A hybrid voxel sampling method for constructing Rad-HUMAN phantom

Meng-Yun CHENG; Peng-Cheng LONG; Yan-Chang FAN; Wen WANG; Li-Qin HU; Yi-Can WU

doi:10.13538/j.1001-8042/nst.25.020503

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A hybrid voxel sampling method for constructing Rad-HUMAN phantom

NUCLEAR PHYSICS AND INTERDISCIPLINARY RESEARCH | Updated：2021-01-20

- A hybrid voxel sampling method for constructing Rad-HUMAN phantom
- Nuclear Science and Techniques Vol. 25, Issue 2, Article number: 020503(2014)
- Affiliations：
  
  1.Institute of Nuclear Energy Safety Technology, Chinese Academy of Sciences, Hefei 230031, China
  2.Institute of Public Computer, Hefei Normal University, Hefei 230601, China
- Author bio：
  
  Corresponding author, yican.wu@fds.org.cn
- Funds：
- DOI：10.13538/j.1001-8042/nst.25.020503
  CLC：
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Meng-Yun CHENG, Peng-Cheng LONG, Yan-Chang FAN, et al. A hybrid voxel sampling method for constructing Rad-HUMAN phantom. [J]. Nuclear Science and Techniques 25(2):020503(2014)
DOI：

Meng-Yun CHENG, Peng-Cheng LONG, Yan-Chang FAN, et al. A hybrid voxel sampling method for constructing Rad-HUMAN phantom. [J]. Nuclear Science and Techniques 25(2):020503(2014) DOI： 10.13538/j.1001-8042/nst.25.020503.

摘要

Abstract

An accurate and fast sampling method was developed on the modeling of a voxel phantom called Rad-HUMAN for radiation protection of MC-based radiation transport and simulation. The segmented organ voxels, which were assigned with three dimensional (3D) coordinates, were simplified through a two-step hybrid sampling algorithm. Firstly, certain voxels were sampled into a coordinate matrix by the nearest neighbor sampling. Secondly, the coordinate matrix was renewed using a weighted sampling. To compare visualization with the sampling, the resultant matrix was used to extract the contour of organs/tissues for constructing polygon-surface phantom. The feasibility and effectiveness of the sampling method was verified through the modeling of large organs (e.g. skeleton system) and application of transformation to MC computational geometries.

关键词

Keywords

SamplingMonte CarloVoxel3DRad-HUMAN

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