Mr. Rui Wang Profile

Rui Wang

at Nanchang Univ

SPIE Involvement:

Author

Publications (10)

Proceedings Article | 18 July 2023 Paper

Enhancement of the depth of field of photoacoustic microscopy based on deep learning

Gang Hu, Yanan Hu, Rui Wang, Xiaohai Yu, Xianlin Song

Proceedings Volume 12745, 127450E (2023) https://doi.org/10.1117/12.2683129

KEYWORDS: Education and training, Depth of field, Photoacoustic microscopy, Data modeling, Deep learning, Performance modeling, Photoacoustic imaging, Photoacoustic spectroscopy, Network architectures, Image resolution

Read Abstract +

Proceedings Article | 27 May 2022 Poster + Presentation + Paper

Improvement of spatial resolution of photoacoustic microscopy based on physical model and deep learning

Xianlin Song, Xiaohai Yu, Rui Wang, Ganyu Chen, Gang Hu, Zhongyi Wu

Proceedings Volume 12102, 121020N (2022) https://doi.org/10.1117/12.2636267

KEYWORDS: Photoacoustic microscopy, Convolution, Data modeling, Image resolution, Spatial resolution, Image processing, Photoacoustic imaging, Image segmentation

Read Abstract +

Proceedings Article | 12 September 2021 Paper

Determination of tumor characteristics using light transport based on Monte Carlo simulation

Zhipeng Zhang, Rui Wang, Xianlin Song

Proceedings Volume 11874, 118740L (2021) https://doi.org/10.1117/12.2596687

KEYWORDS: Tumors, Tissues, Absorption, Tissue optics, Monte Carlo methods, Photon transport, Scattering, Computer simulations, Water, Stomach

Read Abstract +

As a kind of carcinoma with extremely high mortality and morbidity, there are immense demand for early detection and diagnosis of gastric carcinoma. At present, in medical research, the initial detection of gastric tumors mainly uses the laser detection methods. The Monte Carlo method has good adaptability for exploring the process of photon transportation, therefore, it has the value of extension and application in the research of photons’ transportation in biological tissues. Through exploring the influence of the tumor in gastric tissue on the photon transmission, it can help determine the existence of gastric tumor. After established the corresponding model, we using the program to perform the fitting process, analysising the result then we can draw a conclusion that: according to the trajectory analysis of photons, gastric tumors absorb more photons than the gastric tissues, and such basic features can be used to determine the existence of gastric tumors. Through the analysis of optical absorption density and fluence rate: when photons initially enter the first gastric tissue layer(the Z-axis 0-0.2cm region), because the water layer’s weak optical absorption and scattering effects, optical absorption decreases slowly: from 0.0805cm-1 drop to 0.073cm-1. After entering the second layer, the layer of gastric tissue, because the absorption and scattering effect of gastric tissue is higher than water, the optical absorption density rises sharply to 8.7028cm-1, then with the photon weight vdecreasing, the optical absorption density continues to drop to 0.7128cm-1. After entering the third layer, the layer of gastric tumor, the optical absorption density rises again. When z=0.5cm, the optical absorption density approaches to 1.8848cm-1 and then slowly drops to 0.1338cm-1. Finally, photons enter the second layer of gastric tissue and water layers, and continue to decrease to approach 0cm-1. These data demonstrate that there are effects of gastric tumor on photon transport in gastric tissues. This research will also provide reference and theoretical guidance for the optical imaging and diagnosis of gastric tumors.

Proceedings Article | 7 September 2021 Poster + Paper

Recognition of gastric tumor using photon tracing based on Monte Carlo method

Zhipeng Zhang, Rui Wang, Xianlin Song

Proceedings Volume 11815, 118150M (2021) https://doi.org/10.1117/12.2592080

KEYWORDS: Tumors, Tissues, Absorption, Tissue optics, Monte Carlo methods, Photon transport, Scattering, Computer simulations, Water, Stomach

Read Abstract +

As a kind of carcinoma with extremely high mortality and morbidity, there are immense demand for early detection and diagnosis of gastric carcinoma. At present, in medical research, the initial detection of gastric tumors mainly uses the laser detection methods. The Monte Carlo method has good adaptability for exploring the process of photon transportation, therefore, it has the value of extension and application in the research of photons’ transportation in biological tissues. Through exploring the influence of the tumor in gastric tissue on the photon transmission, it can help determine the existence of gastric tumor. After established the corresponding model, we using the program to perform the fitting process, analysising the result then we can draw a conclusion that: according to the trajectory analysis of photons, gastric tumors absorb more photons than the gastric tissues, and such basic features can be used to determine the existence of gastric tumors. Through the analysis of optical absorption density and fluence rate: when photons initially enter the first gastric tissue layer(the Z-axis 0-0.2cm region), because the water layer’s weak optical absorption and scattering effects, optical absorption decreases slowly: from 0.0805cm^-1 drop to 0.073cm^-1. After entering the second layer, the layer of gastric tissue, because the absorption and scattering effect of gastric tissue is higher than water, the optical absorption density rises sharply to 8.7028cm^-1, then with the photon weight decreasing, the optical absorption density continues to drop to 0.7128cm^-1. After entering the third layer, the layer of gastric tumor, the optical absorption density rises again. When z=0.5cm, the optical absorption density approaches to 1.8848cm-1 and then slowly drops to 0.1338cm^-1. Finally, photons enter the second layer of gastric tissue and water layers, and continue to decrease to approach 0cm^-1. These data demonstrate that there are effects of gastric tumor on photon transport in gastric tissues. This research will also provide reference and theoretical guidance for the optical imaging and diagnosis of gastric tumors.

