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International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2163
Issue 09, Volume 4 (September 2017) www.ijirae.com
_________________________________________________________________________________________________
IJIRAE: Impact Factor Value – SJIF: Innospace, Morocco (2016): 3.916 | PIF: 2.469 | Jour Info: 4.085 |
ISRAJIF (2016): 3.715 | Indexcopernicus: (ICV 2015): 47.91
IJIRAE © 2014- 17, All Rights Reserved Page -11
PROFILE DOSE ANALYSIS OF 6MV LINEAR
ACCELERATOR WITH CCD ELECTRONIC PORTAL
IMAGING DEVICE
Arisa Dwi Sakti,Wahyu Setia Budi, Eko Hidayanto
Diponegoro University,Indonesia
arisads@st.fisika.undip.ac.id, wahyu.sb@fisika.undip.ac.id, ekohidayanto@fisika.undip.ac.id
Manuscript History
Number: IJIRAE/RS/Vol.04/Issue09/SPAE10085
DOI: 10.26562/IJIRAE.2017.SPAE10085
Received: 21, August 2017
Final Correction: 30, August 2017
Final Accepted: 07, September 2017
Published: September 2017
Citation:
Editor: Dr.A.Arul L.S, Chief Editor, IJIRAE, AM Publications, India
Copyright: ©2017 This is an open access article distributed under the terms of the Creative Commons Attribution
License, Which Permits unrestricted use, distribution, and reproduction in any medium, provided the original author
and source are credited.
Abstract— Profile dose analysis of 6 MV linear accelerator use CCD Electronic portal imaging device has been
ivestigated. The aim of that research is analysis the profile dose curve of CCD EPID. The analysis include calculate
the linierity. Symetrisity and penumbra value. Linier accelerator electa compac and CCD EPID are the material of
that research. CCD EPID beamed with 10 x 10 cm field with 5 kind of MU. The MU value are 20 MU until 100 MU.
The image of CCD EPID converted to grey-scale. Than we calculaated the grey scale value become profile dose
curve in cross-line and inline position. The result are we get simetrisity and penumbra less than 2%, but linierity
value more 0,2% more than 3%. It means that the symetrisity and penumbra agree with AAPM TG no. 47. But the
linerity must has more investigated to decrease he value until 3%.
Keywords— profil dose, corection, CCD EPID
I. INTRODUCTION
This Modern irradiation techniques, such as intensity-modulated radiation therapy (IMRT) or volumetric
modulated arc therapy (VMAT), offer excellent conformity of the dose to the target volume while keeping the dose
delivered to organs at risk to a minimum. However, these highly technical treatments make it necessary to have a
solid quality assurance (QA) system working in parallel to ensure that the dose delivered to the patient respects
the medical prescription.[1]
Most modern linear accelerators that used IMRT or VMAT techniques are outfitted with an Coupled Charge Device
(CCD) Electronic Portal Imaging Device (EPID). CCD EPID capable of collecting images in both integrated and
continuous mode Although the primary objective of EPID is to check patient set-up before starting treatment,
several teams have shown that it can also play a fundamental role in QA of IMRT plans [1–3]. Therefore, analysis
of multi-leaf collimator (MLC) performance [4–6], patient specific pre-treatment verifications [7–9] and EPID-
based in vivo dosimetry [10–14] have become major domains of research over the last 10 years [15].
