Abstract
Delay-and-sum (DAS) beamforming is the most common non-adaptive beamforming algorithm in photoacoustic (PA) and ultrasound (US) imaging due to its simple implementation. However, it suffers from various drawbacks such as low image resolution, low contrast, and higher sidelobes. Several beamforming algorithms and weighting method was developed in last few years to resolve this problems. Herein, we introduce a new weighting factor named p th root coherence factor (PRCF) to enhance the DAS image quality in terms of various aspects. The proposed method provides better resolution and signal-to-noise ratio (SNR) than the conventional DAS and DAS+CF. We quantitatively compared the image quality metrics of the proposed algorithm with the conventional algorithms. It is observed that our proposed algorithm shows better spatial resolution, SNR, and lower sidelobes for both simulated as well as experimental data. The quantitative results of the experiment (using wire targets) shows that PRCF leads about 55% and 17% improvement in FWHM in comparision with DAS and DAS+CF respectively.
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