DocumentCode :
1740714
Title :
Direct Monte Carlo calculation of absorbed dose in a moving and deforming object
Author :
Keller, H. ; Olivera, G. ; Mackie, T. Rock
Author_Institution :
Dept. of Med. Phys., Wisconsin Univ., Madison, WI, USA
Volume :
2
fYear :
2000
fDate :
2000
Firstpage :
1501
Abstract :
The knowledge of accumulated dose in a specified tissue on a functional subunit´s basis is of crucial importance for the application of biological models to estimate control and complication probabilities. It is known that geometrical uncertainties of the patient´s anatomy lead to differences between the planned and delivered dose distributions. In this work, the absorbed dose in a moving and deforming object is calculated by means of a direct Monte Carlo calculation. The Monte Carlo code EGS4/BEAM was modified to incorporate temporal dynamics of the simulation geometry. Lateral one-dimensional dose distributions were studied in a moving and deforming water slab adjacent to an air interface. A linear motion and a simple deformation of the water volume were investigated. The position of the boundary of the water volume was changing as a function of particle history. The Monte Carlo code is able to directly calculate the dose in the local coordinates of the moving object. The results show that a convolution algorithm to determine the resulting dose distribution is not sufficient for highly inhomogeneous situations and if internal deformations are present
Keywords :
Monte Carlo methods; convolution; dosimetry; medical computing; physiological models; radiation therapy; EGS4/BEAM code; absorbed dose; accumulated dose; air interface; biological models; convolution algorithm; direct Monte Carlo calculation; geometrical uncertainties; highly inhomogeneous situations; internal deformations; lateral one-dimensional dose distributions; local coordinates; moving deforming object; simulation geometry; temporal dynamics; treatment planning; water slab; Anatomy; Biological control systems; Biological information theory; Biological system modeling; Biological tissues; Geometry; Monte Carlo methods; Slabs; Solid modeling; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
ISSN :
1094-687X
Print_ISBN :
0-7803-6465-1
Type :
conf
DOI :
10.1109/IEMBS.2000.898027
Filename :
898027
Link To Document :
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