DocumentCode
3289418
Title
Parallel tally geometry in GEANT4 for medical dose calculation
Author
Aso, T. ; Apostolakis, J. ; Asai, M. ; Cosmo, G. ; Daquino, G. ; Kimura, A. ; Koi, T. ; Sasaki, T. ; Verderi, M.
Author_Institution
Toyama Coll. of Maritime Technol.
Volume
2
fYear
2005
fDate
23-29 Oct. 2005
Firstpage
978
Lastpage
980
Abstract
The use of Monte Carlo calculation is essential in radiation therapy. Monte Carlo simulation is widely used for verifying the dose for nozzle design, quality assurance, and the treatment planning system. GEANT4 simulation toolkit provides many powerful functions suitable for the dose calculation in radiation therapy. In radiation therapy, both a simple homogeneous water phantom and a complex volume extracted from CT data are used for the dose calculation. Therefore, universal access to the particle information regardless to the complexity of the geometries is desirable. We extended functionalities of GEANT4 to allow two independent geometries in one simulation application simultaneously, where one geometry represents real materials and the other represents an artificial geometry for a tally. In this report, we describe the parallel tally geometry in GEANT4 for medical dose calculations. We also report the validation results of this new capability
Keywords
Monte Carlo methods; dosimetry; medical computing; phantoms; radiation therapy; CT data; GEANT4 simulation toolkit; Monte Carlo simulation; homogeneous water phantom; medical dose calculation; nozzle design; parallel tally geometry; quality assurance; radiation therapy; treatment planning system; Biomedical applications of radiation; Data mining; Detectors; Imaging phantoms; Information geometry; Medical simulation; Monte Carlo methods; Quality assurance; Solid modeling; Transportation;
fLanguage
English
Publisher
ieee
Conference_Titel
Nuclear Science Symposium Conference Record, 2005 IEEE
Conference_Location
Fajardo
ISSN
1095-7863
Print_ISBN
0-7803-9221-3
Type
conf
DOI
10.1109/NSSMIC.2005.1596417
Filename
1596417
Link To Document