International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2163
Issue 09, Volume 4 (September 2017) www.ijirae.com
______________________________________________________________________________________________
IJIRAE: Impact Factor Value – SJIF: Innospace, Morocco (2016): 3.916 | PIF: 2.469 | Jour Info: 4.085 |
ISRAJIF (2016): 3.715 | Indexcopernicus: (ICV 2015): 47.91
IJIRAE © 2014- 17, All Rights Reserved Page -12
EPID have been investigated for the purpose of treatment verification. (2–19) While several reports have
considered the stability and accuracy of using an EPID for dosimetric purposes, (15-16) there are generally four
different ways of using the EPID for dose verification. One method is to compute the dose to the EPID for each
beam to compare to the EPID image of each beam. (15-17) A second method is to use the EPID to verify the leaf
positions for intensity-modulated fields. (16–18) A third method considers reconstructing the dose to the patient
using the exit image acquired during treatment. (19). Finally, prior reports (18-19) have considered using a fourth
method (1) that converts the EPID image to an incident fluence distribution and uses this fluence distribution as
input to a dose algorithm, which computes the dose to the patient. This method has several advantages over using
the exit dose. Use of the exit dose requires subtracting the scatter generated within the patient that reaches the
imaging device. This fluence must then be traced back through the patient to derive the incident fluence, which is
then used to compute the dose to the patient. In addition, the patient support system may be in the exit path of the
beam. Deriving the incident fluence from EPID mmeasurement without the patient avoids such difficulties and,
therefore, may be more accurate and reliable. Renner
The present investigation is a variant of the fourth method and consists of converting the EPID images to a fluence
map, based on the images acquired for each of the fields of the patient’s treatment plan. For every beam, the
measured fluence is used as input to the treatment planning system to perform a dose calculation in the patient
anatomy. By doing so, we use the same dose calculation algorithm for both the initial treatment plan and for the
patient specific pre- treatment QA. This allows us to eliminate any dose algorithm specific variations for the
comparison of the initial plan and the EPID-based reconstructed plan. Furthermore, we maintain the integrity of
the original treatment beam geometry and we use the same evaluation tools for the dosimetric analysis of both
plans. Consequently, any changes in the plan quality between the physician approved and delivered plan will be
attributed to errors introduced by the delivery since all other parameters are kept constant
II. MATERIAL AND METHODE
An Elekta Compac 201165 Linear accelerator with Camera Coupled Charge Devise based Electronic Portal Imaging
Device and Monaco 5.11 software was used in this investigation. The Elekta linac could only be programmed for
source to detector distance (SDD) of 160 cm. The maximum size of the fluence map that can be calculate based on
EPID measurements is a 25 x 25 cm2 field. In order to accurately take into account the penumbra region of the
IMRT field, a maximum filed size of 22 x 22 cm2 is recommended Quinno et al. Have describe about many
challenges for dose reconstruction using an EPID: a) the EPID response dependence on energy, b) the effect on the
image from the backscatter attributed to the EPID support arm, c) transmission associated with the MLC tongue
and grove effect, and d) MLC interleaf leakage. In the present study, the energy dependence response of the EPID
has been incorporated by obtaining calibration images for every beam energy and by constructing a unique
calibration curve that is linac and energy specific.
The MU-EPID software has been developed using Matlab version 9.0. The graphical user interface (GUI) has two
principle functions which are a) EPID image calibration and b) IMRT QA. Step wedge and uniform irradiation are
the two options currently implemented for the calibration of the system. The IMRT QA routine includes the IMRT
processing function where the DICOM images from the EPID are processed and converted to fluence maps for the
TPS dose calculation. An IMRT evaluation function is available for dose profile comparison and for planar dose
difference and gamma analysis between the measured and TPS exported planar doses
1. EPID Linearity Test
2. EPID Images Conversion to Fluence
3. EPID-IMRT QA procces
Validation IMRT patient specific QA
III.RESULT AND DISCUSSION
All The result image from CCD EPID than we change to the grey scale value use matlab program. We take the
greysclae value from inline and crossline to made a profil dose curve. The x axis for the field and the y axis for the
dose value. For the pixel value of CCD EPID 876 x 876 with true size 27 cm x 27 cm we take a middle of data in the
crossline and inline in value 478.
The result of all of MU value, we can see in the figure 1.
International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2163
Issue 09, Volume 4 (September 2017) www.ijirae.com
______________________________________________________________________________________________
IJIRAE: Impact Factor Value – SJIF: Innospace, Morocco (2016): 3.916 | PIF: 2.469 | Jour Info: 4.085 |
ISRAJIF (2016): 3.715 | Indexcopernicus: (ICV 2015): 47.91
IJIRAE © 2014- 17, All Rights Reserved Page -13
Figure 1. profil dose curve for crossline position
We can see the spread of the dose by the curve. For the bigger MU we take tho the CCD EPID, made the the higher
curve. The dose value is the result of normalism for ggreyscale value. If we have no normalism, we get reverse
curve. For the profil dose curve from CCD EPID images, we can calculate the correction of profil dose. The
corection of profil dose include linierity, simetrisity and penumbra value. And the result is in tabel 1.
