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Hardware and software implementation of a new algorithm on photoacoustic medical imaging

机译:一种新的光声医学成像算法的硬件和软件实现

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In this paper, we review a new image reconstruction algorithm proposed by our research team and comment on the hardware and software implementation for that algorithm. We use Texas Instruments(TI) embedded analog front end(AFE) board and Xilinx FPGA combined with camera interface of freescale i.MX6 microprocessing unit(MPU) for compactness of implementation and develop application program for preview image of raw B-scan image based on software development kit(SDK) firmware integrated development environment(IDE). We use four segment of frame buffer for capturing raw B-scan image and store it to these four segments of frame buffer alternatively and move one segment of frame buffer to the LCD controller to remove and fix the flickering problem in LCD display. We comment on the GPU and CUDA programming for implementing of a new image reconstruction algorithm.
机译:在本文中,我们回顾了我们的研究团队提出的一种新的图像重建算法,并对该算法的硬件和软件实现进行了评论。我们将德州仪器(TI)嵌入式模拟前端(AFE)板和Xilinx FPGA与飞思卡尔i.MX6微处理单元(MPU)的摄像头接口结合使用,以实现紧凑性,并开发基于原始B扫描图像的预览图像的应用程序关于软件开发套件(SDK)固件集成开发环境(IDE)。我们使用四段帧缓冲区来捕获原始B扫描图像,并将其交替存储到这四段帧缓冲区中,然后将一帧帧缓冲区移至LCD控制器,以消除并修复LCD显示屏中的闪烁问题。我们评论了用于实现新图像重建算法的GPU和CUDA编程。

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