2003
DOI: 10.1016/s0360-3016(03)00067-1
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Routine IMRT verification by means of an automated Monte Carlo simulation system

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Cited by 63 publications
(49 citation statements)
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“…On the one hand, an independent verification of the TPS dose calculations should be carried out. One way to fulfill this requirement consists of the application of Monte Carlo calculations for the independent verification of the treatment plan (9) . The main limitation in the application of these techniques is the calculation time.…”
Section: Introductionmentioning
confidence: 99%
“…On the one hand, an independent verification of the TPS dose calculations should be carried out. One way to fulfill this requirement consists of the application of Monte Carlo calculations for the independent verification of the treatment plan (9) . The main limitation in the application of these techniques is the calculation time.…”
Section: Introductionmentioning
confidence: 99%
“…The use of Monte Carlo has been proposed by several authors, 29 , 30 but we avoided that for two reasons: i) we believe the goal of the independent dose calculator is to act as a QA tool looking for major errors instead of determining the accuracy of the commissioned treatment planning system algorithm and beam model; ii) from an efficiency aspect, the time required to compute independent dose calculations with Monte Carlo are prohibitively long.…”
Section: Discussionmentioning
confidence: 99%
“…Ma et al [26] used the particle dependent weighting factor method, applying different weights to each particle according to the integral linear attenuation encountered by a ray passing through the beam modifiers. Leal et al [27] and Seco et al [28] adopted the full MC simulation strategy, simulating the particle tracking through all the components of the unit and implementing the Static Component Simulation (SCS) as described by Shih et al [29] to reproduce a step-and-shoot IMRT delivery. Liu et al [30] firstly described the PositionProbability Sampling (PPS) method, which faces the unit component motion, such as the MLC leaves, from a probabilistic point of view.…”
Section: Introductionmentioning
confidence: 99%