Dr. Wenxiang Cong Profile

Dr. Wenxiang Cong

Research Scientist at Rensselaer Polytechnic Institute

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Author

Publications (35)

Proceedings Article | 23 October 2024 Presentation + Paper

Oxygenation imaging of deep targets at high resolution with an x-ray luminescence micro-CT system

Yibing Zhang, Yile Fang, Vigjna Abbaraju, Jeffrey Anker, Wenxiang Cong, Ge Wang, Changqing Li

Proceedings Volume 13152, 1315218 (2024) https://doi.org/10.1117/12.3027929

KEYWORDS: Oxygen, X-rays, Oxygenation, Sensors, Photons, Image restoration, Imaging systems, X-ray imaging, Image sensors, X-ray computed tomography

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Proceedings Article | 14 October 2022 Presentation + Paper

Motion correction for robot-based x-ray photon-counting CT at ultrahigh resolution

Mengzhou Li, Jana Bohacova, Josef Uher, Wenxiang Cong, Jay Rubinstein, Ge Wang

Proceedings Volume 12242, 122420Y (2022) https://doi.org/10.1117/12.2635263

KEYWORDS: Sensors, Robotics, X-ray computed tomography, X-rays, Scanners, Calibration, Image resolution, Imaging systems, X-ray sources, Reconstruction algorithms

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Ultrahigh-resolution CT is highly desirable in many clinical applications, such as cochlear implantation and coronary stenosis assessment. Despite the wide accessibility to micro-CT for preclinical research, there are no such micro-CT scanners for clinical use, due to several issues including high radiation dose, patient movement, limited X-ray source power and long image time. To meet the challenge, here we design a robotic-arm-based clinical photon-counting micro-CT system in the interior tomography mode for temporal bone imaging at a 50 µm resolution. We adopt twin collaborative robotic arms. These robotic arms can be operated near humans without danger of injury due to collision. One robot steers the source, the other the detector. The six-axis robot pair defines a volume of interest (VOI) more flexibly than the traditional rotation gantries and C-arm systems. The robotic system allows arbitrary imaging geometry. The required spatial resolution is on the same order of the robot mechanical precision, therefore the geometric errors due to robotic coordination together with patient motion, and system misalignment must be addressed. In this paper, we propose a locally linear embedding-based motion correction method to solve this problem to correct all these geometric errors in an unified framework with a nine-degree-of-freedom model. Different from the conventional motion correction methods that rely on gradient-based parametric optimization, our method utilizes a parametric searching mechanism through iterative reconstruction and without assuming any smoothness of the errors as a function of the view angle. The effectiveness of our method is first demonstrated with numerical simulation and further verified on a set of limited-angle cone-beam scans of a sacrificed mouse using our robotic-arm-based imaging system. Sharper images with clearer anatomical details in the absence of misalignment artifacts are obtained after our data-driven geometric calibration, suggesting a great potential of our method in biomedical and industrial applications.

Proceedings Article | 9 September 2021 Presentation + Paper

High-resolution interior tomography with a deep neural network trained on a low-resolution dataset

Mengzhou Li, Wenxiang Cong, Ge Wang

Proceedings Volume 11840, 1184018 (2021) https://doi.org/10.1117/12.2594286

KEYWORDS: Lawrencium, Bone, Tomography, Image filtering, Computed tomography, Sensors, Neural networks, Image restoration, CT reconstruction, Signal attenuation

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Proceedings Article | 9 September 2021 Presentation + Paper

Simultaneous electron density and attenuation coefficient reconstruction: a feasibility study

Christopher Wiedeman, Wenxiang Cong, Ge Wang

Proceedings Volume 11840, 118400D (2021) https://doi.org/10.1117/12.2596280

KEYWORDS: Signal attenuation, Sensors, Photons, Medical imaging, CT reconstruction, Computed tomography, Image restoration, Tomography, Scattering, Image analysis

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SPIE Journal Paper | 18 March 2021 Open Access

Focused x-ray luminescence imaging system for small animals based on a rotary gantry

Michael Lun, Wenxiang Cong, Mohammad Arifuzzaman, Meenakshi Ranasinghe, Sriparna Bhattacharya, Jeffrey Anker, Ge Wang, Changqing Li

JBO, Vol. 26, Issue 03, 036004, (March 2021) https://doi.org/10.1117/12.10.1117/1.JBO.26.3.036004

KEYWORDS: X-rays, X-ray imaging, Luminescence, Imaging systems, Scanners, Reconstruction algorithms, X-ray computed tomography, Tissue optics, Photons, Image restoration

