Dr. Yanqi Zhang Profile

Dr. Yanqi Zhang

Lecturer at Tianjin Medical University

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Publications (11)

Proceedings Article | 27 November 2023 Poster + Paper

IR780-based diffuse fluorescence tomography for cancer detection

Zhuanxia He, Limin Zhang, Lingxiu Xing, Wenjing Sun, Xiujun Gao, Yanqi Zhang, Feng Gao

Proceedings Volume 12770, 127701L (2023) https://doi.org/10.1117/12.2685617

KEYWORDS: Tumors, Fluorescence, Liver, Cancer detection, Imaging systems, In vivo imaging, Fluorescence imaging, Tissues, Fluorescence tomography, Near infrared

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Proceedings Article | 19 December 2022 Poster + Paper

Fluorescence pharmacokinetic parametric imaging method based on dynamic diffuse fluorescence tomography and deep learning

Yanqi Zhang, Limin Zhang, Han Liu, Ping Wang, Ailin Hou, Guohe Wang, Shaokai Sun

Proceedings Volume 12320, 123201M (2022) https://doi.org/10.1117/12.2637777

KEYWORDS: Fluorescence tomography

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SPIE Journal Paper | 22 April 2022 Open Access

High-sensitivity dynamic diffuse fluorescence tomography system for fluorescence pharmacokinetics

Limin Zhang, Nan Cheng, Han Liu, Yingxue Pan, Yanqi Zhang, Feng Gao

JBO, Vol. 27, Issue 04, 046002, (April 2022) https://doi.org/10.1117/12.10.1117/1.JBO.27.4.046002

KEYWORDS: Luminescence, Liver, Imaging systems, Fluorescence tomography, In vivo imaging, Dynamical systems, Modulation, Tumors, Signal detection, Optical fibers

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Significance: Dynamic diffuse fluorescence tomography (DFT) can recover the static distribution of fluorophores and track dynamic temporal events related to physiological and disease progression. Dynamic imaging indocyanine green (ICG) approved by the food and drug administration is still under-exploited because of its characteristics of low quantum yield and relatively rapid tissue metabolism. Aim: In order to acquire the ICG tomographic image sequences for pharmacokinetic analysis, a dynamic DFT system was proposed. Approach: A fiber-based dynamic DFT system adopts square-wave modulation lock-in photon-counting scheme and series-parallel measurement mode, which possesses high sensitivity, large dynamic range, high anti-ambient light ability in common knowledge, as well as good cost performance. In order to investigate the effectiveness of the proposed system, the measurement stability and the anti-crosstalk—a crucial factor affecting the system parallelization—were assessed firstly, then a series of static phantoms, dynamic phantoms and in vivo mice experiments were conducted to verify the imaging capability. Results: The system has the limited dynamic range of 100 dB, the fluctuation of photon counting within 3%, and channel-to-channel crosstalk ratio better than 1.35. Under the condition of a sufficient signal-to-noise ratio, a complete measurement time for one frame image was 10.08 s. The experimental results of static phantoms with a single target and three targets showed that this system can accurately obtain the positions, sizes, and shapes of the targets and the reconstructed images exhibited a high quantitativeness. Further, the self-designed dynamic phantom experiments demonstrated the capability of the system to capture fast changing fluorescence signals. Finally, the in vivo experiments validated the practical capability of the system to effectively track the ICG metabolism in living mice. Conclusions: These results demonstrate that our proposed system can be utilized for assessing ICG pharmacokinetics, which may provide a valuable tool for tumor detection, drug assessment, and liver function evaluation.

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Proceedings Article | 17 February 2020 Paper

Indirect and direct pharmacokinetic parameter reconstruction in dynamic diffuse fluorescence tomography by adaptive extended Kalman filtering scheme

Zhichao Zhao, Limin Zhang, Yanqi Zhang, Han Liu, Ke Shi, Jiao Li, Zhongxing Zhou, Feng Gao

Proceedings Volume 11243, 112431T (2020) https://doi.org/10.1117/12.2543647

KEYWORDS: Luminescence, Fluorescence tomography, Digital filtering, Filtering (signal processing), Tissues, Tumors, Data modeling, Image analysis, Absorption

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Proceedings Article | 20 February 2018 Paper

