U-net-based blocked artifacts removal method for dynamic computed tomography

Wang Bo; Chen Zhiqiang; Dewulf Wim; Pauwels Ruben; Yao Zhiyang; Hou Qinhan; Xiao Yongshun

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U-net-based blocked artifacts removal method for dynamic computed tomography

机译：基于U-NET的阻塞工件用于动态计算断层扫描的去除方法

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Airplane engines are vital aircraft components, so regular inspections of the engines are required to ensure their stable operation. A dynamic computed tomography (CT) system has been proposed by our group for in situ nondestructive testing of airplane engines, which takes advantage of the rotor's self-rotation. However, static parts of the engines cause blocked artifacts in the reconstructed image, leading to misinterpretations of the condition of engines. In this paper, in order to remove the artifacts produced by the projection of the static parts in CT reconstruction, two deep-learning-based methods are proposed, which use U-Net to perform correction in the projection domain. The projection of static parts can be estimated by a well-trained U-Net and subsequently can be subtracted from the projections of the engine. Finally, the rotor can be reconstructed from the corrected projections. The results shown in this paper indicate that the proposed methods are practical and effective for removing those blocked artifacts and recovering the details of rotating parts, which will, in turn, maximize the utilization of the dynamic CT system for in situ engine tests. (C) 2019 Optical Society of America

机译：飞机发动机是重要的飞机组件，因此需要定期检查发动机，以确保其稳定运行。我们的小组提出了一种动态计算断层扫描（CT）系统，用于对飞机发动机的原位无破坏性测试，这利用转子的自动旋转。然而，发动机的静态部分导致重建图像中的阻塞伪像，导致发动机状况的误解。在本文中，为了去除通过CT重建中的静态部分的投影产生的伪像，提出了两种基于深度学习的方法，该方法使用U-Net在投影域中进行校正。静态部件的投影可以通过训练良好的U-Net估计，随后可以从发动机的突起中减去。最后，可以从校正的突起重建转子。本文所示的结果表明，该方法是实用且有效地去除那些阻塞的伪像并恢复旋转部件的细节，这将最大限度地最大限度地利用用于原位发动机测试的动态CT系统。（c）2019年光学学会

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《Applied optics》 |2019年第14期|共6页
作者
Wang Bo; Chen Zhiqiang; Dewulf Wim; Pauwels Ruben; Yao Zhiyang; Hou Qinhan; Xiao Yongshun;
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Tsinghua Univ Dept Engn Phys Beijing 100084 Peoples R China;

Tsinghua Univ Dept Engn Phys Beijing 100084 Peoples R China;

Katholieke Univ Leuven Mech Engn Dept Leuven Belgium;

Katholieke Univ Leuven Mech Engn Dept Leuven Belgium;

Tsinghua Univ Dept Engn Phys Beijing 100084 Peoples R China;

Tsinghua Univ Dept Engn Phys Beijing 100084 Peoples R China;

Tsinghua Univ Dept Engn Phys Beijing 100084 Peoples R China;

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U-net-based blocked artifacts removal method for dynamic computed tomography

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