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Significance: The ability to detect and localize specific molecules through tissue is important for elucidating the molecular basis of disease and treatment. Unfortunately, most current molecular imaging tools in tissue either lack high spatial resolution (e.g., diffuse optical fluorescence tomography or positron emission tomography) or lack molecular sensitivity (e.g., micro-computed tomography, μCT). X-ray luminescence imaging emerged about 10 years ago to address this issue by combining the molecular sensitivity of optical probes with the high spatial resolution of x-ray imaging through tissue. In particular, x-ray luminescence computed tomography (XLCT) has been demonstrated as a powerful technique for the high-resolution imaging of deeply embedded contrast agents in three dimensions (3D) for small-animal imaging. Aim: To facilitate the translation of XLCT for small-animal imaging, we have designed and built a small-animal dedicated focused x-ray luminescence tomography (FXLT) scanner with a μCT scanner, synthesized bright and biocompatible nanophosphors as contrast agents, and have developed a deep-learning-based reconstruction algorithm. Approach: The proposed FXLT imaging system was designed using computer-aided design software and built according to specifications. NaGdF4 nanophosphors doped with europium or terbium were synthesized with a silica shell for increased biocompatibility and functionalized with biotin. A deep-learning-based XLCT image reconstruction was also developed based on the residual neural network as a data synthesis method of projection views from few-view data to enhance the reconstructed image quality. Results: We have built the FXLT scanner for small-animal imaging based on a rotational gantry. With all major imaging components mounted, the motor controlling the gantry can be used to rotate the system with a high accuracy. The synthesized nanophosphors displayed distinct x-ray luminescence emission, which enables multi-color imaging, and has successfully been bound to streptavidin-coated substrates. Lastly, numerical simulations using the proposed deep-learning-based reconstruction algorithm has demonstrated a clear enhancement in the reconstructed image quality. Conclusions: The designed FXLT scanner, synthesized nanophosphors, and deep-learning-based reconstruction algorithm show great potential for the high-resolution molecular imaging of small animals.

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Proceedings Article | 25 February 2020 Paper

X-ray luminescence imaging for small animals

Michael Lun, Wenxiang Cong, Md. Arifuzzaman, Meenakshi Ranasinghe, Sriparna Bhattacharya, Jeffrey Anker, Ge Wang, Changqing Li

Proceedings Volume 11224, 112240F (2020) https://doi.org/10.1117/12.2544601

KEYWORDS: X-rays, X-ray imaging, Reconstruction algorithms, Luminescence, Imaging systems, Photons, Near infrared, Scanners, Image restoration

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Proceedings Article | 10 September 2019 Presentation + Paper

Dual network architecture for few-view CT - trained on ImageNet data and transferred for medical imaging

Huidong Xie, Hongming Shan, Wenxiang Cong, Xiaohua Zhang, Shaohua Liu, Ruola Ning, Ge Wang

Proceedings Volume 11113, 111130V (2019) https://doi.org/10.1117/12.2531198

KEYWORDS: X-ray computed tomography, Network architectures, CT reconstruction, Image filtering, Medical imaging, X-rays, Optical filters, Associative arrays

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Proceedings Article | 10 September 2019 Paper

Deep-learning-based breast CT for radiation dose reduction

Wenxiang Cong, Hongming Shan, Xiaohua Zhang, Shaohua Liu, Ruola Ning, Ge Wang

Proceedings Volume 11113, 111131L (2019) https://doi.org/10.1117/12.2530234

KEYWORDS: Breast, Computed tomography, X-ray computed tomography, Image restoration, Neural networks, X-rays, Network architectures, Image quality, Data modeling, Convolution

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SPIE Journal Paper | 20 September 2017 Open Access

Optical tomographic imaging for breast cancer detection

Wenxiang Cong, Xavier Intes, Ge Wang

JBO, Vol. 22, Issue 09, 096011, (September 2017) https://doi.org/10.1117/12.10.1117/1.JBO.22.9.096011

KEYWORDS: Tumors, Tissues, Absorption, Breast, Image restoration, Breast cancer, Mammography, Optical imaging, Tomography, Tissue optics

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Proceedings Article | 19 September 2017 Presentation + Paper

Numerical study on simultaneous emission and transmission tomography in the MRI framework

