Generalized EPID calibration for in vivo transit dosimetry

Fidanzio, A.; Cilla, Savino; Greco, Francesca; Gargiulo, Laura; Azario, L.; Sabatino, Domenico; Piermattei, Angelo

doi:10.1016/j.ejmp.2010.02.002

Cited by 28 publications

(24 citation statements)

References 20 publications

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“…In this context, the strength of our method is twofold. First of all, our method adopts a generalized algorithm that can be easily implemented with a minimal workload for all Varian, Elekta and Siemens linacs and related EPIDs, with a few commissioning measurements time reduced to less than 30 minutes per linac [14,16]. Secondly, the software is interfaced with the Record&Verify system of the radiotherapy unit, allowing a direct and fast access to EPID images and treatment planning network.…”

Section: Discussionmentioning

confidence: 99%

“…In recent years, the authors developed a generalized procedure for the isocenter dose reconstruction of 3D-CRT treatments (Diso), based on the correlation functions between EPID transit signals and the doses at phantom mid-plane [11][12][13][14][15]. This research led to the foundation of an Italian national project financed by the Istituto Nazionale di Fisica Nucleare (INFN) and the Diso software was extensively applied in clinical routine in several Italian centers.…”

Section: Introductionmentioning

confidence: 99%

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Initial clinical experience with Epid-based in-vivo dosimetry for VMAT treatments of head-and-neck tumors

et al. 2016

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Initial clinical experience with Epid-based in-vivo dosimetry for VMAT treatments of head-and-neck tumors

et al. 2016

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“…Researchers from Universita Cattolica del Sacro Cuore, Rome, Italy, proposed a generic measurement-based model but the method was only for single point comparisons, which may not be suitable for IMRT verifications [36][37][38][39][40]. Although the model was later extended by Peca and Brown 41 to perform 2D verification, it was only tested for 3D conformal fields.…”

mentioning

confidence: 98%

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

Tan

Metwaly

Glegg

et al. 2015

BJR

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“…These effects are generally quantified in terms of the measured signal after the end of irradiation [2] [5] [7]- [9] [17] [18] [27]. S R is meaningful with equilibrium indices more than unity.…”

Section: The Residual Signalmentioning

confidence: 99%

“…Nevertheless, many recent publications [9] [13] discuss the use of EPID as in vivo dosimeters giving an impression of a well-established EPID characterization and calibration. In many of these publications, the manufacturer definition of the integrated image has been used to represent the EPID signal.…”

mentioning

confidence: 99%

Dosimetric Performance of A-Si Electronic Portal Imaging Devices

Alshanqity¹,

Nisbet²

2016

IJMPCERO

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The majority of EPID dosimetry literature discusses response linearity and the so-called image lag and ghosting effects despite the lack of a common definition of these quantities. However, the results of these studies are generally not consistent, and it is often difficult to compare the results from different studies. We present here a detailed study of the acquisition and readout characteristics of a-Si EPID and its dosimetric performance. EPID response was assessed over the range of 1 -500 MU using different dose rates and integration times. In addition, a computer model was designed to simulate the EPID image formation with different dose, dose rate, and integration time combinations. All aspects of image processing and readout simulation were carried out using custom written MatLab codes. Two distinct signal profiles were observed depending on the delivered dose, dose rate and integration time combination. Total integrated signal (ST) is linear with the delivered dose. For dosimetry, image lag and ghosting effects mainly result in the residual signal (S R ) that appears as delayed signal after the end of irradiation. At its maximum, S R is less than 2.5% of S T . The readout technique is such that it is impossible to measure S R accurately. S R is definable only when readout equilibrium occurs. Signal profiles provide a through and reliable description of the EPID response incorporating the dose, dose rate, integration time, and the residual signal. The definition of EPID signals based on this method shall provide an accurate universal EPID dosimetry framework.

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Generalized EPID calibration for in vivo transit dosimetry

Cited by 28 publications

References 20 publications

Initial clinical experience with Epid-based in-vivo dosimetry for VMAT treatments of head-and-neck tumors

Initial clinical experience with Epid-based in-vivo dosimetry for VMAT treatments of head-and-neck tumors

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

Dosimetric Performance of A-Si Electronic Portal Imaging Devices

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