A Three-Dimensional Geometric Monte Carlo Method for Simulation of Light Propagation in Biological Tissues

Yong, 张永 Zhang; Bin, 陈斌 Chen; Dong, 李东 Li

doi:10.3788/cjl201542.0104003

Cited by 3 publications

(1 citation statement)

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“…However, traditional medical imaging techniques are either ineffective in diagnosing small lesions in the early stages of tumours or can be harmful to the patient's body. With the continuous development of science and technology, the emergence of photoacoustic imaging technology has shown great hope and research prospects in the non-destructive diagnosis of early tumour tissue [3] .The photon transport theory based on light particles is the most widely used, and the radiative transfer equation (RTE) accurately describes the propagation of light in biological tissues [4] ，The Monte Carlo (MC) method provides an accurate solution for light propagation in weakly absorbing and highly scattering media [5] .The diffusion approximation (DA) is a typical way of using the RTE as a model for forward photon propagation [6] .DA is widely used due to its fast calculation speed and high accuracy. There are currently many finite element software, and the large general purpose finite element analysis software ANSYS is able to analyse non-linear problems very well and is mainly used in the mechanical and nuclear industries [7] ，DA is widely used due to its fast calculation speed and high accuracy.…”

Section: Introductionmentioning

confidence: 99%

Photoacoustic-photothermal visualisation of gastric tissues based on COMSOL

Xuke,

Wang,

et al. 2023

Sixteenth International Conference on Photonics and Imaging in Biology and Medicine (PIBM 2023)

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Photoacoustic Imaging (PAI) is a non-invasive imaging technology. It breaks through the limitation of shallow imaging depth of traditional optical imaging and low imaging contrast of acoustic imaging. It has a potential wide application in early cancer detection. PAI combined with endoscopy has great significance in the early diagnosis of gastric tumors. However, imaging just obtains the local location information. It cannot obtain the information of any location visually, especially in the process of photothermal therapy. In this paper, COMSOL was employed to simulate the visual model of photoacoustic photothermal imaging of gastric tissue and tumor. The physical processes of photoacoustic imaging such as photothermal strain-ultrasound generated by pulsed laser in stomach were simulated. A complete photoacoustic model was established through the coupling of each physical field. Firstly, a simplified gastric tissue model was constructed, and physical parameters were set for grid division. Then several physical field modules in COMSOL were coupled. The light distribution, temperature change and photoacoustic signal generated by thermal expansion during the propagation of light in biological tissues were obtained by simulation. The simulation results showed that the distribution of light in gastric tumor was significantly lower than that around the stomach. The tumor absorbs more light energy, resulting in a significantly higher temperature than surrounding stomach tissue. The photoacoustic signal of thermal expansion caused by laser irradiation of biological tissue was obtained. This study is helpful to understand the propagation and interaction of light in normal tissues and gastric tumors. It also provides a certain reference for the research and application of photoacoustic imaging in gastric cancer.

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Section: Introductionmentioning

confidence: 99%

Photoacoustic-photothermal visualisation of gastric tissues based on COMSOL

Xuke,

Wang,

et al. 2023

Sixteenth International Conference on Photonics and Imaging in Biology and Medicine (PIBM 2023)

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Review of pathological index detection and new rehabilitation technique of drug addicts

Yang

et al. 2020

Brain Science Advances

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There are two major research issues with regard to detoxification; one is pathological testing of drug users and the other is rehabilitation methods and techniques. Over the years, domestic and foreign researchers have done a lot of work on pathological changes in the brain and rehabilitation techniques for drug users. This article discusses the research status of these two aspects. At present, the evaluation of brain function in drug addicts is still dominated by a single electroencephalography (EEG), near-infrared spectroscopy (NIRS), or magnetic resonance imaging scan. The multimodal physiological data acquisition method based on EEG–NIRS technique is relatively advantageous for actual physiological data acquisition. The traditional drug rehabilitation method is based on medication and psychological counseling. In recent years, psychological correction (e.g., emotional ventilation, intelligent physical and mental decompression, virtual reality technique and drug addiction suppression system, sports training, and rehabilitation) and physical therapy (transcranial magnetic stimulation) have gradually spread. These rehabilitations focus on comprehensive treatment from the psychological and physical aspects. In recent years, new intervention ideas such as brain–computer interface technique have been continuously proposed. In this review, we have introduced multimodal brain function detection and rehabilitation intervention, which have theoretical and practical significance in drug rehabilitation research.

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生物组织光子传输蒙特卡罗仿真加速技术研究综述

Xu Louzhe,

Li Ting

2024

Chin. J. Laser

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A Three-Dimensional Geometric Monte Carlo Method for Simulation of Light Propagation in Biological Tissues

Cited by 3 publications

References 0 publications

Photoacoustic-photothermal visualisation of gastric tissues based on COMSOL

Photoacoustic-photothermal visualisation of gastric tissues based on COMSOL

Review of pathological index detection and new rehabilitation technique of drug addicts

生物组织光子传输蒙特卡罗仿真加速技术研究综述

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