Abstract
Monte Carlo (MC) method is a statistical method for simulating photon
propagation in media in the optical molecular imaging field. However, obtaining an
accurate result using the method is quite time-consuming, especially because the
boundary of the media is complex. A voxel classification method is proposed to
reduce the computation cost. All the voxels generated by dividing the media are
classified into three types (outside, boundary, and inside) according to the
position of the voxel. The classified information is used to determine the relative
position of the photon and the intersection between photon path and media boundary
in the MC method. The influencing factors and effectiveness of the proposed method
are analyzed and validated by simulation experiments.
© 2011 Chinese Optics Letters
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