Nuclear Science and Techniques

《核技术》(英文版) ISSN 1001-8042 CN 31-1559/TL     2019 Impact factor 1.556

Nuclear Science and Techniques ›› 2014, Vol. 25 ›› Issue (2): 020503 doi: 10.13538/j.1001-8042/nst.25.020503

• NUCLEAR PHYSICS AND INTERDISCIPLINARY RESEARCH • Previous Articles     Next Articles

A hybrid voxel sampling method for constructing Rad-HUMAN phantom

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

  1. 1Institute of Nuclear Energy Safety Technology, Chinese Academy of Sciences, Hefei 230031, China
    2Institute of Public Computer, Hefei Normal University, Hefei 230601, China
  • Contact: WU Yi-Can E-mail:yican.wu@fds.org.cn
ZHAO Kai, CHENG Meng-Yun, LONG Peng-Cheng, FAN Yan-Chang, WANG Wen, HU Li-Qin, WU Yi-Can. A hybrid voxel sampling method for constructing Rad-HUMAN phantom.Nuclear Science and Techniques, 2014, 25(2): 020503     doi: 10.13538/j.1001-8042/nst.25.020503

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.

Key words: Sampling, Monte Carlo, Voxel, 3D, Rad-HUMAN