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A generalized programmable system and efficient algorithms for ultrasound backend processing.

机译:用于超声后端处理的通用可编程系统和高效算法。

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摘要

Ultrasound is one of the leading medical imaging modalities because it allows clinicians to have a better, easier, and less expensive way to diagnose a wide variety of medical conditions in real time. Modern ultrasound machines, however generate and process data at a tremendous rate and consequently, the required computational power is implemented with fixed hardware.; Because of their limited programmability, many of the hardware components within an ultrasound machine cannot be reused if the processing requirements or algorithms are modified significantly. We have studied the applicability of several modern general-purpose programmable processors and digital signal processors (DSPs) in performing both the traditional and new imaging tasks which used to be implemented on fixed hardware. Some of these new processors employ instruction-level parallelism, which includes the superscalar or very long instruction word (VLIW) computer architectures.; To investigate the feasibility of this totally different approach, we have designed and implemented a programmable ultrasound image processor (PUIP). This subsystem has been shown to have enough computational power and generality to implement many current and future ultrasound applications efficiently. We then investigated efficient parallel algorithms for ultrasound processing functions. These included the Fast Fourier Transform (FFT) in the gated spectral Doppler estimation function, scan conversion, color flow processing, and color Doppler image generation algorithms. We also developed methodologies to allow engineers to quickly learn the fundamentals efficient programming of processors with instruction-level parallelism that are embedded in imaging systems like ultrasound machines.; The development of a programmable ultrasound backend system utilizing a network of modern programmable processors potentially allows for a lower system cost and lower research/development expenses. Programmable systems could significantly improve the productivity in new algorithm development and facilitate rapid development of new ultrasound applications, features, and technology.
机译:超声是领先的医学成像方法之一,因为它使临床医生能够以更好,更轻松,更便宜的方式实时诊断各种医学状况。然而,现代超声机器以极大的速度生成和处理数据,因此,所需的计算能力是由固定硬件实现的。由于它们的可编程性有限,如果处理要求或算法得到了重大修改,则超声机内的许多硬件组件将无法重用。我们已经研究了几种现代通用可编程处理器和数字信号处理器(DSP)在执行传统和新的成像任务(过去通常在固定硬件上实现)时的适用性。其中一些新处理器采用指令级并行性,其中包括超标量或超长指令字(VLIW)计算机体系结构。为了研究这种完全不同的方法的可行性,我们设计并实现了一个可编程的超声图像处理器(PUIP)。该子系统具有足够的计算能力和通用性,可以有效地实现许多当前和将来的超声应用。然后,我们研究了用于超声处理功能的高效并行算法。这些功能包括门控频谱多普勒估计功能中的快速傅立叶变换(FFT),扫描转换,色流处理和彩色多普勒图像生成算法。我们还开发了方法,以使工程师能够快速学习具有指令级并行性的处理器的高效编程基础,这些指令级并行性已嵌入超声系统等成像系统中。利用现代可编程处理器网络的可编程超声后端系统的开发潜在地允许较低的系统成本和较低的研究/开发费用。可编程系统可以大大提高新算法开发的生产率,并促进新超声应用,功能和技术的快速开发。

著录项

  • 作者

    Basoglu, Chris.;

  • 作者单位

    University of Washington.;

  • 授予单位 University of Washington.;
  • 学科 Engineering Electronics and Electrical.; Engineering Biomedical.
  • 学位 Ph.D.
  • 年度 1997
  • 页码 300 p.
  • 总页数 300
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 无线电电子学、电信技术;生物医学工程;
  • 关键词

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