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Journal Articles

Implementation of tetrahedral-mesh geometry in Monte Carlo radiation transport code PHITS

Furuta, Takuya; Sato, Tatsuhiko; Han, M. C.*; Yeom, Y. S.*; Kim, C. H.*; Brown, J. L.*; Bolch, W. E.*

Physics in Medicine and Biology, 62(12), p.4798 - 4810, 2017/06

 Times Cited Count:6 Percentile:40.64(Engineering, Biomedical)

A new function to treat tetrahedral-mesh geometry, a type of polygon-mesh geometry, was implemented in the Particle and Heavy Ion Transport code Systems (PHITS). Tetrahedral-mesh is suitable to describe complex geometry including curving shapes. In addition, construction of three-dimensional geometry using CAD software becomes possible with file format conversion. We have introduced a function to create decomposition maps of tetrahedral-mesh objects at the initial process so that the computational time for transport process can be reduced. Owing to this function, transport calculation in tetrahedral-mesh geometry can be as fast as that for the geometry in voxel-mesh with the same number of meshes. Due to adaptability of tetrahedrons in size and shape, dosimetrically equivalent objects can be represented by tetrahedrons with much fewer number of meshes compared with the voxels. For dosimetric calculation using computational human phantom, significant acceleration of the computational speed, about 4 times, was confirmed by adopting the tetrahedral mesh instead of the voxel.

Oral presentation

A Computational method for voxel to polygon mesh conversion of anatomic computational human phantoms

Brown, J. L.*; Furuta, Takuya; Bolch, W. E.*

no journal, , 

Computational human phantoms in a voxelized format have been used in radiation dose assessments with Monte Carlo radiation transport codes. Recently, the transport in human computational phantoms represented by polygon mesh structure becomes possible with the several Monte Carlo codes. Individual organs and body circumferences are better represented by mesh-type human phantom than by voxel-based phantoms. Tremendous number of voxel-based phantoms have been developed from CT or MR data, and thus there is a need for conversion of existing models to mesh-type formats to allow this additional benefit. We therefore developed an algorithm which accurately converts computational voxelized human phantoms into a polygon-mesh format by detecting boundaries of individual organs. The converted polygon-mesh phantoms can be visualized using CAD software as well as they can be used for radiation transport calculation in Monte Carlo codes.

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