Evaluation of the gamma dose distribution comparison method

The γ tool was developed to quantitatively compare dose distributions, either measured or calculated. Before computing γ, the dose and distance scales of the two distributions, referred to as evaluated and reference, are renormalized by dose and distance criteria, respectively. The renormalization a...

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Bibliographic Details
Published in:Medical physics (Lancaster) Vol. 30; no. 9; pp. 2455 - 2464
Main Authors: Low, Daniel A., Dempsey, James F.
Format: Journal Article
Language:English
Published: United States American Association of Physicists in Medicine 01.09.2003
Subjects:
algorithm theory
Algorithms
dose distribution comparison
dosimetry
Dosimetry/exposure assessment
Gamma Rays
gamma tool
Humans
intensity modulated radiation therapy
intensity modulation
Interpolation
Physicists
Quality Control
radiation therapy
Radiography
Radiometry - methods
Radiotherapy Dosage
Radiotherapy Planning, Computer-Assisted - methods
Radiotherapy, Conformal - methods
random noise
Renormalization
Reproducibility of Results
Sensitivity and Specificity
Software
Stochastic Processes
Wedges and compensators
gamma tool
dose distribution comparison
radiation therapy
intensity modulated radiation therapy
ISSN:0094-2405, 2473-4209
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Summary:The γ tool was developed to quantitatively compare dose distributions, either measured or calculated. Before computing γ, the dose and distance scales of the two distributions, referred to as evaluated and reference, are renormalized by dose and distance criteria, respectively. The renormalization allows the dose distribution comparison to be conducted simultaneously along dose and distance axes. The γ quantity, calculated independently for each reference point, is the minimum distance in the renormalized multidimensional space between the evaluated distribution and the reference point. The γ quantity degenerates to the dose-difference and distance-to-agreement tests in shallow and very steep dose gradient regions, respectively. Since being introduced, the γ quantity has been used by investigators to evaluate dose calculation algorithms, and compare dosimetry measurements. This manuscript examines the γ distribution behavior in two dimensions and evaluates the γ distribution in the presence of data noise. Noise in the evaluated distribution causes the γ distribution to be underestimated relative to the no-noise condition. Noise in the reference distribution adds noise in the γ distribution in proportion to the normalized dose noise. In typical clinical use, the fraction of points that exceed 3% and 3 mm can be extensive, so we typically use 5% and 2–3 mm in clinical evaluations. For clinical cases, the calculation time is typically 5 minutes for a 1×1  mm 2 interpolated resolution on an 800 MHz Pentium 4 for a 14.1×15.2  cm 2 radiographic film.
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ISSN:0094-2405
2473-4209
DOI:10.1118/1.1598711