Dr. Lei Li Profile

Dr. Lei Li

at NDSSETRC

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Author

Publications (16)

Proceedings Article | 12 March 2021 Paper

Projection drift alignment by acquisition time division for x-ray nanotomography

Xiaoqi Xi, Yu Han, Junzheng Zhang, Lei Li, Siyu Tan, Zhaole Yin, Zhaoying Sun, Bin Yan

Proceedings Volume 11763, 11763A1 (2021) https://doi.org/10.1117/12.2588343

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Proceedings Article | 18 December 2019 Paper

Fully convolutional networks based sinogram correction for metal artifact reduction

Linlin Zhu, Yu Han, Ziheng Li, Xiaoqi Xi, Lei Li, Bin Yan, Mingwan Zhu

Proceedings Volume 11342, 1134208 (2019) https://doi.org/10.1117/12.2542909

KEYWORDS: Metals, X-ray computed tomography, Convolution, Computed tomography, Image processing, Medical imaging, Nondestructive evaluation, Medicine

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Proceedings Article | 10 September 2019 Paper

Effect of tube setting variables on image quality in industrial x-ray computed tomography

Xiaoqi Xi, Zhaoying Sun, Yu Han, Lei Li, Bin Yan, Yongchao Li

Proceedings Volume 11113, 111131U (2019) https://doi.org/10.1117/12.2531796

KEYWORDS: Signal to noise ratio, Image quality, X-ray computed tomography, Modulation transfer functions, Spatial resolution, Computed tomography, CT reconstruction

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Proceedings Article | 28 May 2019 Paper

A sinogram inpainting method based on generative adversarial network for limited-angle computed tomography

Ziheng Li, Wenkun Zhang, Linyuan Wang, Ailong Cai, Ningning Liang, Bin Yan, Lei Li

Proceedings Volume 11072, 1107220 (2019) https://doi.org/10.1117/12.2533757

KEYWORDS: Computed tomography, Image restoration, Reconstruction algorithms, CT reconstruction, Gallium nitride, Image segmentation, Computer programming, Lithium, Image quality, Switching

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Proceedings Article | 28 May 2019 Paper

Projection super-resolution based on convolutional neural network for computed tomography

Chao Tang, Wenkun Zhang, Ziheng Li, Ailong Cai, Linyuan Wang, Lei Li, Ningning Liang, Bin Yan

Proceedings Volume 11072, 1107233 (2019) https://doi.org/10.1117/12.2533766

KEYWORDS: Super resolution, Computed tomography, X-ray computed tomography, Convolution, Convolutional neural networks, Image resolution, CT reconstruction, Image quality, 3D image processing

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Proceedings Article | 10 May 2019 Paper

Metal artifact reduction based on fully convolutional networks in CT image domain

Linlin Zhu, Yu Han, Lei Li, Yifu Xu, Xiaoqi Xi, Bin Yan, Kai Xiao

Proceedings Volume 11068, 110681U (2019) https://doi.org/10.1117/12.2524635

KEYWORDS: Metals, X-ray computed tomography, Computed tomography, Image processing, Convolution, Deconvolution, X-rays

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Proceedings Article | 12 December 2018 Paper

Effect of tube setting on image quality in industrial x-ray computed tomography

Zhaoying Sun, Lei Li, Xiaoqi Xi, Yu Han, Bin Yan, Lihui Rong, Sangsang Zhou

Proceedings Volume 10845, 108450A (2018) https://doi.org/10.1117/12.2504429

KEYWORDS: Image quality, Signal to noise ratio, X-ray computed tomography, X-ray imaging, X-rays, CT reconstruction, 3D image reconstruction, Image enhancement, Sun, Nondestructive evaluation

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Proceedings Article | 24 October 2017 Paper

An optimized acquisition approach exploiting geometrical calibration in x-ray cone-beam computed tomography

Kai Xiao, Yu Han, Xiaoqi Xi, Haibing Bu, Lei Li, Bin Yan, Yanmin Sun, Jingyu Wang, Jianbang Liu

Proceedings Volume 10462, 104624Q (2017) https://doi.org/10.1117/12.2285578

KEYWORDS: Calibration, X-ray computed tomography, X-ray imaging, Image restoration

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X-ray cone-beam computed tomography, featuring high precision and fast-imaging speed, has been widely used in industrial non-destructive testing applications for the three dimensional visualization of internal structures. Due to mechanical imperfections, geometric calibrations are imperative to high quality image reconstruction. Currently, the twoball phantom-based calibration procedures exploiting the projection trajectories of the phantoms are the most commonly used approach for the estimation of the geometrical parameters and the calibration of CT system. However, an additional scan needs to be performed, even after each object acquisition when lack of system reproducibility, leading to multiplied calibration times. The emphasis of this paper is to optimize the process of acquisition in cone-beam CT imaging with minimal time, based on the understanding of the determination of the ball position in typical phantom-based geometric calibration algorithms. An applicable condition of the calibration algorithm for simultaneously scanning objects and calibration phantoms is proposed and demonstrated, which is that the minimum projection value of the scanned object needs to be at least 100 counts higher than those of the calibration phantom, with consideration of the system noise. The CT experiments are based on a laboratory industrial cone-beam CT system with a micro-focus x-ray tube (Thales Hawkeye 130) and a flat panel detector (Thales Pixium RF4343). Objects imaged are chosen with a wide projection value range, from low-Z watermelon seeds and high-Z materials, including a standard Micro CT Bar Pattern Phantom (QRM) for image quality assessment. In these experiments, objects, as well as two-ball phantoms, both placed in the field of view without overlapping in the vertical direction, are projected over 360 degrees, instead of scanning the calibration phantoms separately. Hence, the true geometrical relationship is resolved utilizing the two-ball algorithm. Both simulation and experimental results confirm that the calculated geometrical parameters will not be affected by the objects as long as their projection value difference meeting the requirements above. And the reconstruction image quality is almost the same with those by an independent calibration. Compared to the traditional application of the phantombased geometrical calibration method, the novel approach presented in this paper has obvious advantages from an imaging perspective, saving acquisition time and eliminating the undesired influence from the operation staff for the same cost.