Lars Gjesteby, Wenxiang Cong, Ge Wang

Proceedings Volume 10391, 103910F (2017) https://doi.org/10.1117/12.2272505

KEYWORDS: Magnetic resonance imaging, Tomography, Computed tomography, Magnetism, Data acquisition, Imaging systems, Single photon emission computed tomography

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Proceedings Article | 21 October 2016 Paper

Innovation and fusion of x-ray and optical tomography for mouse studies of breast cancer

Ge Wang, Wenxiang Cong, Qingsong Yang, Qi Pian, Shouping Zhu, Jimin Liang, Margarida Barroso, Xavier Intes

Proceedings Volume 9967, 99671R (2016) https://doi.org/10.1117/12.2238188

KEYWORDS: X-rays, Imaging systems, X-ray optics, Optical tomography, Breast cancer, X-ray imaging, Tomography, Tissue optics, Receptors, Tumors

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Proceedings Article | 4 October 2016 Presentation + Paper

Interior tomography from differential phase contrast data via Hilbert transform based on spline functions

Qingsong Yang, Wenxiang Cong, Ge Wang

Proceedings Volume 9967, 996709 (2016) https://doi.org/10.1117/12.2237818

KEYWORDS: Phase contrast, X-ray imaging, X-rays, Tomography, Reconstruction algorithms, X-ray technology, Medicine, Biology, X-ray computed tomography, Physics

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Proceedings Article | 3 October 2016 Presentation + Paper

X-ray interior tensor tomography with 2D gratings

Mianyi Chen, Qingsong Yang, Wenxiang Cong, Biao Wei, Ge Wang

Proceedings Volume 9967, 99670Y (2016) https://doi.org/10.1117/12.2238408

KEYWORDS: Scattering, Tomography, X-rays, X-ray imaging, Laser scattering, 3D image reconstruction, Imaging systems, Phase contrast, Reconstruction algorithms, Sensors

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Proceedings Article | 20 September 2016 Presentation + Paper

Enhancing spatial resolution for spectral uCT with aperture encoding

Matthew Getzin, Tianyu Liu, Qingsong Yang, Mianyi Chen, Wenxiang Cong, George Xu, Ge Wang

Proceedings Volume 9967, 99670W (2016) https://doi.org/10.1117/12.2237840

KEYWORDS: Absorption, Image resolution, Resolution enhancement technologies, Computer programming, X-ray imaging, Sensors, X-rays, Monte Carlo methods, Digital filtering, Image filtering

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Proceedings Article | 13 September 2014 Paper

Image reconstruction for x-ray K-edge imaging with a photon counting detector

Bo Meng, Wenxiang Cong, Yan Xi, Ge Wang

Proceedings Volume 9212, 921219 (2014) https://doi.org/10.1117/12.2061392

KEYWORDS: Tissues, Signal attenuation, X-rays, Sensors, Gadolinium, X-ray imaging, Photon counting, Image restoration, X-ray detectors, Numerical simulations

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Proceedings Article | 12 September 2014 Paper

Second order x-ray in-line phase-contrast imaging

Wenxiang Cong, Ge Wang

Proceedings Volume 9212, 92120T (2014) https://doi.org/10.1117/12.2062077

KEYWORDS: X-rays, X-ray imaging, Phase shifts, Tissues, Signal attenuation, Phase contrast, Image restoration, Near field diffraction, Scattering, Phase imaging

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SPIE Journal Paper | 2 July 2014 Open Access

X-ray micromodulated luminescence tomography in dual-cone geometry

Wenxiang Cong, Zhengwei Pan, Robert Filkins, Alok Srivastava, A. Nadeem Ishaque, Plamen Stefanov, Ge Wang

JBO, Vol. 19, Issue 07, 076002, (July 2014) https://doi.org/10.1117/12.10.1117/1.JBO.19.7.076002

KEYWORDS: X-rays, Luminescence, Tomography, Near infrared, Image restoration, X-ray imaging, X-ray optics, X-ray sources, Spatial resolution, Electron multiplying charge coupled devices

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Proceedings Article | 17 February 2014 Paper

Comparison of lp-regularization-based reconstruction methods for time domain fluorescence molecular tomography on early time gates

Lingling Zhao, He Yang, Wenxiang Cong, Ge Wang, Xavier Intes

Proceedings Volume 8937, 89370V (2014) https://doi.org/10.1117/12.2038662

KEYWORDS: Luminescence, Tomography, Monte Carlo methods, Spatial resolution, Reconstruction algorithms, Fluorescence tomography, Inverse problems, Kidney, 3D modeling, Data modeling

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Proceedings Article | 17 February 2014 Paper

