Beamforming-Enhanced Inverse Scattering for Microwave Breast Imaging

Area of Science:

• Biomedical Engineering
• Electromagnetics
• Medical Imaging

Background:

• Microwave breast imaging offers a radiation-free alternative for detecting breast cancer.
• Image reconstruction in microwave imaging is susceptible to noise, degrading diagnostic accuracy.
• The distorted Born iterative method (DBIM) is a common algorithm for microwave imaging.

Purpose of the Study:

• To develop and evaluate a focal-beamforming-enhanced distorted Born iterative method (DBIM) for microwave breast imaging.
• To assess the algorithm's performance in mitigating noise effects on image reconstruction fidelity.
• To compare the proposed method against non-focal DBIM schemes.

Main Methods:

• A novel focal-beamforming-enhanced DBIM algorithm was formulated.
• The algorithm was applied to simulated array measurements from realistic numerical breast phantoms.
• Performance was evaluated across a range of signal-to-noise ratios (SNRs) from 0 dB to 35 dB.
• Reconstructions were compared to non-focal DBIM approaches (data averaging and pair discarding).

Main Results:

• The focal-beamforming-enhanced DBIM produced higher fidelity reconstructions of dielectric properties at low SNRs.
• Non-focal schemes resulted in lower fidelity images under low SNR conditions.
• At high SNRs, the focal and non-focal methods yielded comparable image quality.

Conclusions:

• Focal beamforming significantly improves the robustness and accuracy of DBIM for microwave breast imaging, especially in noisy environments.
• This enhancement is crucial for reliable detection and characterization of breast tissue abnormalities.
• The developed algorithm shows promise for clinical translation in microwave-based medical diagnostics.