A hybrid voxel sampling method for constructing Rad-HUMAN phantom

  • Kai Zhao
  • , Meng Yun Cheng
  • , Peng Cheng Long
  • , Yan Chang Fan
  • , Wen Wang
  • , Li Qin Hu
  • , Yi Can Wu

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

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.

Original languageEnglish
Article number020503
JournalNuclear Science and Techniques
Volume25
Issue number2
DOIs
StatePublished - 20 Apr 2014

Keywords

  • 3D
  • Monte Carlo
  • Rad-HUMAN
  • Sampling
  • Voxel

Fingerprint

Dive into the research topics of 'A hybrid voxel sampling method for constructing Rad-HUMAN phantom'. Together they form a unique fingerprint.

Cite this