Parallelization and performance of 3D ultrasound imaging beamforming algorithms on modern clusters
Parallelization and performance of 3D ultrasound imaging beamforming algorithms on modern clusters
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DOI：
10.1145/514191.514232
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发表时间：
2002-06
期刊：
影响因子：
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通讯作者：
F. Zhang;A. Bilas;A. Dhanantwari;K. Plataniotis;R. Abiprojo;S. Stergiopoulos
中科院分区：
文献类型：
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作者：
F. Zhang;A. Bilas;A. Dhanantwari;K. Plataniotis;R. Abiprojo;S. Stergiopoulos
最近，人们对改善医疗应用中使用的基础设施非常感兴趣。特别是，人们对非侵入性的高分辨率诊断方法重新产生了兴趣。一种这样的方法是数字3D超声医学成像。当前最先进的超声系统使用专用硬件来执行输入数据的高级处理，以提高所生成的图像的质量。这些系统的能力受到底层计算架构的限制，并且由于它们所采用的解决方案的专业性质，它们往往是昂贵的。我们在这项工作中的目标是双重的：（i）了解这类新兴医疗应用的行为，以便提供有效的并行实现;以及（ii）介绍一个新的基准并行计算机体系结构从一个新的和重要的一类应用。我们解决了现代超声系统所面临的局限性，通过研究如何在与低延迟，高带宽系统局域网连接的高端PC的现代集群上执行高级波束成形算法所需的所有处理。我们研究了一个国家的最先进的算法的计算特性，并证明了今天的商品架构能够提供几乎实时的性能，而不会显着损害图像质量。
Recently there has been a lot of interest in improving the infrastructure used in medical applications. In particular, there is renewed interest on non-invasive, high-resolution diagnostic methods. One such method is digital, 3D ultrasound medical imaging. Current state-of-the-art ultrasound systems use specialized hardware for performing advanced processing of input data to improve the quality of the generated images. Such systems are limited in their capabilities by the underlying computing architecture and they tend to be expensive due to the specialized nature of the solutions they employ.Our goal in this work is twofold: (i) To understand the behavior of this class of emerging medical applications in order to provide an efficient parallel implementation and (ii) to introduce a new benchmark for parallel computer architectures from a novel and important class of applications. We address the limitations faced by modern ultrasound systems by investigating how all processing required by advanced beamforming algorithms can be performed on modern clusters of high-end PCs connected with low-latency, high-bandwidth system area networks. We investigate the computational characteristics of a state-of-the-art algorithm and demonstrate that today's commodity architectures are capable of providing almost-real-time performance without compromising image quality significantly.