TABLE I - RESULT OF CROSSLINE POSITION
MU average Standard error Simetriisity (%) Linierity / flatness(%) penumbra
20 448,82±6,83 0,33 0,51 3,4 0,040
40 473,38±7,08 0,36 0,51 3,1 0,049
60 486,94±7,47 0,30 0,50 3,0 0,052
80 493,94±7,38 0,17 1,1 3,5 0,054
100 515,34±7,84 0,17 1,0 3,3 0,060
100 515,34±7,84 0,44 1,7 3,3 0,06
The inline position, we can see that curve in figure 2
Fig 2. profil dose curve for inline position
The correction of this inline position, we can see in the table 2.
MU average Standar Error Simetrisity(%) Linierity / Flatness(%) Penumbra
20 438,81±6,83 0,38 1,6 3,4 0,04
40 473,38±7,09 0,39 1,5 3,1 0,05
60 486,94±7,47 0,41 1,6 3 0,05
80 493,94±7,38 0,41 1,9 3,5 0,05
After we can see the result of the profil dose curve, we can anlysis the curve. The first curve in crossline
position the simetrisity value no more thn 3% value and so does penumbra value. Its agree with AAPM TG
no.47. but the linierity value have little more than 3%. Inline position have the same disscusion with crossline
position. But in inline position, the simetrisity value bigger than crossline position. Its because the direction of
the radiation.
International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2163
Issue 09, Volume 4 (September 2017) www.ijirae.com
______________________________________________________________________________________________
IJIRAE: Impact Factor Value – SJIF: Innospace, Morocco (2016): 3.916 | PIF: 2.469 | Jour Info: 4.085 |
ISRAJIF (2016): 3.715 | Indexcopernicus: (ICV 2015): 47.91
IJIRAE © 2014- 17, All Rights Reserved Page -14
IV. CONCLUSIONS
For the two of position inline and crossline, have the same result. Symetrisity value and penumbra value have
average less than 3% agree with AAPM TG no. 47. But for linierity have litle more value than 3%. But that value
still good the make dosimeter with CCD EPID. The inline positian has bigger symetrisity than crossline position.
Its because the direction of the x-ray in the linac.
REFERENCES
1. Camilleri, J., Mazurier, J., Franck, D., Dudouet, P., Latorzeff, I., Franceries, X., 2016, 2D EPID calibration for
pretreatment quality control of conformal and IMRT fields: A simple and fast convolution approach, Physica
Medica; 32: 133-140
2. Kim YL, Chung JB, Kim JS, Lee JW, Choi KS. Comparison of the performance between portal dosimetry and a
commercial two-dimensional array system on pretreatment quality assurance for volumetric-modulated arc
and intensity-modulated radiation therapy. J Korean Phys Soc 2014;64:1207-12.
3. Essers M, Hoogervorst BR, van Herk M, Lanson H, Mijnheer BJ. Dosimetric characteristics of a liquid-filled
electronic portal imaging device. Int J Radiat Oncol Biol Phys 1995;33:1265-72.
4. Krishna Murthy K. Patient-specific quality assurance of RapidArc treatments: Portal prediction dosimetry
compared with phantom studies. Biomed Imaging Interv J 2012;8.
5. Van Esch A, Depuydt T, Huyskens DP. The use of an aSi-based EPID for routine absolute dosimetric pre-
treatment verification of dynamic IMRT fields. Radiother Oncol 2004;71:223-34.
6. Greer PB, Popescu CC. Dosimetric properties of an amorphous silicon electronic portal imaging device for
verification of dynamic intensity modulated radiation therapy. Med Phys 2003;30:1618-27
7. De Boer JC, Heijmen BJ, Pasma KL, Visser AG. Characterization of a high-elbow, fluoroscopic electronic portal
imaging device for portal dosimetry. Phys Med Biol 2000;45:197-216.
8. van Elmpt W, McDermott L, Nijsten S, Wendling M, Lambin P, Mijnheer B. A literature review of electronic
portal imaging for radiotherapy dosimetry. Radiother Oncol 2008;88:289-309.
9. Chatelain C, Vetterli D, Henzen D, Favre P, Morf D, Scheib S, et al. Dosimetric properties of an amorphous
silicon EPID for verification of modulated electron radiotherapy. Med Phys 2013;40:061710.
10.Herwiningsih S, Hanlon P, Fielding A. Sensitivity of an Elekta iView GT a-Si EPID model to delivery errors for
pre-treatment verification of IMRT fields. Australas Phys Eng Sci Med 2014.
