针对医用超声内镜系统中合成孔径算法旁瓣噪声严重、时间复杂度高等问题,基于图形处理器(GPU)的高速并行处理能力,提出了一种基于相干系数的实时合成孔径算法。通过引入相干系数,对超声回波图像中的旁瓣噪声进行有效抑制。通过GPU对算法进行并行处理,提高算法的运行速度。使用仿真数据和实际暗斑回波数据进行实验验证,结果表明,该算法可以有效改善超声回波图像质量,在回波图像数据量为153 Mbit时,相较于合成孔径算法,运算速度提升了16.29倍,达6 frame·s ^-1,满足医用超声内镜实时处理的要求。

To ameliorate the serious sidelobe noise and high time complexity of the conventional synthetic-aperture algorithm in medical ultrasonic endoscopy systems, a coherence-factor-based real-time synthetic-aperture algorithm is proposed in this paper, which is realized with the high-speed parallel processing capabilities of a graphic processor (GPU). Introducing the coherence factor effectively suppresses sidelobe noise in an ultrasonic echo image, and the algorithm is processed using a GPU to improve its speed. The simulation data and the actual data are compared for experimental verification, and the proposed algorithm is shown to effectively improve the quality of the ultrasonic echo image. When the echo image size is 153 Mbit, the operation speed is 16.29 times faster than that obtained by using the conventional synthetic-aperture algorithm. A processing speed of 6 frame·s -1 is achieved to satisfy the requirements of real-time processing for medical ultrasonic endoscopy.