Mr. Bo Li Profile

Bo Li

at Nanchang Univ

SPIE Involvement:

Author

Publications (17)

Proceedings Article | 14 September 2021 Paper

Compressed sensing photoacoustic imaging for high-speed imaging with sparse measurement: a theoretical study

Jiaqi Tang, Aojie Zhao, Bo Li, Xianlin Song

Proceedings Volume 11875, 118750N (2021) https://doi.org/10.1117/12.2596682

KEYWORDS: Reconstruction algorithms, Compressed sensing, Signal processing, Photoacoustic imaging, Photoacoustic spectroscopy, Virtual reality, Image quality, Detection theory, Computer simulations, Ultrasonics

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Proceedings Article | 7 September 2021 Poster + Paper

Fast high-quality sparse reconstruction of photoacoustic imaging based on HTP compressed sensing

Jiaqi Tang, Aojie Zhao, Bo Li, Xianlin Song

Proceedings Volume 11815, 118150N (2021) https://doi.org/10.1117/12.2592082

KEYWORDS: Reconstruction algorithms, Signal processing, Compressed sensing, Photoacoustic imaging, Photoacoustic spectroscopy, Detection theory, Image processing, Computer simulations, Ultrasonics, Image quality

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Proceedings Article | 31 August 2021 Paper

Virtual compressed sensing photoacoustic imaging using CoSaMP algorithm based on k-wave

Meijun Sun, Aojie Zhao, Bo Li, Jinhong Zhang, Qiming He, Xianlin Song

Proceedings Volume 11907, 1190739 (2021) https://doi.org/10.1117/12.2603479

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Proceedings Article | 11 July 2021 Poster + Paper

High-speed virtual simulation platform of BP compressed sensing photoacoustic tomography using k-wave

Fenghao Zhang, Jinhong Zhang, Aojie Zhao, Bo Li, Qiming He, Xianlin Song

Proceedings Volume 11844, 1184414 (2021) https://doi.org/10.1117/12.2601396

KEYWORDS: Compressed sensing, Photoacoustic imaging, Reconstruction algorithms, Image restoration, Signal processing, Photoacoustic spectroscopy, Virtual reality, Image quality, Detection theory, Tissue optics

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Proceedings Article | 20 June 2021 Presentation + Paper

Virtual compressed sensing photoacoustic tomography using BPDN algorithm based on k-space

Jing Wang, Bo Li, Aojie Zhao, Xianlin Song

Proceedings Volume 11788, 117880I (2021) https://doi.org/10.1117/12.2592183

KEYWORDS: Compressed sensing, Photoacoustic imaging, Photoacoustic tomography, Photoacoustic spectroscopy, Data storage, Virtual reality, Computer simulations, Biomedical optics, Reconstruction algorithms, Nondestructive evaluation

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Proceedings Article | 18 April 2021 Poster + Presentation + Paper

Fast-detection photoacoustic tomography platform based on GPSR compressed sensing

Jinhong Zhang, Aojie Zhao, Bo Li, Qiming He, Xianlin Song

Proceedings Volume 11772, 117722B (2021) https://doi.org/10.1117/12.2597338

KEYWORDS: Ultrasonics, Photoacoustic microscopy, Modulation, Tissues, Tissue optics, Lens design, Tungsten, Spatial resolution, Signal generators, Pulsed laser operation

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Proceedings Article | 18 April 2021 Poster + Presentation + Paper

High-speed sampling strategy for photoacoustic tomography using ROMP compressed sensing algorithm

Aojie Zhao, Bo Li, Jinhong Zhang, Meijun Sun, Qiming He, Xianlin Song

Proceedings Volume 11772, 1177223 (2021) https://doi.org/10.1117/12.2592089

KEYWORDS: Ultrasonics, Transducers, Acoustics, Sensors, Photoacoustic microscopy, Spherical lenses, Lens design, Ultrasonography, Silica, Prisms

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Proceedings Article | 18 April 2021 Poster + Presentation + Paper

High-efficiency detection photoacoustic imaging for rapid physiological response by breaking the sampling law

Qiming He, Aojie Zhao, Bo Li, Jinhong Zhang, Jiahui Liu, Xianlin Song

Proceedings Volume 11773, 117731E (2021) https://doi.org/10.1117/12.2597339

KEYWORDS: Photoacoustic microscopy, Optical fibers, Imaging systems, Optical resolution, Acoustics, Tissues, Tissue optics, Photoacoustic imaging, Ultrasonics, Tumors