High resolution 3D image reconstruction in laminar optical tomography based on compressive sensing

Fugang Yang, Mehmet Ozturk, Wenxiang Cong, Ge Wang, Xavier Intes

Proceedings Volume 8937, 89370R (2014) https://doi.org/10.1117/12.2037890

KEYWORDS: Inverse problems, Optical tomography, Compressed sensing, Data modeling, Image resolution, Image restoration, Luminescence, Monte Carlo methods, Sensors, 3D image reconstruction

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Proceedings Article | 17 October 2012 Paper

High order total variation method for interior tomography

Jiansheng Yang, Hengyong Yu, Wenxiang Cong, Ming Jiang, Ge Wang

Proceedings Volume 8506, 85061B (2012) https://doi.org/10.1117/12.929123

KEYWORDS: Tomography, X-rays, Single photon emission computed tomography, Reconstruction algorithms, X-ray computed tomography, Biomedical optics, Algorithm development, Distributed interactive simulations, Signal attenuation, X-ray imaging

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SPIE Journal Paper | 1 July 2011 Open Access

Monte Carlo fluorescence microtomography

Alexander Cong, Wenxiang Cong, Ge Wang, Matthias Hofmann, Yong Xu

JBO, Vol. 16, Issue 07, 070501, (July 2011) https://doi.org/10.1117/12.10.1117/1.3596171

KEYWORDS: Luminescence, Monte Carlo methods, Tissue optics, Light scattering, Scattering, Microscopy, Spatial resolution, Tomography, Tissues, Biomedical optics

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SPIE Journal Paper | 1 June 2011 Open Access

Spectrally resolving and scattering-compensated x-ray luminescence/fluorescence computed tomography

Wenxiang Cong, Haiou Shen, Ge Wang

JBO, Vol. 16, Issue 06, 066014, (June 2011) https://doi.org/10.1117/12.10.1117/1.3592499

KEYWORDS: X-rays, Near infrared, Scattering, Photons, Computed tomography, Laser scattering, Luminescence, X-ray imaging, X-ray fluorescence spectroscopy, Light scattering

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SPIE Journal Paper | 1 March 2008 Open Access

Integral equations of the photon fluence rate and flux based on a generalized Delta-Eddington phase function

Wenxiang Cong, Haiou Shen, Alex Cong, Ge Wang

JBO, Vol. 13, Issue 02, 024016, (March 2008) https://doi.org/10.1117/12.10.1117/1.2907168

KEYWORDS: Scattering, Biomedical optics, Tissue optics, Photon transport, Absorption, Anisotropy, Light scattering, Sensors, Computer simulations, Monte Carlo methods

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Proceedings Article | 13 March 2007 Paper

3D bioluminescent source localization of different depths with spectrum information and adaptive finite element analysis

Yujie Lv, Jie Tian, Wenxiang Cong, Ge Wang, Wei Yang, Min Xu

Proceedings Volume 6510, 651025 (2007) https://doi.org/10.1117/12.709018

KEYWORDS: Reconstruction algorithms, Monte Carlo methods, Tomography, Algorithm development, Diffusion, Finite element methods, Bioluminescence, Source localization, Biomedical optics, Error analysis

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Proceedings Article | 7 September 2006 Paper

Localizing source distribution based on the adaptive finite element methods for bioluminescence tomography

Yujie Lv, Jie Tian, Jie Luo, Hui Li, Wenxiang Cong, Ge Wang, Wei Yang

Proceedings Volume 6318, 63181L (2006) https://doi.org/10.1117/12.678268

KEYWORDS: Tomography, Bioluminescence, Finite element methods, Reconstruction algorithms, Monte Carlo methods, Chemical elements, Error analysis, Diffusion, Photon transport, Lung

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Proceedings Article | 7 September 2006 Paper

Modeling the forward problem based on the adaptive FEMs framework in bioluminescence tomography

Yujie Lv, Jie Tian, Hui Li, Jie Luo, Wenxiang Cong, Ge Wang, Durairaj Kumar

Proceedings Volume 6318, 63180I (2006) https://doi.org/10.1117/12.678273

KEYWORDS: Finite element methods, Bioluminescence, Tomography, Chemical elements, Diffusion, Error analysis, CCD cameras, Scanners, Tissue optics, Lung

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Proceedings Article | 7 September 2006 Paper

Iterative method for bioluminescence tomography based on the radiative transport equation

