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Parallel-beam backprojection

机译:平行光束反投影

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摘要

Medical image processing in general and computerized tomography (CT) in particular can benefit greatly from hardware acceleration. This application domain is marked by computationally intensive algorithms requiring the rapid processing of large amounts of data. To date, reconfigurable hardware has not been applied to this important area. For efficient implementation and maximum speedup, fixed-point implementations are required. The associated quantization errors must be carefully balanced against the requirements of the medical community. Specifically, care must be taken so that very little error is introduced compared to floating-point implementations and the visual quality of the images is not compromised. In this paper, we present an FPGA implementation of the parallel-beam backprojection algorithm used in CT for which all of these requirements are met. We explore a number of quantization issues arising in backprojection and concentrate on minimizing error while maximizing efficiency. Our implementation shows significant speedup over software versions of the same algorithm, and is more flexible than an ASIC implementation. Our FPGA implementation can easily be adapted to both medical sensors with different dynamic ranges as well as tomographic scanners employed in a wider range of application areas including nondestructive evaluation and baggage inspection in airport terminals.
机译:总体而言,医学图像处理尤其是计算机断层扫描(CT)可以从硬件加速中大大受益。该应用领域的特点是需要快速处理大量数据的计算密集型算法。迄今为止,可重配置硬件尚未应用于此重要领域。为了有效地实现和最大程度地提高速度,需要定点实现。相关的量化误差必须与医学界的要求仔细权衡。具体来说,必须小心,与浮点实现相比,引入的错误很少,并且图像的视觉质量也不会受到影响。在本文中,我们介绍了CT中使用的并行束反投影算法的FPGA实现,并满足了所有这些要求。我们探索了反投影中出现的许多量化问题,并致力于最大程度地降低误差,同时最大化效率。我们的实现显示出比同一种算法的软件版本显着的加速,并且比ASIC实现更加灵活。我们的FPGA实现可以轻松地适应具有不同动态范围的医疗传感器以及断层扫描仪,这些扫描仪可以在更广泛的应用领域中使用,包括在机场航站楼进行无损评估和行李检查。

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