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Proceedings Article | 12 April 2021 Presentation + Paper

Simulation study of compressed sensing photoacoustic tomography based on k-space pseudospectral method

Bo Li, Aojie Zhao, Jinhong Zhang, Qiming He, Jiahui Liu, Xianlin Song

Proceedings Volume 11756, 117561H (2021) https://doi.org/10.1117/12.2589660

KEYWORDS: Compressed sensing, Photoacoustic tomography, Photoacoustic imaging, Photoacoustic spectroscopy, Data storage, Virtual reality, Computer simulations, Biomedical optics, Reconstruction algorithms, Nondestructive evaluation

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Proceedings Article | 22 March 2021 Poster + Paper

Virtual compressed sensing photoacoustic tomography with high-detection efficiency using k-wave

Aojie Zhao, Jiahui Liu, Qiming He, Bo Li, Jinhong Zhang, Jianshuang Wei, Lingfang Song, Xianlin Song

Proceedings Volume 11590, 1159017 (2021) https://doi.org/10.1117/12.2592435

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Proceedings Article | 22 March 2021 Poster + Paper

Bessel ultrasonic sensor for large volumetric optical-resolution photoacoustic microscopy for based on conical acoustic lens

Xianlin Song, Jianshuang Wei, Lingfang Song, Jinhong Zhang, Aojie Zhao, Qiming He, Bo Li, Chong Liu, Jiahui Liu

Proceedings Volume 11590, 1159013 (2021) https://doi.org/10.1117/12.2590881

KEYWORDS: Ultrasonics, Transducers, Acoustics, Sensors, Photoacoustic microscopy, Spherical lenses, Lens design, Ultrasonography, Silica, Prisms

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Proceedings Article | 5 March 2021 Presentation + Paper

Spectrum analysis of photoacoustic signal based on COMSOL

Xianlin Song, Shuilong Wang, Xian Li, Ao Teng, Jianshuang Wei, Aojie Zhao, Bo Li, Zihao Li, Qiming He, Jinhong Zhang, Linfang Song

Proceedings Volume 11642, 116423S (2021) https://doi.org/10.1117/12.2589250

KEYWORDS: Photoacoustic spectroscopy, Spectrum analysis, Signal analyzers, Laser tissue interaction, Tumors, Light wave propagation, Light, Diffusion, Ultrasonics, Temperature metrology

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The study of the relationship between the spectral characteristics of the photoacoustic signal and the size, density and shape of the absorber is of great significance to image reconstruction and is of great practical significance to the better application of photoacoustic imaging in the medical field. This paper uses the simulation software COMSOL Multiphysics to design a two-dimensional simulation model based on finite element to study the relationship between the spectral characteristics of the photoacoustic signal and the properties of the absorber. In this study, the model consists of three parts: 1) water layer; 2) short pulse laser source (wavelength of 840nm); 3) gastric tumor tissue. The laser point source is located in the middle of the upper water layer. By solving the diffusion equation and the biological heat equation, respectively, the propagation of light in the water layer and the temperature change in biological tissues are simulated. When the absorber is irradiated by a Gaussian pulsed laser, due to the extremely short time, the absorber can be regarded as adiabatic expansion after absorbing energy, thereby generating ultrasonic waves. Using the finite element analysis method, the complex situation of photoacoustic imaging is transformed into the coupling of multiple physical fields, and the photoacoustic signal is obtained by numerical calculation of partial differential equations. Analyzing the simulation results, it is found that the spectral characteristics of the photoacoustic signal are closely related to the size of the absorber. The relationship obtained in this simulation experiment is: the spectral intercept and the size of the absorber have a power function relationship, the larger the size, the larger the spectral intercept , And the growth rate increases with the increase of the size; the spectral slope and the size of the absorber also have a power function relationship, the larger the size, the smaller the spectral slope, and the rate of change of the slope decreases with the increase of the size. For the relationship between the spectral characteristics and density of the photoacoustic signal, the intercept and slope characteristics are opposite. As the density of the photoacoustic absorber increases, the spectral slope of the photoacoustic signal increases, and the spectral intercept of the photoacoustic signal decreases. The photoacoustic signals and spectrograms of different shapes of absorbers have their own characteristics. The research results in this paper can promote the research of photoacoustic imaging and can better apply photoacoustic imaging in the medical field.

