摘要
An accurate and fast sampling method was developed on the modeling of a voxel phantom called RadHUMAN 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 vcriiied through the modeling of large organs(e.g.skeleton system) and application of transformation to MC computational geometries.
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 diinensional (3D) coordinates, were simplified through a two-step hybrid sam- piing 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 gemnetries.
基金
Supported by National Special Program for ITER(No.2011GB113006)
Strategic Priority Research Program of Chinese Academy of Sciences(No.XDA03040000)
National Natural Science Foundation of China(No.91026004)
the Knowledge Innovation Projects of Chinese Academy of Sciences(No.095CF2R211)
the Key Foundation for Young Talents in College of Anhui Province(No.2013SQRL063ZD)