波束赋形
计算机科学
图像质量
算法
计算
图像分辨率
对比度
图形处理单元
信噪比(成像)
人工智能
计算机视觉
图像(数学)
电信
并行计算
操作系统
作者
Seungwan Jeon,Eun-Yeong Park,Wonseok Choi,Ravi Managuli,Ki Jong Lee,Chulhong Kim
摘要
Delay-and-sum (DAS) beamforming is the most commonly used algorithm to form photoacoustic (PA) and ultrasound (US) images because of its simple implementation. However, it has several drawbacks such as low image resolution and contrast. To deal with this problem, delay-multiply-and-sum (DMAS) beamforming algorithm was developed a few years ago. It is known that DMAS can improve the image quality by providing higher contrast and narrower main lobe compared to DAS, but its calculation speed is too slow to be implemented for clinical applications. Herein, we introduce an improved DMAS in terms of both imaging speed and quality, and we demonstrated real-time clinical PA imaging. The proposed DMAS provided better lateral resolution and signal-to-noise ratio (SNR) than the original DMAS through a modified coherence factor. Then we accelerated its computation speed by optimizing the algorithm and parallelizing the process using a graphics processing unit (GPU). We quantitatively compared the processing time and the image quality of the proposed algorithm with the conventional algorithms. As the result, it was observed that our proposed algorithm showed better spatial resolution and SNR while achieving real-time imaging framerate. Due to the improvement, the proposed algorithm was successfully implemented on a programmable clinical PA/US imaging system and showed clearer real-time PA images than the conventional DAS images.
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