超声成像系统的P2B-17单芯片解决方案:初步结果

A. Agarwal, T. Fukuoka, F. Schneider, Y. Yoo, F. Baluyot, Yongmin Kim
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引用次数: 3

摘要

传统上,专用集成电路(asic)用于支持医疗超声系统的计算和数据速率要求。利用先前开发的高效前端算法和固态器件的持续进步,我们开发了一个混合可编程架构来支持核心超声信号处理。随着新一代数字信号处理器(DSP)的出现(例如,德州仪器的TMS320C6455和IBM的Cell宽带引擎),这种混合现场可编程门阵列(FPGA)- DSP架构可以在克服以下挑战后向单芯片解决方案发展:(a)动态聚焦期间数据访问效率低;(b) adc的多个并行数据传输路径。在本文中,我们提出了一种新的单DSP架构,其中先进的DSP在软件中处理所有的前端和后端处理。为了实现这种新架构,我们(a)开发了一种新的逐步动态聚焦方法,其中沿着深度方向对一组样本使用相同的延迟曲线,(b)研究了ADC到DSP数据传输的串行接口的使用。结果表明,TMS320C6455可以满足32通道b模式成像系统的要求,分别使用了DSP的56.6%和85.4%的计算资源和串行I/O资源。这些结果表明,单个DSP芯片解决方案可以满足低端医用超声系统的硬件要求。
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P2B-17 Single-Chip Solution for Ultrasound Imaging Systems: Initial Results
Traditionally, application-specific integrated circuits (ASICs) are used for supporting the computational and data rate requirements of medical ultrasound systems. Utilizing the previously-developed efficient front-end algorithms and the continuing advances in solid state devices, we developed a hybrid programmable architecture to support core ultrasound signal processing. With the advent of new- generation digital signal processors (DSPs) (e.g., Texas Instruments' TMS320C6455 and IBM's Cell Broadband Engine), this hybrid field programmable gate array (FPGA)- DSP architecture can evolve towards a single-chip solution after overcoming the following challenges: (a) inefficient data access during dynamic focusing and (b) multiple, parallel data- transfer paths from ADCs. In this paper, we present a new single-DSP architecture, where an advanced DSP handles all the front- and back-end processing in software. To enable this new architecture, we have (a) developed a new stepwise dynamic focusing method, where the same delay curve is utilized for a group of samples along the depth direction and (b) investigated use of serial interfaces for ADC to DSP data transfer. It was found that the TMS320C6455 can meet the requirements of a 32-channel B-mode imaging system using 56.6% and 85.4% of the computing and serial I/O resources of the DSP, respectively. These results indicate that a single DSP chip solution can meet the hardware requirements for lower-end medical ultrasound systems.
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