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首页> 外文期刊>NDT & E international >Improvement of image characteristics in high-voltage computed tomography (CT) by applying a compressed-sensing (CS)-based image deblurring scheme
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Improvement of image characteristics in high-voltage computed tomography (CT) by applying a compressed-sensing (CS)-based image deblurring scheme

机译：通过应用基于压缩传感（CS）的图像去模糊方案来改善高压计算机断层扫描（CT）中的图像特性

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摘要

We have established a high-voltage computed tomography (CT) system with a 1-3 MV LINAC x-ray generator for industrial nondestructive testing. However, reconstructed CT images are typically blurred, limiting its image performance, mainly due to the finite focal spot size of the x-ray source, aspects inherent to detector such as the detector pixel size and the detector resolution, and the reconstruction procedure as well. Thus the recovery of the reconstructed CT images from their degraded version is essential for improving the image characteristics, in this work, we investigated the compressed-sensing (CS)-based deconvolution scheme for more accurate image deblurring in CT. We implemented the proposed image deblurring algorithm for CT and performed a systematic simulation and experiment to demonstrate its viability. Our results indicate that the proposed deblurring scheme appears to be effective for the blurring problems in CT and is applicable to improve its present image characteristics.
机译：我们已经建立了带有1-3 MV LINAC X射线发生器的高压计算机断层扫描（CT）系统，用于工业无损检测。但是，重建的CT图像通常是模糊的，从而限制了其图像性能，这主要是由于X射线源的有限焦点尺寸，检测器固有的方面（例如检测器像素大小和检测器分辨率）以及重建过程。因此，从其降级版本中恢复重建的CT图像对于改善图像特性至关重要，在这项工作中，我们研究了基于压缩传感（CS）的反卷积方案，以便在CT中获得更准确的图像去模糊效果。我们为CT实现了所提出的图像去模糊算法，并进行了系统的仿真和实验以证明其可行性。我们的结果表明，提出的去模糊方案对于CT的模糊问题似乎是有效的，并且可用于改善其当前的图像特性。

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  • 来源
    《NDT & E international》 |2016年第12期|11-19|共9页
  • 作者

    Kyuseok Kim; Hyosung Cho; Uikyu Je; Chulkyu Park; Hyunwoo Lim; Guna Kim; Soyoung Park; Yeonok Park; Dongyeon Lee; Hunwoo Lee; Taeho Woo;

  • 作者单位

    Department of Radiation Convergence Engineering, iTOMO Group, Yonsei University, 1 Yonseidae-gil, Wonju, Gangwon-do 26493, Republic of Korea;

    Department of Radiation Convergence Engineering, iTOMO Group, Yonsei University, 1 Yonseidae-gil, Wonju, Gangwon-do 26493, Republic of Korea;

    Department of Radiation Convergence Engineering, iTOMO Group, Yonsei University, 1 Yonseidae-gil, Wonju, Gangwon-do 26493, Republic of Korea;

    Department of Radiation Convergence Engineering, iTOMO Group, Yonsei University, 1 Yonseidae-gil, Wonju, Gangwon-do 26493, Republic of Korea;

    Department of Radiation Convergence Engineering, iTOMO Group, Yonsei University, 1 Yonseidae-gil, Wonju, Gangwon-do 26493, Republic of Korea;

    Department of Radiation Convergence Engineering, iTOMO Group, Yonsei University, 1 Yonseidae-gil, Wonju, Gangwon-do 26493, Republic of Korea;

    Department of Radiation Convergence Engineering, iTOMO Group, Yonsei University, 1 Yonseidae-gil, Wonju, Gangwon-do 26493, Republic of Korea;

    Department of Radiation Convergence Engineering, iTOMO Group, Yonsei University, 1 Yonseidae-gil, Wonju, Gangwon-do 26493, Republic of Korea;

    Department of Radiation Convergence Engineering, iTOMO Group, Yonsei University, 1 Yonseidae-gil, Wonju, Gangwon-do 26493, Republic of Korea;

    Department of Radiation Convergence Engineering, iTOMO Group, Yonsei University, 1 Yonseidae-gil, Wonju, Gangwon-do 26493, Republic of Korea;

    Department of Radiation Convergence Engineering, iTOMO Group, Yonsei University, 1 Yonseidae-gil, Wonju, Gangwon-do 26493, Republic of Korea;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    High-voltage computed tomography (CT); Compressed-sensing (CS); Image deblurring;

    机译：高压计算机断层扫描（CT）;压缩感测（CS）;图像去模糊;

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