a table-based random sampling simulation for bioluminescence tomography

Clicks: 154
ID: 217786
2006
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Abstract
As a popular simulation of photon propagation in turbid media, the main problem of Monte Carlo (MC) method is its cumbersome computation. In this work a table-based random sampling simulation (TBRS) is proposed. The key idea of TBRS is to simplify multisteps of scattering to a single-step process, through randomly table querying, thus greatly reducing the computing complexity of the conventional MC algorithm and expediting the computation. The TBRS simulation is a fast algorithm of the conventional MC simulation of photon propagation. It retained the merits of flexibility and accuracy of conventional MC method and adapted well to complex geometric media and various source shapes. Both MC simulations were conducted in a homogeneous medium in our work. Also, we present a reconstructing approach to estimate the position of the fluorescent source based on the trial-and-error theory as a validation of the TBRS algorithm. Good agreement is found between the conventional MC simulation and the TBRS simulation.
Reference Key
zhang2006internationala Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Xiaomeng Zhang;Jing Bai
Journal Chemistry, an Asian journal
Year 2006
DOI
10.1155/IJBI/2006/83820
URL
http://dx.doi.org/10.1155/IJBI/2006/83820
Keywords
medical physics nuclear medicinemedical technology medical radiology

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