DocumentCode :
1740627
Title :
A two step algorithm for predicting portal dose images in arbitrary detectors
Author :
McCurdy, B.M.C. ; Pistorius, S.
Author_Institution :
CancerCare, Winnipeg, Man., Canada
Volume :
2
fYear :
2000
fDate :
2000
Firstpage :
1062
Abstract :
An algorithm has been presented which accurately predicts portal dose images for arbitrary detectors and air gaps. Implementation involves first predicting the primary and scattered photon fluence into a detector, then predicting the dose response of the detector. The algorithm utilizes pre-calculated libraries of scatter fluence kernels and dose deposition kernels, which are obtained through Monte Carlo radiation transport techniques. The algorithm is fast, allows a separation of primary and scatter, and can model arbitrary detector materials. The accuracy of the algorithm was investigated for a 6 MV beam over air gaps of 10-80 cm for a PMMA slab phantom, a PMMA slab with a cork inhomogeneity, and an anthropomorphic phantom. Two different detector configurations were used, involving low and high atomic number buildup material. In most cases (>95%), the difference between predicted and measured doses is within 3%, and penumbra´s are within 4 mm. This level of accuracy is within the guidelines set out for treatment planning dose calculation algorithms. It is concluded that this approach represents a fast, accurate, and flexible solution to portal dose image prediction
Keywords :
Monte Carlo methods; dosimetry; medical computing; photon transport theory; physiological models; radiation therapy; 6 MV; Monte Carlo radiation transport; PMMA slab phantom; anthropomorphic phantom; arbitrary air gaps; arbitrary detectors; dose deposition kernels; dose response; high atomic number buildup material; low atomic number buildup material; portal dose images prediction; primary photon fluence; radiotherapy treatment planning; scatter fluence kernels; scattered photon fluence; two step algorithm; Air gaps; Detectors; Electromagnetic scattering; Imaging phantoms; Kernel; Libraries; Particle scattering; Portals; Prediction algorithms; Slabs;
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.2000.897910
Filename :
897910
Link To Document :
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