Dr. Wei Zhang Profile

Dr. Wei Zhang

Research Scholar at Univ of California Merced

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Author

Publications (11)

Proceedings Article | 27 February 2019 Presentation + Paper

Focused x-ray luminescence computed tomography: experimental studies

Michael Lun, Wei Zhang, Changqing Li

Proceedings Volume 10871, 108710G (2019) https://doi.org/10.1117/12.2506927

KEYWORDS: Imaging systems, X-ray imaging, X-rays, X-ray detectors, Luminescence, Photons, Computed tomography

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Proceedings Article | 13 February 2018 Presentation + Paper

Optimization of the conical mirror design based on Monte Carlo simulations for fluorescence molecular tomography

Yue Zhao, Wei Zhang, Changqing Li

Proceedings Volume 10487, 104870M (2018) https://doi.org/10.1117/12.2290665

KEYWORDS: Mirrors, Monte Carlo methods, Photons, Reflection, Luminescence, Fluorescence tomography, Tomography, Tissues, Imaging systems, Ray tracing

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Proceedings Article | 12 February 2018 Paper

High energy photons excited photodynamic cancer therapy in vitro

Yiping Guo, Shi Sheng, Wei Zhang, Michael Lun, Shih-Ming Tsai, Wei-Chun Chin, Roy Hoglund, Changqing Li

Proceedings Volume 10476, 104760T (2018) https://doi.org/10.1117/12.2291252

KEYWORDS: Photodynamic therapy, Photons, Cancer, In vitro testing, Nanoparticles, Semiconductor lasers

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SPIE Journal Paper | 10 November 2017 Open Access

X-ray luminescence computed tomography using a focused x-ray beam

Wei Zhang, Michael Lun, Alex Anh-Tu Nguyen, Changqing Li

JBO, Vol. 22, Issue 11, 116004, (November 2017) https://doi.org/10.1117/12.10.1117/1.JBO.22.11.116004

KEYWORDS: X-rays, X-ray imaging, X-ray detectors, Luminescence, Collimation, Numerical simulations, Computed tomography, Imaging systems, Electron multiplying charge coupled devices, Optical testing

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Proceedings Article | 13 March 2017 Presentation + Paper

X-ray luminescence computed tomography: a sensitivity study

Michael Lun, Wei Zhang, Changqing Li

Proceedings Volume 10137, 1013704 (2017) https://doi.org/10.1117/12.2254682

KEYWORDS: X-ray imaging, X-rays, Target detection, Luminescence, Computed tomography, Molecular imaging, Optical imaging, X-ray detectors, X-ray computed tomography, Photons, Imaging systems, X-ray optics

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Proceedings Article | 17 February 2017 Paper

Gaussian kernel based anatomically-aided diffuse optical tomography reconstruction

Reheman Baikejiang, Wei Zhang, Changqing Li

Proceedings Volume 10059, 1005912 (2017) https://doi.org/10.1117/12.2252786

KEYWORDS: Reconstruction algorithms, Diffuse optical tomography, Image restoration, Spatial resolution, Image quality, Computed tomography, Inverse problems, Nonlinear optics, Machine learning, Absorption, Numerical simulations, Image segmentation, CT reconstruction, X-ray computed tomography

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Proceedings Article | 15 February 2017 Presentation + Paper

Fiber based fast sparse sampling x-ray luminescence computed tomography

Wei Zhang, Michael Lun, Changqing Li

Proceedings Volume 10057, 1005704 (2017) https://doi.org/10.1117/12.2252996

KEYWORDS: Luminescence, X-rays, Computed tomography, Electron multiplying charge coupled devices, Optical fibers, Numerical simulations, In vivo imaging, Preclinical imaging, Tomography, Collimation, Reconstruction algorithms, X-ray imaging, X-ray detectors, X-ray optics, Lithium, Sensors

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Proceedings Article | 29 March 2016 Paper

