Literature DB >> 17278804

Monte Carlo modelling of a-Si EPID response: the effect of spectral variations with field size and position.

Laure Parent1, Joao Seco, Phil M Evans, Andrew Fielding, David R Dance.   

Abstract

This study focused on predicting the electronic portal imaging device (EPID) image of intensity modulated radiation treatment (IMRT) fields in the absence of attenuation material in the beam with Monte Carlo methods. As IMRT treatments consist of a series of segments of various sizes that are not always delivered on the central axis, large spectral variations may be observed between the segments. The effect of these spectral variations on the EPID response was studied with fields of various sizes and off-axis positions. A detailed description of the EPID was implemented in a Monte Carlo model. The EPID model was validated by comparing the EPID output factors for field sizes between 1 x 1 and 26 x 26 cm2 at the isocenter. The Monte Carlo simulations agreed with the measurements to within 1.5%. The Monte Carlo model succeeded in predicting the EPID response at the center of the fields of various sizes and offsets to within 1% of the measurements. Large variations (up to 29%) of the EPID response were observed between the various offsets. The EPID response increased with field size and with field offset for most cases. The Monte Carlo model was then used to predict the image of a simple test IMRT field delivered on the beam axis and with an offset. A variation of EPID response up to 28% was found between the on- and off-axis delivery. Finally, two clinical IMRT fields were simulated and compared to the measurements. For all IMRT fields, simulations and measurements agreed within 3%-0.2 cm for 98% of the pixels. The spectral variations were quantified by extracting from the spectra at the center of the fields the total photon yield (Ytotal), the photon yield below 1 MeV (Ylow), and the percentage of photons below 1 MeV (Plow). For the studied cases, a correlation was shown between the EPID response variation and Ytotal, Ylow, and Plow.

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Year:  2006        PMID: 17278804     DOI: 10.1118/1.2369465

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  9 in total

1.  Monte Carlo-based adaptive EPID dose kernel accounting for different field size responses of imagers.

Authors:  Song Wang; Joseph K Gardner; John J Gordon; Weidong Li; Luke Clews; Peter B Greer; Jeffrey V Siebers
Journal:  Med Phys       Date:  2009-08       Impact factor: 4.071

2.  A dual two dimensional electronic portal imaging device transit dosimetry model based on an empirical quadratic formalism.

Authors:  Y I Tan; M Metwaly; M Glegg; S P Baggarley; A Elliott
Journal:  Br J Radiol       Date:  2015-05-13       Impact factor: 3.039

3.  An empirical calibration method for an a-Si portal imaging device: applications in pretreatment verification of IMRT.

Authors:  L Conte; C Mordacchini; L Pozzi; C Vite
Journal:  Radiol Med       Date:  2012-03-19       Impact factor: 3.469

Review 4.  Monte Carlo methods for device simulations in radiation therapy.

Authors:  Hyojun Park; Harald Paganetti; Jan Schuemann; Xun Jia; Chul Hee Min
Journal:  Phys Med Biol       Date:  2021-09-14       Impact factor: 4.174

5.  Intensity-modulated radiation therapy dose verification using fluence and portal imaging device.

Authors:  Iori Sumida; Hajime Yamaguchi; Indra J Das; Hisao Kizaki; Keiko Aboshi; Mari Tsujii; Yuji Yamada; Osamu Suzuki; Yuji Seo; Fumiaki Isohashi; Kazuhiko Ogawa
Journal:  J Appl Clin Med Phys       Date:  2016-01-08       Impact factor: 2.102

6.  Normalize the response of EPID in pursuit of linear accelerator dosimetry standardization.

Authors:  Bin Cai; S Murty Goddu; Sridhar Yaddanapudi; Douglas Caruthers; Jie Wen; Camille Noel; Sasa Mutic; Baozhou Sun
Journal:  J Appl Clin Med Phys       Date:  2017-11-10       Impact factor: 2.102

7.  Optimized Varian aSi portal dosimetry: development of datasets for collective use.

Authors:  Ann Van Esch; Dominique P Huyskens; Lukas Hirschi; Christof Baltes
Journal:  J Appl Clin Med Phys       Date:  2013-11-04       Impact factor: 2.102

8.  Simple Electronic Portal Imager-Based Pretreatment Quality Assurance using Acuros XB: A Feasibility Study.

Authors:  Arjunan Manikandan; Sureka Chandra Sekaran; Biplab Sarkar; Sujatha Manikandan
Journal:  J Med Phys       Date:  2019-12-11

9.  Calibration of a detector array through beam profile reconstruction with error-locking.

Authors:  Song Wang; Zhiqiu Li; K S Clifford Chao; Jenghwa Chang
Journal:  J Appl Clin Med Phys       Date:  2014-11-08       Impact factor: 2.102

  9 in total

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