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首页> 外文会议>Computational Imaging V; Proceedings of SPIE-The International Society for Optical Engineering; vol.6498; Electronic Imaging Science and Technology >Why do Commodity Graphics Hardware Boards (GPUs) work so well for acceleration of Computed Tomography?
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Why do Commodity Graphics Hardware Boards (GPUs) work so well for acceleration of Computed Tomography?

机译：为什么商品图形硬件板（GPU）可以很好地加速计算机断层扫描？

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摘要

Commodity graphics hardware boards (GPUs) have achieved remarkable speedups in various sub-areas of Computed Tomography (CT). This paper takes a close look at the GPU architecture and its programming model and describes a successful acceleration of Feldkamp's cone-beam CT reconstruction algorithm. Further, we will also have a comparative look at the new emerging Cell architecture in this regard, which similar to GPUs has also seen its first deployment in gaming and entertainment. To complete the discussion on high-performance PC-based computing platforms, we will also compare GPUs with FPGA (Field Programmable Gate Array) based medical imaging solutions.
机译：商品图形硬件板（GPU）在计算机断层扫描（CT）的各个子区域中均实现了显着的加速。本文仔细研究了GPU体系结构及其编程模型，并描述了Feldkamp的锥束CT重建算法的成功加速。此外，在这方面，我们还将对新出现的Cell架构进行比较研究，该架构类似于GPU，也已在游戏和娱乐领域首次部署。为了完成对基于PC的高性能计算平台的讨论，我们还将比较GPU与基于FPGA（现场可编程门阵列）的医学成像解决方案。

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