Optimization and performance evaluation of a conical mirror based fluorescence molecular tomography imaging system

Yue Zhao, Wei Zhang, Dianwen Zhu, Changqing Li

Proceedings Volume 9788, 97880R (2016) https://doi.org/10.1117/12.2216523

KEYWORDS: Mirrors, Luminescence, Imaging systems, Fluorescence tomography, Tomography, Monte Carlo methods, Photons, Ray tracing, Reflection, Image restoration, Neodymium, Numerical simulations, Calibration, Cameras

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Proceedings Article | 29 March 2016 Paper

CT guided diffuse optical tomography for breast cancer imaging

Reheman Baikejiang, Wei Zhang, Dianwen Zhu, Changqing Li

Proceedings Volume 9788, 97882K (2016) https://doi.org/10.1117/12.2216402

KEYWORDS: Imaging systems, Computed tomography, Electron multiplying charge coupled devices, Cameras, Breast cancer, Breast, Absorption, Mammography, Calibration, Tissues

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Proceedings Article | 29 March 2016 Paper

Multiple pinhole collimator based microscopic x-ray luminescence computed tomography

Wei Zhang, Dianwen Zhu, Changqing Li

Proceedings Volume 9788, 97880Q (2016) https://doi.org/10.1117/12.2213751

KEYWORDS: X-rays, Collimators, Luminescence, Computed tomography, X-ray imaging, Spatial resolution, Tissue optics, X-ray optics, Electron multiplying charge coupled devices, Imaging systems, Collimation, Numerical simulations

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X-ray luminescence computed tomography (XLCT) is a new hybrid imaging modality, which has the capability to improve optical spatial resolution to hundreds of micrometers for deep targets. In this paper, we report a multiple pinhole collimator based microscopic X-ray luminescence computed tomography (microXLCT) system for small animal imaging. Superfine collimated X-ray pencil beams are used to excite deeply embedded phosphor particles, allowing us to obtain sub-millimeter optical spatial resolution in deep tissues. Multiple collimated X-ray beams are generated by mounting an array of pinholes in the front of a powerful X-ray tube. With multiple X-ray beams scanning, the phosphor particles in the region of the multiple beams are excited simultaneously, which requires less scanning time compared with a single beam scanning. The emitted optical photons on the top surface of the phantom are measured with an electron multiplying charge-coupled device (EMCCD) camera. Meanwhile, an X-ray detector is used to determine the X-ray beam size and position, which are used as structural guidance in the microXLCT image reconstruction. To validate the performance of our proposed multiple pinhole based microXLCT imaging system, we have performed numerical simulations and a phantom experiment. In the numerical simulations, we simulated a cylindrical phantom with two and six embedded targets, respectively. In the simulations, we used four parallel X-ray beams with the beam diameter of 0.1 mm and the beam interval of 3.2 mm. We can reconstruct deeply embedded multiple targets with a target diameter of 0.2 mm using measurements in six projections, which indicated that four parallel X-ray beam scan could reduce scanning time without comprising the reconstructed image quality. In the phantom experiment, we generated two parallel X-ray beams with the beam diameter of 0.5 mm and the beam interval of 4.2 mm. We scanned a phantom of one target with the two parallel X-ray beams. The target was reconstructed successfully, which indicated that multiple collimated X-ray beam scan approach is feasible in small animal imaging.

Proceedings Article | 7 March 2016 Paper

Direct reconstruction of pharmacokinetic parameters in dynamic fluorescence molecular tomography by the augmented Lagrangian method

Dianwen Zhu, Wei Zhang, Yue Zhao, Changqing Li

Proceedings Volume 9701, 97010R (2016) https://doi.org/10.1117/12.2210745

KEYWORDS: Tomography, Luminescence, Fluorescence tomography, Signal to noise ratio, Reconstruction algorithms, Direct methods, Tissues, Liver, Statistical modeling, Interference (communication)

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Showing 5 of 11 publications

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