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Architecture of a real-time delay calculator for digital beamforming in ultrasound system

机译:超声系统中用于数字波束形成的实时延迟计算器的体系结构

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In ultrasound systems synthetic transmit aperture and phased array imaging are widely used for obtaining the high quality images. These imaging systems require dynamic focusing of the multi-element transducer array at large number of scan points during transmission and reception. The array can be focused at any point by applying proper delay values to the signals, received or transmitted by each element of the array. Dynamic focusing requires on-line computation of the delay values, for large number of scan points, corresponding to all the elements of the array. This paper describes a delay calculation algorithm and corresponding hardware architecture for dynamically focusing the convex transducer array at large number of scan points. The hardware architecture for the 64-element convex transducer array, which scans 128 scan lines having 1024 scan points on each scan line, consumes 61k gates. It shows around 57–86% improvement in terms of hardware consumption with respect to those of other available architectures. To reduce the overall complexity and latency of the delay calculator, a 28- bit radicand square root calculator architecture which requires less initial memory than that of the linear approximation and less hardware resources than that of the quadratic approximation is also presented.
机译:在超声系统中,合成发射孔径和相控阵成像被广泛用于获得高质量图像。这些成像系统需要在发送和接收过程中将多元素换能器阵列动态聚焦在大量扫描点上。通过对阵列的每个元素接收或发送的信号施加适当的延迟值,可以将阵列聚焦在任何点。动态聚焦需要针对大量扫描点进行在线计算延迟值,这些延迟点对应于阵列的所有元素。本文介绍了一种用于将凸换能器阵列动态聚焦在大量扫描点上的延迟计算算法和相应的硬件体系结构。用于扫描128条扫描线(每条扫描线上有1024个扫描点)的64要素凸形换能器阵列的硬件体系结构消耗了61,000个门。与其他可用架构相比,它在硬件消耗方面显示出约57–86%的改善。为了降低延迟计算器的整体复杂性和延迟,还提出了一种28位radicand平方根计算器体系结构,该体系结构所需的初始存储空间少于线性近似的初始存储器,而硬件资源所需的资源却少于线性近似的初始存储器。

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