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Computational requirements for real-time ptychographic image reconstruction

机译:实时PTYCHOGURE重建的计算要求

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摘要

Ptychographic imaging techniques can be coupled with tomographic image reconstruction techniques to obtain cross-sectional 3D images with resolution on the nanometer scale. However, such ptychographic x-ray computed tomography (PXCT) techniques require the collection of a large number of diffraction patterns. This work derives a set of equations that can be used to calculate the rate at which data can be collected given an experimental setup. It also determines the computational system requirements needed to process ptychographic data in real time as soon as it has been collected. This will expedite the ptychography step of PXCT. These theoretical results are then applied to performance data collected from reconstructing simulated diffraction patterns in order to determine the computational resources needed for real-time ptychographic processing for representative experimental set- ups. All of our results are independent of any spedfic ptychographic reconstruction algorithm. (C) 2019 Optical Society of America
机译:PTychrapute成像技术可以与断层图像重建技术耦合,以在纳米级上获得具有分辨率的横截面3D图像。然而,这种PTYChrapue X射线计算机断层扫描(PXCT)技术需要集合大量的衍射图案。这项工作得出了一组可用于计算可以使用实验设置来收集数据的速率的一组方程。它还确定在收集后立即处理PTYChrapure数据所需的计算系统要求。这将加快PXCT的PTYChoge步骤。然后将这些理论结果应用于从重建模拟衍射模式收集的性能数据,以便确定代表实验组的实时PTYCHOICACH处理所需的计算资源。我们所有的结果都与任何斯科菲特PTychography重建算法无关。 (c)2019年光学学会

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  • 来源
    《Applied optics》 |2019年第7期|共9页
  • 作者单位

    Univ Southern Calif Informat Sci Inst Arlington VA 22203 USA;

    Univ Southern Calif Informat Sci Inst Arlington VA 22203 USA;

    Univ Southern Calif Informat Sci Inst Arlington VA 22203 USA;

    Univ Southern Calif Informat Sci Inst Arlington VA 22203 USA;

    Univ Southern Calif Informat Sci Inst Arlington VA 22203 USA;

    Univ Southern Calif Informat Sci Inst Arlington VA 22203 USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 应用;
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