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A Fast CT Reconstruction Scheme for a General Multi-Core PC

机译:通用多核PC的快速CT重建方案

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Expensive computational cost is a severe limitation in CT reconstruction for clinical applications that need real-time feedback. A primary example is bolus-chasing computed tomography (CT) angiography (BCA) that we have been developing for the past several years. To accelerate the reconstruction process using the filtered backprojection (FBP) method, specialized hardware or graphics cards can be used. However, specialized hardware is expensive and not flexible. The graphics processing unit (GPU) in a current graphic card can only reconstruct images in a reduced precision and is not easy to program. In this paper, an acceleration scheme is proposed based on a multi-core PC. In the proposed scheme, several techniques are integrated, including utilization of geometric symmetry, optimization of data structures, single-instruction multiple-data (SIMD) processing, multithreaded computation, and an Intel C++ compilier. Our scheme maintains the original precision and involves no data exchange between the GPU and CPU. The merits of our scheme are demonstrated in numerical experiments against the traditional implementation. Our scheme achieves a speedup of about 40, which can be further improved by several folds using the latest quad-core processors.
机译:对于需要实时反馈的临床应用,昂贵的计算成本是CT重建的严重限制。一个主要的例子是我们在过去几年中开发的大剂量追踪计算机断层扫描(CT)血管造影(BCA)。为了使用滤波反投影(FBP)方法加速重建过程,可以使用专用硬件或图形卡。但是,专用硬件昂贵且不灵活。当前图形卡中的图形处理单元(GPU)只能以降低的精度重建图像,并且不容易编程。本文提出了一种基于多核PC的加速方案。在提出的方案中,集成了多种技术,包括利用几何对称性,优化数据结构,单指令多数据(SIMD)处理,多线程计算以及Intel C ++编译器。我们的方案保持了原始精度,并且不涉及GPU和CPU之间的数据交换。我们的方案的优点在反对传统实现的数值实验中得到了证明。我们的方案实现了约40倍的加速,使用最新的四核处理器可以进一步提高几倍。

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