Document Type : Research Article
Department of Biomedical Engineering, Tarbiat Modares University, Tehran, Iran.
Department of Electrical Engineering, Shahid Sattari Aeronautical University of Science and Technology, Tehran, Iran
Department of Air traffic Engineering, Shahid Sattari Aeronautical University of Science and Technology, Tehran, Iran
Photoacoustic imaging (PAI) is a promising medical imaging modality which provides the resolution of Ultrasound (US) and the contrast of Optical imaging modalities. One of the most important challenges in PAI is image formation, especially in the case that a linear-array US transducer is used for data acquisition. This is due to the fact that in the linear-array scenario, there is only 60 degrees view angle available to detect the photoacoustic waves, and due to the nature of photoacoustic waves, the problem is inherently a limited angle-view one. Delay-and-Sum (DAS) is the most prevalent beamforming algorithm in PAI due to its simple implementation, but it provides a low quality image. One of the alternatives is Minimum Variance (MV) and its derivatives. In this paper, we introduce a novel beamforming algorithm based on the combination of Forward-Backward MV (FBMV) and Delay-Multiply-and-Sum (DMAS) beamforming algorithms (DMAS_FBMV). It was shown that the FBMV can be integrated into the expansion of the DMAS. The proposed method is evaluated numerically. The results demonstrate that the DMAS_FBMV significantly outperforms the FBMV in the term of sidelobes (12 dB improvement at 45 mm). Quantitative metrics such as Signal-to-Noise (SNR) and Full-Width-Half-Maximum have been calculated for better evaluation.