Proceedings Article | 16 July 2021 Poster + Paper

Research on photoacoustic effect of picosecond laser pulse with tissue based on finite element method

Jiahao Zeng, Rui Wang, Ao Teng, Xianlin Song

Proceedings Volume 11844, 1184416 (2021) https://doi.org/10.1117/12.2601380

KEYWORDS: Picosecond phenomena, Tissue optics, Photoacoustic imaging, Laser tissue interaction, Photoacoustic spectroscopy, Tissues, Temperature metrology, Pulsed laser operation, Light sources, Finite element methods

Read Abstract +

Proceedings Article | 18 April 2021 Presentation + Paper

Visualization of light transmission in the brain using photon tracking based on the Monte Carlo method

Rui Wang, Xiaohai Yu, Xianlin Song

Proceedings Volume 11771, 117710K (2021) https://doi.org/10.1117/12.2592125

KEYWORDS: Absorption, Brain, Skull, Photon transport, Scattering, Monte Carlo methods, Visualization, Optical tracking, Neuroimaging, Light scattering

Read Abstract +

The brain is composed of the cerebrum, cerebellum, diencephalon and brainstem. The cerebrum is the superlative part of the central nervous system and also the main part of the brain. There are differences and similarities between humans and mouse. The study of mouse brain model is helpful to understand the process in clinical trials and also has reference significance for the study of human brain. Therefore, the study of mouse brain is particularly important. As the skull has a large scattering effect on light, it is difficult for us to image the brain through the skull directly. Therefore, we often use methods such as optical clearing or thin skull to reduce or remove the influence of the skull on imaging. In this paper, the transmission of photons in mouse brain was studied using Monte Carlo method. In the study of photon trajectories, the photon distribution without intact skull went farther in both longitudinal and transverse directions compared with that of with intact skull. In terms of the optical absorption density and fluence rate. On the condition of with intact skull, the distribution of optical absorption density and fluence rate was fusiform and rounder on the whole. The radial distribution range of optical absorption density and fluence rate was 0.25 cm, which was approximately 2.5 times of that of with intact skull. In the depth direction, due to the strong scattering and absorption of the scalp and skull, the optical absorption density dropped sharply from 0.890 cm^-1 to 0.415 cm^-1. When the photons arrived at the gray matter layer, only a few photons were reserved. Due to the strong absorption and scattering effect of the gray matter layer, only a few photons left, the optical absorption density increased from 0.415 cm^-1 to 0.592 cm^-1, and then decreased again. When the depth was 1.35 cm, the optical absorption density dropped to 0 cm^-1. After removing the skull, due to the weak absorption and scattering effect of normal saline and cerebrospinal fluid, the optical absorption density was low (0.119 cm^-1) and dropped slowly. When the photons arrived at the gray matter layer, most of the photons were reserved. Due to the strong absorption and scattering effect of the gray matter layer, the optical absorption density increased from 0.117 cm^-1 to 0.812 cm^-1, then the optical absorption density decreased to 0 cm^-1 at a depth of 1.35 cm. The distribution of radiant fluence rate is similar to that of optical absorption density. This study will provide reference and theoretical guidance for the optical imaging of mouse brain and the study of the mouse and human brain.

Proceedings Article | 5 March 2021 Poster + Presentation + Paper

Numerical study of the interaction of photons with mouse brain based on Monte Carlo method

Xiaohai Yu, Rui Wang, Jianshuang Wei, Lingfang Song, Xianlin Song

Proceedings Volume 11634, 116340N (2021) https://doi.org/10.1117/12.2582971

KEYWORDS: Brain, Absorption, Skull, Photons, Scattering, Monte Carlo methods, Neuroimaging, Light scattering, Cerebrum, Optical imaging

Read Abstract +

The brain is composed of the cerebrum, cerebellum, diencephalon and brainstem. The cerebrum is the superlative part of the central nervous system and also the main part of the brain. There are differences and similarities between humans and mouse. The study of mouse brain model is helpful to understand the process in clinical trials and also has reference significance for the study of human brain. Therefore, the study of mouse brain is particularly important. As the skull has a large scattering effect on light, it is difficult for us to image the brain through the skull directly. Therefore, we often use methods such as optical clearing or thin skull to reduce or remove the influence of the skull on imaging. In this paper, the transmission of photons in mouse brain was studied using Monte Carlo method. In the study of photon trajectories, the photon distribution without intact skull went farther in both longitudinal and transverse directions compared with that of with intact skull. In terms of the optical absorption density and fluence rate. On the condition of with intact skull, the distribution of optical absorption density and fluence rate was fusiform and rounder on the whole. The radial distribution range of optical absorption density and fluence rate was 0.25 cm, which was approximately 2.5 times of that of with intact skull. In the depth direction, due to the strong scattering and absorption of the scalp and skull, the optical absorption density dropped sharply from 0.890 cm^-1 to 0.415 cm^-1 . When the photons arrived at the gray matter layer, only a few photons were reserved. Due to the strong absorption and scattering effect of the gray matter layer, only a few photons left, the optical absorption density increased from 0.415 cm^-1 to 0.592 cm^-1 , and then decreased again. When the depth was 1.35 cm, the optical absorption density dropped to 0 cm-1 . After removing the skull, due to the weak absorption and scattering effect of normal saline and cerebrospinal fluid, the optical absorption density was low (0.119 cm^-1 ) and dropped slowly. When the photons arrived at the gray matter layer, most of the photons were reserved. Due to the strong absorption and scattering effect of the gray matter layer, the optical absorption density increased from 0.117 cm^-1 to 0.812 cm^-1 , then the optical absorption density decreased to 0 cm^-1at a depth of 1.35 cm. The distribution of radiant fluence rate is similar to that of optical absorption density. This study will provide reference and theoretical guidance for the optical imaging of mouse brain and the study of the mouse and human brain.