11.Mohammadi M, Bezak E. Two-dimensional transmitted dose measurements using a scanning liquid
ionization chamber EPID. Phys Med Biol 2006;51:2971.
12.Franken EM, de Boer JC, Heijmen BJ. A novel approach to accurate portal dosimetry using CCD-camera based
EPIDs. Med Phys 2006;33:888-903.
13.Franken EM, de Boer JC, Barnhoorn JC, Heijmen BJ. Characteristics relevant to portal dosimetry of a cooled
CCD camera-based EPID. Med Phys 2004;31:2549-51.
14.de Boer J, Barnhoorn J, Heijmen B. The CCD-camera based electronic portal imaging device (EPID) revisited;
Can a-Si flat panel EPIDs do better? Radiother Oncol 2002;64:S12.
15.Pasma KL, Kroonwijk M, de Boer JC, Visser AG, Heijmen BJ. Accurate portal dose measurement with a
fluoroscopic electronic portal imaging device (EPID) for open and wedged beams and dynamic multileaf
collimation. Phys Med Biol 1998;43:2047-60.
16.Pasma KL, Dirkx ML, Kroonwijk M, Visser AG, Heijmen BJ. Dosimetric verification of intensity modulated
beams produced with dynamic multileaf collimation using an electronic portal imaging device. Med Phys
1999;26:2373-8.
17.Anvari, A., Mahmoud, S., Aghamiri, R., Rabie, S., Mahdavi, Alaei, P., 2016, Dose Response haracteristics of a
novel CCD camera Based Electronic portal Imaging Device Comparison with OCTAVIUS detector,
cabcerjournal;11:4
18.Anvari A, Aghamiri S, Mahdavi S, Alaei P. SU-ET-65: Characterization of a 2D array for qa and pretreatment
plan verification. Med Phys 2014;41:236-7.
19.Andreo P, Burns DT, Hohlfeld K, Huq MS, Kanai T, Laitano F, et al. Absorbed dose determination in external
beam radiotherapy: An international code of practice for dosimetry based on standards of absorbed dose to
water. Vienna (Austria): IAEA Technical Report Series; 2000. p. 398.

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PROFILE DOSE ANALYSIS OF 6MV LINEAR ACCELERATOR WITH CCD ELECTRONIC PORTAL IMAGING DEVICE

  • 1. International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2163 Issue 09, Volume 4 (September 2017) www.ijirae.com _________________________________________________________________________________________________ IJIRAE: Impact Factor Value – SJIF: Innospace, Morocco (2016): 3.916 | PIF: 2.469 | Jour Info: 4.085 | ISRAJIF (2016): 3.715 | Indexcopernicus: (ICV 2015): 47.91 IJIRAE © 2014- 17, All Rights Reserved Page -11 PROFILE DOSE ANALYSIS OF 6MV LINEAR ACCELERATOR WITH CCD ELECTRONIC PORTAL IMAGING DEVICE Arisa Dwi Sakti,Wahyu Setia Budi, Eko Hidayanto Diponegoro University,Indonesia arisads@st.fisika.undip.ac.id, wahyu.sb@fisika.undip.ac.id, ekohidayanto@fisika.undip.ac.id Manuscript History Number: IJIRAE/RS/Vol.04/Issue09/SPAE10085 DOI: 10.26562/IJIRAE.2017.SPAE10085 Received: 21, August 2017 Final Correction: 30, August 2017 Final Accepted: 07, September 2017 Published: September 2017 Citation: Editor: Dr.A.Arul L.S, Chief Editor, IJIRAE, AM Publications, India Copyright: ©2017 This is an open access article distributed under the terms of the Creative Commons Attribution License, Which Permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Abstract— Profile dose analysis of 6 MV linear accelerator use CCD Electronic portal imaging device has been ivestigated. The aim of that research is analysis the profile dose curve of CCD EPID. The analysis include calculate the linierity. Symetrisity and penumbra value. Linier accelerator electa compac and CCD EPID are the material of that research. CCD EPID beamed with 10 x 10 cm field with 5 kind of MU. The MU value are 20 MU until 100 MU. The image of CCD EPID converted to grey-scale. Than we calculaated the grey scale value become profile dose curve in cross-line and inline position. The result are we get simetrisity and penumbra less than 2%, but linierity value more 0,2% more than 3%. It means that the symetrisity and penumbra agree with AAPM TG no. 47. But the linerity must has more investigated to decrease he value until 3%. Keywords— profil dose, corection, CCD EPID I. INTRODUCTION This Modern irradiation techniques, such as intensity-modulated radiation therapy (IMRT) or volumetric modulated arc therapy (VMAT), offer excellent conformity of the dose to the target volume while keeping the dose delivered to organs at risk to a minimum. However, these highly technical treatments make it necessary to have a solid quality assurance (QA) system working in parallel to ensure that the dose delivered to the patient respects the medical prescription.[1] Most modern linear accelerators that used IMRT or VMAT techniques are outfitted with an Coupled Charge Device (CCD) Electronic Portal Imaging Device (EPID). CCD EPID capable of collecting images in both integrated and continuous mode Although the primary objective of EPID is to check patient set-up before starting treatment, several teams have shown that it can also play a fundamental role in QA of IMRT plans [1–3]. Therefore, analysis of multi-leaf collimator (MLC) performance [4–6], patient specific pre-treatment verifications [7–9] and EPID- based in vivo dosimetry [10–14] have become major domains of research over the last 10 years [15].
