Python has become a widely used programming language for scientific research. However, python’s computational speed is limited when compared with other languages. This work presents an upgraded open-source imaging software based on python, which is capable of acquiring, processing, and displaying B-mode images in real-time for a high-frequency phased array imaging system. Ultrasound systems, considered to be real-time, display images at a frame rate of >20 Hz. This software uses 3 central processing units (CPUs) for parallel processing. In addition, Graphics Processing Unit (GPU) parallel computing is achieved by employing OpenCL commands and executing them directly on the GPU. New features, such as frame weighted averaging, color flow overlay and image enhancement, were also implemented. Parallel computing increased the displayed frame rate in general B-mode from 20 Hz to 35 Hz. B-mode + color flow overlay was increased from 15 Hz to 29 Hz and enhanced B-mode (applying edge detection, blur, and FFT filtering) was increased from 14 Hz to 28 Hz. Finally, enhanced B-mode + color flow overlay frame rate was increased from 8 Hz to 23 Hz. Thus, even more advanced ultrasound techniques, such as shear wave elastography might be developed using the python language without compromising the frame rate.
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