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Volume 25 Issue 4
Sep.  2013
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The application of impulse response function in Monte Carlo simulation of light distribution in biological tissues

  • Received Date: 2000-07-14
  • Monte Carlo method is the only effective solution in the study of light distribution in biological tissues irradiated by a complex surface source. However,direct Monte Carlo simulation demands large computational capacity because of its low rate of convergence.In this paper,the concept of impulse response function in biological tissues is introduced,thus light distribution in certain depth of the biological tissue can simply be obtained by calculating the convolation of incident source function and the impulse response function. On the basis of computer simulation,a criterion is proposed to evaluate the results of Monte Carlo simulation. By means of the criterion,the influence of impulse response function and dispersed quantity of the light source is analysed comprehensively,which shows that the calculating efficiency is greatly improved by the introduction of impulse response function in Monte Carlo simulation of light distribution in biological tissues.
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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The application of impulse response function in Monte Carlo simulation of light distribution in biological tissues

  • 1. School of Science, Nanjing University of Science & Technology, Nanjing, 210094

Abstract: Monte Carlo method is the only effective solution in the study of light distribution in biological tissues irradiated by a complex surface source. However,direct Monte Carlo simulation demands large computational capacity because of its low rate of convergence.In this paper,the concept of impulse response function in biological tissues is introduced,thus light distribution in certain depth of the biological tissue can simply be obtained by calculating the convolation of incident source function and the impulse response function. On the basis of computer simulation,a criterion is proposed to evaluate the results of Monte Carlo simulation. By means of the criterion,the influence of impulse response function and dispersed quantity of the light source is analysed comprehensively,which shows that the calculating efficiency is greatly improved by the introduction of impulse response function in Monte Carlo simulation of light distribution in biological tissues.

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