Proceedings Article | 19 October 2016 Paper

Beam hardening correction for interior tomography based on exponential formed model and radon inversion transform

Siyu Chen, Hanming Zhang, Lei Li, Xiaoqi Xi, Yu Han, Bin Yan

Proceedings Volume 10155, 101553D (2016) https://doi.org/10.1117/12.2247372

KEYWORDS: Tomography, Radon, Radon transform

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Proceedings Article | 19 October 2016 Paper

Model-based x-ray energy spectrum estimation algorithm from CT scanning data with spectrum filter

Lei Li, Lin-Yuan Wang, Bin Yan

Proceedings Volume 10155, 101553S (2016) https://doi.org/10.1117/12.2247466

KEYWORDS: Data modeling, Model-based design, X-ray computed tomography, Optical filters, Computed tomography

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Proceedings Article | 29 August 2016 Paper

CT reconstruction from sparse projections based on extrapolation in Fourier domain

Zhao Jin, Lei Li, Linyuan Wang, Zengguang Li, Hanming Zhang, Bin Yan

Proceedings Volume 10033, 100334I (2016) https://doi.org/10.1117/12.2244034

KEYWORDS: CT reconstruction, Fourier transforms, Reconstruction algorithms, X-ray computed tomography, Detection and tracking algorithms, Image quality, Image restoration, Algorithm development, Expectation maximization algorithms, Sensors

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Proceedings Article | 29 August 2016 Paper

A filter design method for beam hardening correction in middle-energy x-ray computed tomography

Siyu Chen, Xiaoqi Xi, Lei Li, Leifei Luo, Yu Han, Jingyu Wang, Bin Yan

Proceedings Volume 10033, 1003352 (2016) https://doi.org/10.1117/12.2245152

KEYWORDS: X-ray computed tomography, X-rays, Optical filters, Signal attenuation, Photons, Metals, Monte Carlo methods, Aluminum, Mass attenuation coefficient, Copper

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Proceedings Article | 15 October 2015 Paper

Design and implemention of a multi-functional x-ray computed tomography system

Lei Li, Xiaoqi Xi, Yu Han, Bin Yan, Xiang Zhang, Lin Deng, Siyu Chen, Zhao Jin, Zengguang Li

Proceedings Volume 9672, 967215 (2015) https://doi.org/10.1117/12.2202998

KEYWORDS: Automotive electronic systems, Sensors, X-ray sources, Spatial resolution, X-ray computed tomography, Imaging systems, Tomography, Computing systems, X-rays, Nondestructive evaluation

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Proceedings Article | 15 October 2015 Paper

Tomographic observation of integrated circuit based on x-ray microscopy

Xiaoqi Xi, Lei Li, Bin Yan, Lin Deng, Yu Han, Kai Zhang

Proceedings Volume 9672, 96720R (2015) https://doi.org/10.1117/12.2199840

KEYWORDS: X-ray microscopy, Integrated circuits, Image resolution, Copper, Tomography, Spatial resolution, Scanning electron microscopy, Silicon, Nondestructive evaluation, 3D image processing

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Proceedings Article | 15 October 2015 Paper

CUDA-based high-performance computing of the S-BPF algorithm with no-waiting pipelining

Lin Deng, Bin Yan, Qingmei Chang, Yu Han, Xiang Zhang, Xiaoqi Xi, Lei Li

Proceedings Volume 9673, 96730R (2015) https://doi.org/10.1117/12.2199794

KEYWORDS: Reconstruction algorithms, Algorithm development, Image processing, Sensors, X-ray computed tomography, GPU based image processing, Graphics processing units, Data hiding, Head, Lithium

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Proceedings Article | 30 August 2013 Paper

Image reconstruction from partial pseudo polar Fourier sampling based on alternating direction total variation minimization

Qiu-hong Liu, Fan Shu, Wen-kun Zhang, Ai-long Cai, Lei Li, Bin Yan

Proceedings Volume 8910, 89100T (2013) https://doi.org/10.1117/12.2032816

KEYWORDS: Reconstruction algorithms, Sensors, Image restoration, Design for manufacturing, Computed tomography, Detection and tracking algorithms, Algorithm development, Numerical simulations, Data modeling, Fourier transforms

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Showing 5 of 16 publications

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