2014
DOI: 10.1120/jacmp.v15i4.4690
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Effects of spatial resolution and noise on gamma analysis for IMRT QA

Abstract: We investigated the sensitivity of the gamma index to two factors: the spatial resolution and the noise level in the measured dose distribution. We also examined how the choice of reference distribution and analysis software affect the sensitivity of gamma analysis to these two factors for quality assurance (QA) of intensity‐modulated radiation therapy (IMRT) treatment plans. For ten clinical IMRT plans, the dose delivered to a transverse dose plane was measured with EDR2 radiographic film. To evaluate the eff… Show more

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Cited by 29 publications
(31 citation statements)
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“…This could be because of CT uncertainty and setup error during measurements. As the statistical uncertainty inherent in MC calculations might potentially bias the gamma passing rate of MC as opposed to ADC, the noise level of MC results was controlled to be below 1% of the target dose — much smaller than the gamma criterion — to eliminate this concern.…”
Section: Resultsmentioning
confidence: 99%
“…This could be because of CT uncertainty and setup error during measurements. As the statistical uncertainty inherent in MC calculations might potentially bias the gamma passing rate of MC as opposed to ADC, the noise level of MC results was controlled to be below 1% of the target dose — much smaller than the gamma criterion — to eliminate this concern.…”
Section: Resultsmentioning
confidence: 99%
“…However, as the tolerance levels of the SCED method are determined based on the set noise values partly extracted from the measurement analysis, its ability to detect errors depends on the chosen noise parameters. In addition, many studies 15,16 describe the decreasing sensitivity of the gamma evaluation method with increasing noise. Thus, both error detection methods are run multiple times for all test cases, with random noise parameters ranging from r = 0, 1, 2, 4, and 8%.…”
Section: C Sced Methods Versus Gamma Analysismentioning
confidence: 99%
“…Another way to consolidate information of a treatment plan is to downsample the voxels through discarding voxels by, for instance, naïve random selection or pyramidal method. Despite the adverse impact of downsampling to the plan quality, naïve downsampling approaches have been commonly adopted for fast planning . Nonetheless, it is intuitively evident that the downsampling can lead to reduced resolution and cause a loss of planning accuracy.…”
Section: Introductionmentioning
confidence: 99%
“…Despite the adverse impact of downsampling to the plan quality, na€ ıve downsampling approaches have been commonly adopted for fast planning. [15][16][17][18][19][20] Nonetheless, it is intuitively evident that the downsampling can lead to reduced resolution and cause a loss of planning accuracy. Indeed, according to Matuszak,21 by universally downsampling the voxels, only a noticeable improvement of computational cost can be achieved at the cost of a deteriorated plan quality.…”
Section: Introductionmentioning
confidence: 99%