  • 2. International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2163 Issue 09, Volume 4 (September 2017) www.ijirae.com ______________________________________________________________________________________________ IJIRAE: Impact Factor Value – SJIF: Innospace, Morocco (2016): 3.916 | PIF: 2.469 | Jour Info: 4.085 | ISRAJIF (2016): 3.715 | Indexcopernicus: (ICV 2015): 47.91 IJIRAE © 2014- 17, All Rights Reserved Page -12 EPID have been investigated for the purpose of treatment verification. (2–19) While several reports have considered the stability and accuracy of using an EPID for dosimetric purposes, (15-16) there are generally four different ways of using the EPID for dose verification. One method is to compute the dose to the EPID for each beam to compare to the EPID image of each beam. (15-17) A second method is to use the EPID to verify the leaf positions for intensity-modulated fields. (16–18) A third method considers reconstructing the dose to the patient using the exit image acquired during treatment. (19). Finally, prior reports (18-19) have considered using a fourth method (1) that converts the EPID image to an incident fluence distribution and uses this fluence distribution as input to a dose algorithm, which computes the dose to the patient. This method has several advantages over using the exit dose. Use of the exit dose requires subtracting the scatter generated within the patient that reaches the imaging device. This fluence must then be traced back through the patient to derive the incident fluence, which is then used to compute the dose to the patient. In addition, the patient support system may be in the exit path of the beam. Deriving the incident fluence from EPID mmeasurement without the patient avoids such difficulties and, therefore, may be more accurate and reliable. Renner The present investigation is a variant of the fourth method and consists of converting the EPID images to a fluence map, based on the images acquired for each of the fields of the patient’s treatment plan. For every beam, the measured fluence is used as input to the treatment planning system to perform a dose calculation in the patient anatomy. By doing so, we use the same dose calculation algorithm for both the initial treatment plan and for the patient specific pre- treatment QA. This allows us to eliminate any dose algorithm specific variations for the comparison of the initial plan and the EPID-based reconstructed plan. Furthermore, we maintain the integrity of the original treatment beam geometry and we use the same evaluation tools for the dosimetric analysis of both plans. Consequently, any changes in the plan quality between the physician approved and delivered plan will be attributed to errors introduced by the delivery since all other parameters are kept constant II. MATERIAL AND METHODE An Elekta Compac 201165 Linear accelerator with Camera Coupled Charge Devise based Electronic Portal Imaging Device and Monaco 5.11 software was used in this investigation. The Elekta linac could only be programmed for source to detector distance (SDD) of 160 cm. The maximum size of the fluence map that can be calculate based on EPID measurements is a 25 x 25 cm2 field. In order to accurately take into account the penumbra region of the IMRT field, a maximum filed size of 22 x 22 cm2 is recommended Quinno et al. Have describe about many challenges for dose reconstruction using an EPID: a) the EPID response dependence on energy, b) the effect on the image from the backscatter attributed to the EPID support arm, c) transmission associated with the MLC tongue and grove effect, and d) MLC interleaf leakage. In the present study, the energy dependence response of the EPID has been incorporated by obtaining calibration images for every beam energy and by constructing a unique calibration curve that is linac and energy specific. The MU-EPID software has been developed using Matlab version 9.0. The graphical user interface (GUI) has two principle functions which are a) EPID image calibration and b) IMRT QA. Step wedge and uniform irradiation are the two options currently implemented for the calibration of the system. The IMRT QA routine includes the IMRT processing function where the DICOM images from the EPID are processed and converted to fluence maps for the TPS dose calculation. An IMRT evaluation function is available for dose profile comparison and for planar dose difference and gamma analysis between the measured and TPS exported planar doses 1. EPID Linearity Test 2. EPID Images Conversion to Fluence 3. EPID-IMRT QA procces Validation IMRT patient specific QA III.RESULT AND DISCUSSION All The result image from CCD EPID than we change to the grey scale value use matlab program. We take the greysclae value from inline and crossline to made a profil dose curve. The x axis for the field and the y axis for the dose value. For the pixel value of CCD EPID 876 x 876 with true size 27 cm x 27 cm we take a middle of data in the crossline and inline in value 478. The result of all of MU value, we can see in the figure 1.
