for portable ultrasound elastography.
• To assess the feasibility of reducing data transfer requirements for real-time elastography on portable devices.
• To identify optimal CS parameters for high-quality B-mode images and elastograms.

Main Methods:

• Implemented various CS frameworks combining Fourier transform (FT), discrete cosine transform (DCT), and wave atom (WA) model bases with L1 minimization and block sparse Bayesian learning (BSBL) algorithms.
• Developed echoic and elastography phantoms to evaluate CS performance on B-mode images and elastograms.
• Measured mean absolute error (MAE), signal-to-noise ratio (SNRe), and contrast-to-noise ratio (CNRe) to assess reconstruction quality.

Main Results:

• Compressive sensing reconstruction using the BSBL algorithm with the DCT model basis demonstrated superior performance across all tested metrics.
• The optimal CS framework achieved a data reduction rate of approximately 60% while producing readily discernible elastograms.
• BSBL-DCT framework significantly improved image quality and diagnostic potential for portable ultrasound elastography.

Conclusions:

• Compressive sensing, particularly with the BSBL-DCT framework, is a viable solution for enabling ultrasound elastography on portable devices.
• Significant data reduction is achievable without compromising the quality of elastographic images.
• This advancement paves the way for enhanced on-site diagnosis of malignant lesions using portable ultrasound technology.