Wenxiang Cong, Ge Wang

Proceedings Volume 6318, 631826 (2006) https://doi.org/10.1117/12.681268

KEYWORDS: Bioluminescence, Tissue optics, Scattering, Tomography, Reconstruction algorithms, Biomedical optics, Light sources, CCD cameras, Absorption, Iterative methods

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SPIE Journal Paper | 1 March 2006 Open Access

Boundary integral method for bioluminescence tomography

Wenxiang Cong, Ge Wang

JBO, Vol. 11, Issue 02, 020503, (March 2006) https://doi.org/10.1117/12.10.1117/1.2191790

KEYWORDS: Bioluminescence, Tomography, Chemical elements, Diffusion, Data modeling, Chest, Interfaces, Lung, Tissue optics, CCD cameras

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Proceedings Article | 25 April 2005 Paper

Interactive graphic editing tools in bioluminescent imaging simulation

Hui Li, Jie Tian, Jie Luo, Ge Wang, Wenxiang Cong

Proceedings Volume 5686, (2005) https://doi.org/10.1117/12.589930

KEYWORDS: Visualization, Tissues, Lung, Natural surfaces, Monte Carlo methods, Statistical modeling, Computer simulations, Virtual reality, Solids, Optical spheres

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Proceedings Article | 20 April 2005 Paper

Spectroscopic luminescent tomographic imaging for quantitative assessment of hemoglobin oxygenation

Wenxiang Cong, Durairaj Kumar, Alexander Cong, Ge Wang

Proceedings Volume 5745, (2005) https://doi.org/10.1117/12.595427

KEYWORDS: Tissues, Absorption, Diffusion, Blood, Tumors, Numerical simulations, Reconstruction algorithms, Imaging spectroscopy, Spectroscopy, Tomography

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Proceedings Article | 12 April 2005 Paper

Image-guided simulation for bioluminescence tomographic imaging

Durairaj Kumar, Wenxiang Cong, Jacqueline Thiesse, Earl Nixon, John Meinel, Alex Cong, Geoffrey McLennan, Eric Hoffman, Jiang Ming, Ge Wang

Proceedings Volume 5744, (2005) https://doi.org/10.1117/12.595387

KEYWORDS: Monte Carlo methods, Image segmentation, Animal model studies, Photon transport, Reverse modeling, 3D modeling, Bioluminescence, Mathematical modeling, Tissue optics, Tomography

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Proceedings Article | 12 April 2005 Paper

Geometrical modeling using multiregional marching tetrahedra for bioluminescence tomography

Alexander Cong, Yi Liu, D. Kumar, Wenxiang Cong, Ge Wang

Proceedings Volume 5744, (2005) https://doi.org/10.1117/12.595403

KEYWORDS: Image segmentation, Prisms, Monte Carlo methods, Bioluminescence, Light sources, Tomography, Heart, Liver, Lung, Bone

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Proceedings Article | 26 October 2004 Paper

A practical method to determine the light source distribution in bioluminescent imaging

Wenxiang Cong, Durairaj Kumar, Yi Liu, Alexander Cong, Ge Wang

Proceedings Volume 5535, (2004) https://doi.org/10.1117/12.560524

KEYWORDS: Light sources, Tissues, Diffusion, Data modeling, Tomography, Natural surfaces, Photons, Chemical elements, Spherical lenses, Bioluminescence

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Proceedings Article | 26 October 2004 Paper

In vivo tomographic imaging based on bioluminescence

Wenxiang Cong, Durairaj Kumar, Yubin Kang, Patrick Sinn, Earl Nixon, John Mienel, Melissa Suter, Lihong Wang, Geoffrey McLennan, Eric Hoffman, Ge Wang

Proceedings Volume 5535, (2004) https://doi.org/10.1117/12.560522

KEYWORDS: In vivo imaging, Bioluminescence, Tomography, Light sources, Point spread functions, Tissue optics, Liver, Tissues, Natural surfaces, CCD cameras

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Proceedings Article | 26 October 2004 Paper

Development of lung tissue phantoms for bioluminescent imaging

Durairaj Kumar, Wenxiang Cong, Frank Bohenkamp, Tarun Kakaday, Peter Taft, Lihong Wang, Geoffrey McLennan, Eric Hoffman, Ge Wang

Proceedings Volume 5535, (2004) https://doi.org/10.1117/12.560530

KEYWORDS: Tissue optics, CCD cameras, Tissues, Tomography, Ocean optics, Lung, Imaging systems, Bioluminescence, Photons, Light sources

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Showing 5 of 35 publications

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