  • 3. International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2163 Issue 09, Volume 4 (September 2017) www.ijirae.com ______________________________________________________________________________________________ IJIRAE: Impact Factor Value – SJIF: Innospace, Morocco (2016): 3.916 | PIF: 2.469 | Jour Info: 4.085 | ISRAJIF (2016): 3.715 | Indexcopernicus: (ICV 2015): 47.91 IJIRAE © 2014- 17, All Rights Reserved Page -13 Figure 1. profil dose curve for crossline position We can see the spread of the dose by the curve. For the bigger MU we take tho the CCD EPID, made the the higher curve. The dose value is the result of normalism for ggreyscale value. If we have no normalism, we get reverse curve. For the profil dose curve from CCD EPID images, we can calculate the correction of profil dose. The corection of profil dose include linierity, simetrisity and penumbra value. And the result is in tabel 1. TABLE I - RESULT OF CROSSLINE POSITION MU average Standard error Simetriisity (%) Linierity / flatness(%) penumbra 20 448,82±6,83 0,33 0,51 3,4 0,040 40 473,38±7,08 0,36 0,51 3,1 0,049 60 486,94±7,47 0,30 0,50 3,0 0,052 80 493,94±7,38 0,17 1,1 3,5 0,054 100 515,34±7,84 0,17 1,0 3,3 0,060 100 515,34±7,84 0,44 1,7 3,3 0,06 The inline position, we can see that curve in figure 2 Fig 2. profil dose curve for inline position The correction of this inline position, we can see in the table 2. MU average Standar Error Simetrisity(%) Linierity / Flatness(%) Penumbra 20 438,81±6,83 0,38 1,6 3,4 0,04 40 473,38±7,09 0,39 1,5 3,1 0,05 60 486,94±7,47 0,41 1,6 3 0,05 80 493,94±7,38 0,41 1,9 3,5 0,05 After we can see the result of the profil dose curve, we can anlysis the curve. The first curve in crossline position the simetrisity value no more thn 3% value and so does penumbra value. Its agree with AAPM TG no.47. but the linierity value have little more than 3%. Inline position have the same disscusion with crossline position. But in inline position, the simetrisity value bigger than crossline position. Its because the direction of the radiation.
