6533b839fe1ef96bd12a5bd1
RESEARCH PRODUCT
Comparison between transmission and scattering spectrum reconstruction methods based on EPID images.
A. JambrinaA. SantosJ. M. CampayoSergio DiezR. MiroB. JusteGumersindo Verdúsubject
PhysicsPhotonsSiliconPhotonScatteringbusiness.industryMonte Carlo methodMonte Carlo method for photon transportRadiationSystem of linear equationsLinear particle acceleratorOpticsRobustness (computer science)Image Processing Computer-AssistedScattering RadiationRadiotherapy Intensity-ModulatedParticle AcceleratorsbusinessMonte Carlo MethodAlgorithmsdescription
Numerous improved physics-based methods for Linac photon spectra reconstruction have been published; some of them are based on transmission data analysis and others on scattering data. In this work, the two spectrum unfolding approaches are compared in order to experimentally validate its robustness and to determine which is the optimal methodology for application on a clinical quality assurance routine. Both studied methods are based on EPID images generated when the incident photon beam impinges onto plastic blocks. The distribution of transmitted/scatter radiation produced by this object centered at the beam field size was measured. Measurements were performed using a 6 MeV photon beam produced by the linear accelerator. The same radiation distribution conditions were also simulated with Monte Carlo code for a series of monoenergetic identical geometry photon beams for both cases. Two systems of linear equations were generated to combine the polyenergetic EPID measurements with the monoenergetic simulation results. Regularization techniques were applied to solve the systems for obtaining the incident photon spectrum. We present a comparison between the well-known photon Spectral Reconstruction based on Transmission Data (Trans-based) technology and the Spectral Reconstruction based on Scattering Data (Scatt-based), which we both developed using EPID images. It is shown that Trans-based reconstruction results display much better agreement with photon spectrum theoretical predictions.
year | journal | country | edition | language |
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2013-07-01 | Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference |