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A comparison of 3D cone-beam Computed Tomography (CT) image reconstruction performance on homogeneous multi-core processor and on other processors

机译:在同类多核处理器和其他处理器上比较3D锥束计算机断层扫描(CT)图像的性能

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摘要

Computed Tomography (CT) has become an important noninvasive tool in diagnostic medicine. In fact, the use of cone-beam CT is growing in the clinical area due to its ability to provide 3D volumetric information. This study aims to parallelize an analytical 3D image reconstruction algorithm and then implement it on a commercial homogeneous multi-core processor. It is indicated from our results that the homogeneous multi-core processor actually achieved faster reconstruction than the heterogeneous processor-based or the FPGA-based implementation. Our results demonstrated that the shared cache mechanism associated with the homogeneous processor would represent a significant benefit to performing high-speed CT reconstruction or other High Performance Computing (HPC) applications. In addition, while the Graphic Processing Unit (GPU) is considered the most powerful processor nowadays, our experimental results further indicated that the joint use of the multi-core CPU and GPU could enhance the processing power as well as improve the computational efficiency.
机译:计算机断层扫描(CT)已成为诊断医学中重要的非侵入性工具。实际上,由于其提供3D体积信息的能力,锥束CT在临床领域的使用正在增长。这项研究旨在并行分析3D图像重建算法,然后在商用同质多核处理器上实现它。从我们的结果可以看出,同质多核处理器实际上比基于异构处理器或基于FPGA的实现更快地重建。我们的结果表明,与同类处理器相关联的共享缓存机制将对执行高速CT重建或其他高性能计算(HPC)应用程序带来重大好处。此外,尽管图形处理单元(GPU)被认为是当今功能最强大的处理器,但我们的实验结果进一步表明,多核CPU和GPU的联合使用可以增强处理能力并提高计算效率。

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