Fluorescent Monte-Carlo simulation method based on cluster-type GPU (Graphic Processing Unit) acceleration

A simulation method and Monte Carlo technology, applied in the field of fluorescence Monte Carlo simulation, can solve the problems such as the time-consuming, time-increasing, and complex organization of the simulation.

Active Publication Date: 2015-02-04
HUAZHONG UNIV OF SCI & TECH
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Problems solved by technology

Moreover, as the number of simulated photons increases, the number of simulation sources continues to increase, the organizational structure becomes more and more complex, and the time for computer simulation increases exponentially. The existing codes can no longer meet the time-consuming requirements for simulation.

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  • Fluorescent Monte-Carlo simulation method based on cluster-type GPU (Graphic Processing Unit) acceleration
  • Fluorescent Monte-Carlo simulation method based on cluster-type GPU (Graphic Processing Unit) acceleration
  • Fluorescent Monte-Carlo simulation method based on cluster-type GPU (Graphic Processing Unit) acceleration

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[0028] The present invention will be further described in conjunction with the accompanying drawings.

[0029] Such as figure 1 Shown, the implementation steps of the present invention are as follows:

[0030] (1) Describe the spatial structure of the target biological tissue as a three-dimensional digital matrix, namely the tissue model. The elements in the matrix correspond to the voxels of the target biological tissue, and the value of each voxel is a number identifying the type of tissue; the smaller the voxel, the closer the tissue model describing the tissue structure is to the real biological tissue structure, and the accuracy of the simulated photon transmission characteristics the higher

[0031] (2) Set various tissue characteristic parameters of the target biological tissue. The tissue optical characteristic parameters are the absorption coefficient of excitation light, the scattering coefficient of excitation light, the absorption coefficient of fluorescence, the...

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Abstract

The invention relates to a fluorescent Monte-Carlo simulation method based on cluster-type GPU (Graphic Processing Unit) acceleration. The method can be used for simultaneously simulating a plurality of sources, the transmission time of simulation photons in biological tissues is greatly saved, the absorption effect of fluorogen in the tissues to exciting light is considered, and photon transmission of the exciting light and that of fluorescent light in the biological tissues are respectively traced. The accuracy of the method is high, the light transmission information in real biological tissues can be obtained, the rich information provides a basis for the optimization of an optical imaging system, and accurate guide information is provided for optical diagnosis and optical treatment.

Description

technical field [0001] The invention relates to a fluorescent Monte Carlo simulation method based on cluster GPU acceleration, which belongs to the fields of computer science, mathematical simulation and biomedical engineering. Background technique [0002] In the field of tissue optics, the goal of modeling the light transmission process is to develop an accurate and fast mathematical quantitative method for the photon distribution characteristics in any tissue, which includes two levels of meaning: one is to establish a model as a "golden method" for evaluating other specific application models The second is to develop fast and effective practical models for specific conditions in specific applications of tissue optics. The basic feature of the Monte Carlo method is to simulate random problems, which can effectively solve random problems, and even solve random problems that are difficult to solve by many deterministic methods. The Monte Carlo method is regarded as the gol...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/12
Inventor 骆清铭邓勇罗召洋江旭
Owner HUAZHONG UNIV OF SCI & TECH
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