Highly-sensitive and large-dynamic diffuse optical tomography system for breast tumor detection

Wenwen Du, Limin Zhang, Guoyan Yin, Yanqi Zhang, Huijuan Zhao, Feng Gao

Proceedings Volume 10505, 1050515 (2018) https://doi.org/10.1117/12.2288725

KEYWORDS: Signal detection, Modulation, Tumors, Breast, Absorption, Diffuse optical tomography, Sensors, Imaging systems, Photodetectors, Light

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Proceedings Article | 20 February 2018 Paper

Assessing pharmacokinetics of indocyanine green-loaded nanoparticle in tumor with a dynamic diffuse fluorescence tomography system

Yanqi Zhang, Guoyan Yin, Huijuan Zhao, Wenjuan Ma, Feng Gao, Limin Zhang

Proceedings Volume 10497, 1049724 (2018) https://doi.org/10.1117/12.2287056

KEYWORDS: Tumors, Nanoparticles, Luminescence, In vivo imaging, Fluorescence tomography, Dynamical systems, Indocyanine green, Tissues, Diffusion, Imaging systems

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Proceedings Article | 19 February 2018 Paper

A dynamic system with digital lock-in-photon-counting for pharmacokinetic diffuse fluorescence tomography

Guoyan Yin, Limin Zhang, Yanqi Zhang, Han Liu, Wenwen Du, Wenjuan Ma, Huijuan Zhao, Feng Gao

Proceedings Volume 10486, 1048613 (2018) https://doi.org/10.1117/12.2287821

KEYWORDS: Modulation, Dynamical systems, Imaging systems, Signal detection, Fluorescence tomography, Field programmable gate arrays, Current controlled current source

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Proceedings Article | 31 October 2016 Paper

Preliminary experiments on pharmacokinetic diffuse fluorescence tomography of CT-scanning mode

Yanqi Zhang, Xin Wang, Guoyan Yin, Jiao Li, Zhongxing Zhou, Huijuan Zhao, Feng Gao, Limin Zhang

Proceedings Volume 10024, 100242Y (2016) https://doi.org/10.1117/12.2245951

KEYWORDS: Fluorescence tomography, Luminescence, Tissues, In vivo imaging, Reconstruction algorithms, Optical fibers, Silicon, Mode conditioning cables, Photon counting, Collimators

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SPIE Journal Paper | 19 April 2016 Open Access

Direct reconstruction in CT-analogous pharmacokinetic diffuse fluorescence tomography: two-dimensional simulative and experimental validations

Xin Wang, Yanqi Zhang, Limin Zhang, Jiao Li, Zhongxing Zhou, Huijuan Zhao, Feng Gao

JBO, Vol. 21, Issue 04, 046007, (April 2016) https://doi.org/10.1117/12.10.1117/1.JBO.21.4.046007

KEYWORDS: Fluorescence tomography, Data modeling, Tissues, Signal to noise ratio, Instrument modeling, Performance modeling, In vivo imaging, Digital filtering, Image filtering, Electronic filtering

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Proceedings Article | 18 March 2016 Paper

Towards improved image reconstruction in breast diffuse optical tomography using compressed sensing: a comparative study among Lp (0≤p≤2)sparsity regularizations

Bingyuan Wang, Yihan Wang, Yanqi Zhang, Huijuan Zhao, Feng Gao

Proceedings Volume 9700, 970016 (2016) https://doi.org/10.1117/12.2209564

KEYWORDS: Inverse problems, Image restoration, Optical testing, Optical properties, Breast cancer, Cancer, Image quality, Absorption, Tissues, Scattering

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SPIE Journal Paper | 12 May 2015 Open Access

Full time-resolved diffuse fluorescence tomography accelerated with parallelized Fourier-series truncated diffusion approximation

Xi Yi, Bingyuan Wang, Wenbo Wan, Yihan Wang, Yanqi Zhang, Huijuan Zhao, Feng Gao

JBO, Vol. 20, Issue 05, 056003, (May 2015) https://doi.org/10.1117/12.10.1117/1.JBO.20.5.056003

KEYWORDS: Diffusion, Fluorescence tomography, Reconstruction algorithms, Tissues, Spatial resolution, Atrial fibrillation, Image restoration, Luminescence, Sensors, Continuous wave operation

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Showing 5 of 11 publications

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