Proceedings Article | 5 March 2021 Poster + Presentation + Paper

Simulation platform of compressed sensing photoacoustic tomography based on k-wave

Aojie Zhao, Jiahui Liu, Jianshuang Wei, Qiming He, Bo Li, Jinhong Zhang, Lingfang Song, Xianlin Song

Proceedings Volume 11642, 116424A (2021) https://doi.org/10.1117/12.2582968

KEYWORDS: Compressed sensing, Photoacoustic tomography, Photoacoustic imaging, Photoacoustic spectroscopy, Virtual reality, Data storage, Computer simulations, Biomedical optics, Reconstruction algorithms, Nondestructive evaluation

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Proceedings Article | 5 March 2021 Presentation + Paper

Analysis on the photonic transmission and heat transfer of pulsed laser and breast cancer based on COMSOL multiphysics

Xianlin Song, Yuli Li, Ao Teng, Bo Li, Qiming He, Jinhong Zhang, Aojie Zhao, Zihao Li, Hao Chen, Jianshuang Wei, Lingfang Song, Cong Liu

Proceedings Volume 11622, 116220N (2021) https://doi.org/10.1117/12.2589051

KEYWORDS: Breast, Breast cancer, Tumors, Tumor growth modeling, Photoacoustic imaging, Mammary gland, Laser tissue interaction, Tissues, Oncology, Cancer

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Proceedings Article | 28 February 2021 Paper

Research on spectrum analysis of photoacoustic signal based on COMSOL platform

Xianlin Song, Shuilong Wang, Xian Li, Ao Teng, Zhouhua Chen, Jianshuang Wei, Aojie Zhao, Bo Li, Zihao Li, Qiming He, Jinhong Zhang, Lingfang Song

Proceedings Volume 11781, 117811O (2021) https://doi.org/10.1117/12.2591387

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The study of the relationship between the spectral characteristics of the photoacoustic signal and the shape and size of the absorber has important practical significance for image reconstruction. Using the commercial finite element simulation software COMSOL Multiphysics, a two-dimensional simulation model based on finite element was designed, which studied the relationship between the spectral characteristics of the photoacoustic signal and the shape and size of the absorber. In this study, the model consists of three parts: 1) water layer; 2) short pulse laser source (wavelength of 840nm); 3) gastric tumor tissue. The laser point source is located in the middle of the upper water layer. Simulate the propagation of light in the water layer by solving the diffusion equation. The temperature changes in biological tissues are obtained by solving the biothermal equation. When the absorber is irradiated by Gaussian pulses, due to the extremely short time, the absorber can be regarded as adiabatic expansion after absorbing energy, thereby generating ultrasonic waves. Using the finite element analysis method, the complex situation of photoacoustic imaging is transformed into the coupling of multiple physical fields and the numerical calculation of partial differential equations to obtain the photoacoustic signal. Fitting the simulation results shows that the spectral characteristics of the photoacoustic signal change regularly with the size of the absorber. The size of the absorber obtained in this paper has a power function relationship with the spectral intercept. The larger the size, the larger the spectral intercept, and the growth rate increases with the increase of the size. The size of the absorber and the spectral slope also have a power function relationship. The slope of the large spectrum is smaller, and the rate of change of the slope decreases as the size increases. At the same time, analyzing the photoacoustic spectrum of absorbers of different shapes also shows that absorbers of different shapes have their own characteristics. This research is helpful to understand the relationship between spectral characteristics and the shape and size of the absorber, and has certain theoretical guiding significance for image reconstruction.

Proceedings Article | 28 February 2021 Paper

Construction of breast cancer photoacoustic imaging model based on COMSOL

Xianlin Song, Yuli Li, Ao Teng, Zhipeng Zhang, Qiming He, Jinhong Zhang, Aojie Zhao, Bo Li, Zihao Li, Jianshuang Wei, Lingfang Song

Proceedings Volume 11781, 117810P (2021) https://doi.org/10.1117/12.2591388

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Proceedings Article | 8 November 2020 Poster + Paper

Denoising method for photoacoustic microscopy using deep learning

Kanggao Tang, Bo Li, Jinhong Zhang, Jianshuang Wei, Lingfang Song, Xianlin Song

Proceedings Volume 11525, 115252P (2020) https://doi.org/10.1117/12.2584879

KEYWORDS: Denoising, Signal to noise ratio, Photoacoustic microscopy, Image quality, Image processing, Photoacoustic imaging, Convolutional neural networks, Photoacoustic spectroscopy, Image segmentation, Tumors

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Showing 5 of 17 publications

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