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首页> 外文会议>Visualization, Image-Guided Procedures pt.2; Progress in Biomedical Optics and Imaging; vol.8 no.28; Proceedings of SPIE-The International Society for Optical Engineering; vol.6509 pt.2 >Options for New Real-time Image-processing Architectures in CardioVascular Systems
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Options for New Real-time Image-processing Architectures in CardioVascular Systems

机译：心血管系统中新型实时图像处理架构的选项

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摘要

Low-dose X-ray imaging, diagnosis by image analysis and multi-modal medical imaging are example aspects that lead to more advanced image processing algorithms and the corresponding platforms on which they have to be executed. In this paper, we investigate the applicability of commercially available off-the-shelf components for a new computing platform. In the analysis, we will comply to some specific use cases. In cardiovascular minimal invasive surgery, physicians require low-latency imaging applications, as their actions must be directly visible on the screen. Typical image-processing algorithms in this domain are based on multi-resolution decomposition, noise reduction, image analysis and enhancement techniques. We have compared various solutions for possible processing architectures. The most interesting technology areas for constituting a new architecture are presented and we discuss the mapping of the use cases onto the various architectural proposals. Results show that a heterogeneous architecture gives the highest potential for current and upcoming image-processing applications. However, hardware and software solutions to support low-latency, high-bandwidth image streaming and an efficient concurrent distribution of functionality still need further development. This validates a clear direction for the future, which is based on modeling streaming computing architectures and special interconnect infrastructures.
机译：低剂量X射线成像，通过图像分析诊断和多模式医学成像是示例方面，可导致更先进的图像处理算法以及必须在其上执行的相应平台。在本文中，我们研究了可商用的现成组件在新计算平台上的适用性。在分析中，我们将遵循一些特定的用例。在心血管微创外科手术中，医生需要低延迟成像应用，因为他们的动作必须在屏幕上直接可见。该领域的典型图像处理算法基于多分辨率分解，降噪，图像分析和增强技术。我们比较了可能的处理体系结构的各种解决方案。提出了构成新架构的最有趣的技术领域，并且我们讨论了将用例映射到各种架构建议上。结果表明，异构体系结构为当前和即将到来的图像处理应用程序提供了最大的潜力。但是，支持低延迟，高带宽图像流和功能的有效并发分发的硬件和软件解决方案仍需要进一步开发。这是基于对流计算架构和特殊互连基础结构建模的未来的明确方向。

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