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Comparison of inhomogeneity correction algorithms in small photon fields
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10.1118/1.1861154
/content/aapm/journal/medphys/32/3/10.1118/1.1861154
http://aip.metastore.ingenta.com/content/aapm/journal/medphys/32/3/10.1118/1.1861154

Figures

Image of FIG. 1.
FIG. 1.

Depth dose curves for 0.5 (black), 1.0 (blue), and 3.0 (red) cm diameter field size comparing the Monte Carlo (solid) and measured data (dashed) in a water phantom showing good agreement. The data are scaled to separate the curves.

Image of FIG. 2.
FIG. 2.

Depth dose curves for 0.5 (black), 1.0 (blue), and 3.0 (red) cm diameter field sizes comparing the Monte Carlo (solid), collapsed cone convolution (dashed), Batho (squares), and equivalent pathlength (circles) algorithms as they predict dose in a water phantom with a density between 3 and 6 cm depth.

Image of FIG. 3.
FIG. 3.

Average dose perturbation factor (DPF) for points between 3.3 and 5.7 cm depth as a function of density for 0.5 (black), 1.0 (blue), and 3.0 (red) cm field sizes for Monte Carlo simulation (solid), collapsed cone convolution (dashed), equivalent pathlength (circles), and Batho (squares) algorithms.

Image of FIG. 4.
FIG. 4.

Dose perturbation factor (DPF) as a function of depth of 0.5 (black), 1.0 (blue), and 3.0 (red) cm field sizes for density tissue between 3 and 6 cm depth comparing Monte Carlo simulations (solid) CCC (dashed), Batho (squares), and the equivalent pathlength (circles) algorithms.

Image of FIG. 5.
FIG. 5.

Dose profiles at a depth of 5.5 cm for a homogeneous phantom (solid) and in the center of the heterogeneity (dashed) normalized as a percentage of central axis dose for the Monte Carlo simulations and the collapsed cone convolution algorithm. Both show a broadening of the beam profile due to the escape of secondary electrons from the central part of the beam. This shows that the collapsed cone convolution algorithm can model electron transport.

Image of FIG. 6.
FIG. 6.

Dose corrections factor (DCF) for the collapsed cone convolution algorithm in lung tissue of density 0.15 (circles), 0.26 (dashed), and 0.40 (solid) located between 3 and 6 cm depth for 0.5 (black), 1.0 (blue), and 3.0 (red) cm field sizes.

Image of FIG. 7.
FIG. 7.

Dose corrections factor (DCF) for the equivalent pathlength algorithm in lung tissue of density 0.15 (circles), 0.26 (dashed), and 0.40 (solid) located between 3 and 6 cm depth for 0.5 (black), 1.0 (blue), and 3.0 (red) cm field sizes.

Image of FIG. 8.
FIG. 8.

Dose corrections factor (DCF) for the Batho algorithm in lung tissue of density 0.15 (circles), 0.26 (dashed), and 0.40 (solid) located between 3 and 6 cm depth for 0.5 (black), 1.0 (blue), and 3.0 (red) cm field sizes.

Tables

Generic image for table
TABLE I.

Average absolute and relative percent difference and maximum absolute difference between dose points in a homogeneous phantom between 1.5 and 8.8 cm depth using Monte Carlo simulation compared to the equivalent pathlength (EPL), Batho, and collapsed cone convolution (CCC) algorithms.

Generic image for table
TABLE II.

Average dose correction factor (DCF) between 2.7 and 7.5 cm depth for the corrected and raw data collapsed cone convolution algorithm.

Generic image for table
TABLE III.

Dose corrections factors (DCF’s) for corrected vs raw collapsed cone convolution algorithm in various regions in a phantom containing lung tissue embedded between 3 and 6 cm in a homogeneous water phantom.

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/content/aapm/journal/medphys/32/3/10.1118/1.1861154
2005-02-28
2014-04-23
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752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: Comparison of inhomogeneity correction algorithms in small photon fields
http://aip.metastore.ingenta.com/content/aapm/journal/medphys/32/3/10.1118/1.1861154
10.1118/1.1861154
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