  • 4. International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2163 Issue 09, Volume 4 (September 2017) www.ijirae.com ______________________________________________________________________________________________ IJIRAE: Impact Factor Value – SJIF: Innospace, Morocco (2016): 3.916 | PIF: 2.469 | Jour Info: 4.085 | ISRAJIF (2016): 3.715 | Indexcopernicus: (ICV 2015): 47.91 IJIRAE © 2014- 17, All Rights Reserved Page -14 IV. CONCLUSIONS For the two of position inline and crossline, have the same result. Symetrisity value and penumbra value have average less than 3% agree with AAPM TG no. 47. But for linierity have litle more value than 3%. But that value still good the make dosimeter with CCD EPID. The inline positian has bigger symetrisity than crossline position. Its because the direction of the x-ray in the linac. REFERENCES 1. Camilleri, J., Mazurier, J., Franck, D., Dudouet, P., Latorzeff, I., Franceries, X., 2016, 2D EPID calibration for pretreatment quality control of conformal and IMRT fields: A simple and fast convolution approach, Physica Medica; 32: 133-140 2. Kim YL, Chung JB, Kim JS, Lee JW, Choi KS. Comparison of the performance between portal dosimetry and a commercial two-dimensional array system on pretreatment quality assurance for volumetric-modulated arc and intensity-modulated radiation therapy. J Korean Phys Soc 2014;64:1207-12. 3. Essers M, Hoogervorst BR, van Herk M, Lanson H, Mijnheer BJ. Dosimetric characteristics of a liquid-filled electronic portal imaging device. Int J Radiat Oncol Biol Phys 1995;33:1265-72. 4. Krishna Murthy K. Patient-specific quality assurance of RapidArc treatments: Portal prediction dosimetry compared with phantom studies. Biomed Imaging Interv J 2012;8. 5. Van Esch A, Depuydt T, Huyskens DP. The use of an aSi-based EPID for routine absolute dosimetric pre- treatment verification of dynamic IMRT fields. Radiother Oncol 2004;71:223-34. 6. Greer PB, Popescu CC. Dosimetric properties of an amorphous silicon electronic portal imaging device for verification of dynamic intensity modulated radiation therapy. Med Phys 2003;30:1618-27 7. De Boer JC, Heijmen BJ, Pasma KL, Visser AG. Characterization of a high-elbow, fluoroscopic electronic portal imaging device for portal dosimetry. Phys Med Biol 2000;45:197-216. 8. van Elmpt W, McDermott L, Nijsten S, Wendling M, Lambin P, Mijnheer B. A literature review of electronic portal imaging for radiotherapy dosimetry. Radiother Oncol 2008;88:289-309. 9. Chatelain C, Vetterli D, Henzen D, Favre P, Morf D, Scheib S, et al. Dosimetric properties of an amorphous silicon EPID for verification of modulated electron radiotherapy. Med Phys 2013;40:061710. 10.Herwiningsih S, Hanlon P, Fielding A. Sensitivity of an Elekta iView GT a-Si EPID model to delivery errors for pre-treatment verification of IMRT fields. Australas Phys Eng Sci Med 2014. 11.Mohammadi M, Bezak E. Two-dimensional transmitted dose measurements using a scanning liquid ionization chamber EPID. Phys Med Biol 2006;51:2971. 12.Franken EM, de Boer JC, Heijmen BJ. A novel approach to accurate portal dosimetry using CCD-camera based EPIDs. Med Phys 2006;33:888-903. 13.Franken EM, de Boer JC, Barnhoorn JC, Heijmen BJ. Characteristics relevant to portal dosimetry of a cooled CCD camera-based EPID. Med Phys 2004;31:2549-51. 14.de Boer J, Barnhoorn J, Heijmen B. The CCD-camera based electronic portal imaging device (EPID) revisited; Can a-Si flat panel EPIDs do better? Radiother Oncol 2002;64:S12. 15.Pasma KL, Kroonwijk M, de Boer JC, Visser AG, Heijmen BJ. Accurate portal dose measurement with a fluoroscopic electronic portal imaging device (EPID) for open and wedged beams and dynamic multileaf collimation. Phys Med Biol 1998;43:2047-60. 16.Pasma KL, Dirkx ML, Kroonwijk M, Visser AG, Heijmen BJ. Dosimetric verification of intensity modulated beams produced with dynamic multileaf collimation using an electronic portal imaging device. Med Phys 1999;26:2373-8. 17.Anvari, A., Mahmoud, S., Aghamiri, R., Rabie, S., Mahdavi, Alaei, P., 2016, Dose Response haracteristics of a novel CCD camera Based Electronic portal Imaging Device Comparison with OCTAVIUS detector, cabcerjournal;11:4 18.Anvari A, Aghamiri S, Mahdavi S, Alaei P. SU-ET-65: Characterization of a 2D array for qa and pretreatment plan verification. Med Phys 2014;41:236-7. 19.Andreo P, Burns DT, Hohlfeld K, Huq MS, Kanai T, Laitano F, et al. Absorbed dose determination in external beam radiotherapy: An international code of practice for dosimetry based on standards of absorbed dose to water. Vienna (Austria): IAEA Technical Report Series; 2000. p. 398.