Literature DB >> 15895596

Comprehensive Monte Carlo calculation of the point spread function for a commercial a-Si EPID.

C Kirkby1, R Sloboda.   

Abstract

Images produced by commercial amorphous silicon electronic portal imaging devices (a-Si EPIDs) are subject to multiple blurring processes. Implementation of these devices for fluence measurement requires that the blur be removed from the images. A standard deconvolution operation can be performed to accomplish this assuming the blur kernel is spatially invariant and accurately known. This study determines a comprehensive blur kernel for the Varian aS500 EPID. Monte Carlo techniques are used to derive a dose kernel and an optical kernel, which are then combined to yield an overall blur kernel for both 6 and 15 MV photon beams. Experimental measurement of the line spread function (LSF) is used to verify kernel shape. Kernel performance is gauged by comparing EPID image profiles with in-air dose profiles measured using a diamond detector (approximating fluence) both before and after the EPID images have been deconvolved. Quantitative comparisons are performed using the chi metric, an extension of the well-known y metric, using acceptance criteria of 0.0784 cm (1 pixel width) distance-to-agreement (deltad) and 2% of the relative central axis fluence (deltaD). Without incorporating any free parameters, acceptance was increased from 49.0% of pixels in a cross-plane profile for a 6 MV 10 x 10 cm2 open field to 92.0%. For a 10 x 10 cm2 physically wedged field, acceptance increased from 40.3% to 73.9%. The effect of the optical kernel was found to be negligible for these chi acceptance parameters, however for (deltaD= 1%, deltad = 0.0784 cm) we observed an improvement from 66.1% (without) to 78.6% (with) of chi scores <1 (from 20.6% before deconvolution). It is demonstrated that an empirical kernel having a triple exponential form or a semiempirical kernel based on a simplified model of the detector stack can match the performance of the comprehensive kernel.

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Year:  2005        PMID: 15895596     DOI: 10.1118/1.1869072

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


  10 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.  Simple proposal for dosimetry with an Elekta iViewGT™ electronic portal imaging device (EPID) using commercial software modules.

Authors:  Janett Liebich; Jörg Licher; Christian Scherf; Eugen Kara; Nadine Koch; Claus Rödel; Ulla Ramm
Journal:  Strahlenther Onkol       Date:  2011-04-26       Impact factor: 3.621

3.  Comparison of CsI:Tl and Gd2 O2 S:Tb indirect flat panel detector x-ray imaging performance in front- and back-irradiation geometries.

Authors:  Adrian Howansky; Anastasiia Mishchenko; A R Lubinsky; Wei Zhao
Journal:  Med Phys       Date:  2019-09-23       Impact factor: 4.071

4.  An apparatus and method for directly measuring the depth-dependent gain and spatial resolution of turbid scintillators.

Authors:  Adrian Howansky; A R Lubinsky; Katsuhiko Suzuki; S Ghose; Wei Zhao
Journal:  Med Phys       Date:  2018-10-01       Impact factor: 4.071

5.  Rapid Monte Carlo simulation of detector DQE(f).

Authors:  Josh Star-Lack; Mingshan Sun; Andre Meyer; Daniel Morf; Dragos Constantin; Rebecca Fahrig; Eric Abel
Journal:  Med Phys       Date:  2014-03       Impact factor: 4.071

6.  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

7.  A novel multilayer MV imager computational model for component optimization.

Authors:  Marios Myronakis; Josh Star-Lack; Paul Baturin; Joerg Rottmann; Daniel Morf; Adam Wang; Yue-Houng Hu; Daniel Shedlock; Ross I Berbeco
Journal:  Med Phys       Date:  2017-06-28       Impact factor: 4.071

Review 8.  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

9.  A new approach for the pixel map sensitivity (PMS) evaluation of an electronic portal imaging device (EPID).

Authors:  Alberto Boriano; Francesco Lucio; Elisa Calamia; Elvio Russi; Flavio Marchetto
Journal:  J Appl Clin Med Phys       Date:  2013-11-04       Impact factor: 2.102

10.  An empirical model of electronic portal imager response implemented within a commercial treatment planning system for verification of intensity-modulated radiation therapy fields.

Authors:  Rao F H Khan; Orest Z Ostapiak; Joe J Szabo
Journal:  J Appl Clin Med Phys       Date:  2008-11-11       Impact factor: 2.102

  10 in total

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