Dr. Xiaoqi Xi Profile

Dr. Xiaoqi Xi

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Publications (19)

Proceedings Article | 8 November 2023 Paper

Scanning coherent diffraction imaging using cascaded residual network

Mengnan Liu, Yu Han, Xiaoqi Xi, Linlin Zhu, Qi Zhong, Ningning Liang, Lei Li, Bin Yan

Proceedings Volume 12923, 1292328 (2023) https://doi.org/10.1117/12.3011412

KEYWORDS: Reconstruction algorithms, Image restoration, Algorithm development, Phase retrieval, Network architectures

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Proceedings Article | 10 August 2023 Paper

A study on low-dose CT image denoising method based on similar block learning

Huijuan Fu, Xiaoqi Xi, Yu Han, Linlin Zhu, Mengnan Liu, Siyu Tan, Chang Liu, Lei Li, Bin Yan

Proceedings Volume 12748, 127480F (2023) https://doi.org/10.1117/12.2689480

KEYWORDS: Image processing, Computed tomography, X-ray computed tomography, Image denoising, Image quality, Image restoration

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Proceedings Article | 2 March 2022 Paper

A thermal drift correction method for laboratory nano CT based on outlier elimination

Mengnan Liu, Xiaoqi Xi, Yu Han, Siyu Tan, Lei Li, Bin Yan

Proceedings Volume 12158, 121580G (2022) https://doi.org/10.1117/12.2626906

KEYWORDS: Computed tomography, Sensors, Tomography, Thermal modeling, Statistical modeling, Signal to noise ratio, Image registration, Image processing, Calibration, X-rays

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Proceedings Article | 2 March 2022 Paper

Visual analysis of image features in CT reconstruction based on convolutional neural network

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

Proceedings Volume 12158, 1215806 (2022) https://doi.org/10.1117/12.2626905

KEYWORDS: CT reconstruction, Image processing, Reconstruction algorithms, X-ray computed tomography, Visualization, Convolution, Computed tomography, Image analysis

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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 | 5 November 2020 Paper

CT local reconstruction method based on truncated data extrapolation network

Yuying Du, Linlin Zhu, Xiaoqi Xi, Yu Han, Lei Li, Bin Yan

Proceedings Volume 11565, 1156512 (2020) https://doi.org/10.1117/12.2580364

KEYWORDS: Reconstruction algorithms, Head, Neural networks, Computed tomography, Abdomen, Image quality, X-ray computed tomography, Tomography, Image filtering

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Proceedings Article | 5 November 2020 Paper

Low dose x-ray CT image denoising via U-net in projection domain

Xiaofu Song, Linlin Zhu, Xiaoqi Xi, Yu Han, Lei Li, Zhiwei Feng, Mingwan Zhu, Guanyu Kang, Bin Yan

Proceedings Volume 11565, 1156513 (2020) https://doi.org/10.1117/12.2580369

KEYWORDS: X-ray computed tomography, Image quality, Convolution, Image processing, Computer programming, Computed tomography, Image denoising, Denoising, X-rays

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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 | 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 | 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

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 | 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 | 18 August 2011 Paper

Design considerations and detection capability verification of an imaging Thomson scattering system based on an IEMCCD

Xiaoqi Xi, Junyu Zhao, Shinichiro Kado, Qing Zang, Xiaofeng Han, Xingxing Dai, Jianhua Yang, Mengting Li, Chunqiang Shao

Proceedings Volume 8194, 819420 (2011) https://doi.org/10.1117/12.900497

KEYWORDS: Thomson scattering, Scattering, Imaging systems, Sensors, Laser scattering, Signal detection, Image intensifiers, Spectroscopy, Light scattering, Electron multiplying charge coupled devices

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Proceedings Article | 18 August 2011 Paper

Gain and noise analysis of an intensified EMCCD

Xiaoqi Xi, Junyu Zhao, Qing Zang, Xiaofeng Han, Xingxing Dai, Jianhua Yang, Lili Zhang, Mengting Li

Proceedings Volume 8194, 81942O (2011) https://doi.org/10.1117/12.900801

KEYWORDS: Electron multiplying charge coupled devices, Signal to noise ratio, Image intensifiers, Interference (communication), Signal detection, Sensors, Image resolution, Thomson scattering, Signal processing, Microchannel plates

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Showing 5 of 19 publications

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