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Applications of compressed sensing image reconstruction to sparse view phase tomography

机译：压缩传感图像重建在稀疏相层析成像中的应用

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摘要

X-ray phase CT has a potential to give the higher contrast in soft tissue observations. To shorten the measurement time, sparse-view CT data acquisition has been attracting the attention. This paper applies two major compressed sensing (CS) approaches to image reconstruction in the x-ray sparse-view phase tomography. The first CS approach is the standard Total Variation (TV) regularization. The major drawbacks of TV regularization are a patchy artifact and loss in smooth intensity changes due to the piecewise constant nature of image model. The second CS method is a relatively new approach of CS which uses a nonlinear smoothing filter to design the regularization term. The nonlinear filter based CS is expected to reduce the major artifact in the TV regularization. The both cost functions can be minimized by the very fast iterative reconstruction method. However, in the past research activities, it is not clearly demonstrated how much image quality difference occurs between the TV regularization and the nonlinear filter based CS in x-ray phase CT applications. We clarify the issue by applying the two CS applications to the case of x-ray phase tomography. We provide results with numerically simulated data, which demonstrates that the nonlinear filter based CS outperforms the TV regularization in terms of textures and smooth intensity changes.
机译：X射线相CT有潜力在软组织观察中提供更高的对比度。为缩短测量时间，稀疏CT数据采集已引起人们的关注。本文将两种主要的压缩传感（CS）方法应用于X射线稀疏相层析成像中的图像重建。第一种CS方法是标准的总变化（TV）正则化。电视正则化的主要缺点是斑驳的伪影以及由于图像模型的分段恒定性质而导致的平滑强度变化损失。第二种CS方法是一种相对较新的CS方法，它使用非线性平滑滤波器来设计正则项。基于非线性滤波器的CS有望减少TV正则化中的主要伪像。这两个成本函数可以通过非常快速的迭代重建方法最小化。但是，在过去的研究活动中，尚未清楚地证明在X射线相位CT应用中，电视正则化和基于非线性滤波器的CS之间会出现多少图像质量差异。我们通过将两个CS应用程序应用于X射线断层扫描的情况来阐明问题。我们用数值模拟数据提供结果，这表明基于非线性滤波器的CS在纹理和平滑强度变化方面优于TV正则化。

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  • 来源
    《Developments in X-ray tomography XI》|2017年|103910H.1-103910H.9|共9页
  • 会议地点 San Diego(US)
  • 作者

    Ryosuke Ueda; Hiroyuki Kudo; Jian Dong;

  • 作者单位

    Division of Information Engineering, Faculty of Engineering, Information and Systems, University of Tsukuba, Tennoudai 1-1-1, Tsukuba 305-8573, Japan;

    Division of Information Engineering, Faculty of Engineering, Information and Systems, University of Tsukuba, Tennoudai 1-1-1, Tsukuba 305-8573, Japan;

    Division of Information Engineering, Faculty of Engineering, Information and Systems, University of Tsukuba, Tennoudai 1-1-1, Tsukuba 305-8573, Japan;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    computed tomography; phase imaging; total variation; nonlocal means filter; compressed sensing;

    机译：CT检查;相位成像总变化非本地均值过滤器；压缩感测;

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