|Year : 2015 | Volume
| Issue : 3 | Page : 129-135
Determination of dosimetric leaf gap using amorphous silicon electronic portal imaging device and its influence on intensity modulated radiotherapy dose delivery
S Timothy Peace Balasingh, I Rabi Raja Singh, K Mohamathu Rafic, S Ebenezer Suman Babu, B Paul Ravindran
Department of Radiotherapy, Christian Medical College, Vellore, Tamil Nadu, India
|Date of Submission||27-Dec-2014|
|Date of Decision||06-Apr-2015|
|Date of Acceptance||13-Apr-2015|
|Date of Web Publication||11-Sep-2015|
S Timothy Peace Balasingh
Department of Radiotherapy, Christian Medical College, Vellore - 632 004, Tamil Nadu
Source of Support: Nil., Conflict of Interest: There are no conflicts of interest.
| Abstract|| |
As complex treatment techniques such as intensity modulated radiotherapy (IMRT) entail the modeling of rounded leaf-end transmission in the treatment planning system, it is important to accurately determine the dosimetric leaf gap (DLG) value for a precise calculation of dose. The advancements in the application of the electronic portal imaging device (EPID) in quality assurance (QA) and dosimetry have facilitated the determination of DLG in this study. The DLG measurements were performed using both the ionization chamber (DLGion) and EPID (DLGEPID) for sweeping gap fields of different widths. The DLGion values were found to be 1.133 mm and 1.120 mm for perpendicular and parallel orientations of the 0.125 cm3 ionization chamber, while the corresponding DLGEPID values were 0.843 mm and 0.819 mm, respectively. It was found that the DLG was independent of volume and orientation of the ionization chamber, depth, source to surface distance (SSD), and the rate of dose delivery. Since the patient-specific QA tests showed comparable results between the IMRT plans based on the DLGEPID and DLGion, it is concluded that the EPID can be a suitable alternative in the determination of DLG.
Keywords: Dosimetric leaf gap, electronic portal imaging device, intensity modulated radiotherapy, MLC transmission, rounded leaf-end transmission, sweeping gap
|How to cite this article:|
Balasingh S T, Singh I R, Rafic K M, Babu S E, Ravindran B P. Determination of dosimetric leaf gap using amorphous silicon electronic portal imaging device and its influence on intensity modulated radiotherapy dose delivery. J Med Phys 2015;40:129-35
|How to cite this URL:|
Balasingh S T, Singh I R, Rafic K M, Babu S E, Ravindran B P. Determination of dosimetric leaf gap using amorphous silicon electronic portal imaging device and its influence on intensity modulated radiotherapy dose delivery. J Med Phys [serial online] 2015 [cited 2019 Nov 12];40:129-35. Available from: http://www.jmp.org.in/text.asp?2015/40/3/129/165072
| Introduction|| |
The introduction of multileaf collimators (MLC), reported since the late eighties,,, has revolutionized radiation therapy, ushering in the concept of conformal therapy while paving the way for rapid development of newer treatment techniques that have improved the efficacy of delivery and the resultant outcomes.
The MLC systems that are commercially available primarily differ from one another in the tongue and groove and leaf-end designs. The single-focused leaves are rounded at the tip vertically so as to attain better off-axis dosimetric characteristics such as constant penumbra at the plane of the isocenter across the field. This results in the rounded leaf-end transmission where radiation passes between the leaves even when they are closed. Though the rounded-end leaves have an advantage over their double-focused counterparts (obeying beam divergence), the ensuing leaf-end transmission brings in a complexity in the beam modeling that can radically affect the dose calculation in model-based treatment planning systems (TPS).
The leakage through the rounded leaf-ends, more relevant in dynamic intensity modulated radiotherapy (d-IMRT) delivery as compared to "step and shoot" delivery, has to be accurately accounted for in order to avoid erroneous dose delivery. During the leaf-sequencing process of IMRT planning, the leaf motion calculator (LMC) which converts the optimal fluence into leaf sequences that can be achieved by the MLC, accounts for the transmission of radiation through the two abutting rounded leaves as specified by the dosimetric leaf gap (DLG).
The dose calculation algorithm of the Eclipse™ TPS, which models the leaf-ends as square instead of round, incorporates the DLG parameter that accounts for the leaf transmission by moving the positions of the leaf tips while calculating the actual fluence. Each leaf tip of the MLC leaf pair is moved back by half the DLG value, in such a way that the separation between a completely closed leaf pair is equal to the DLG value. The actual fluence is calculated by the LMC that corrects the optimal fluence generated by the optimization algorithm for the calculated leaf sequence and also accounting for transmission, leakage factors, minimum leaf gap, and leaf speed and span., Since the delivery of IMRT depends on the ability of the TPS to model the dynamic MLC (d-MLC) beam both geometrically and dosimetrically in a precise manner, it is important to accurately determine the DLG value.
Clark et al. measured the DLG using sweeping gap fields of different widths and plotting the net dose against the gap width as part of the TPS commissioning. The sweeping gap fields enable the dynamic motion of MLC leaves with a constant gap across the reference field set by the jaws to deliver a uniform dose. These were first used by LoSasso et al. for verifying leaf gap accuracy.
Zygmanski et al. developed a generalized model to simultaneously calculate MLC parameters such as direct MLC transmission, MLC scatter correction, and DLG. The DLG was calculated as the sum of the center mechanical offset and twice the radiation field offset that is the MLC position offset due to the transmission through the rounded leaf-ends. The use of measured DLG to check the dosimetric reproducibility of d-IMRT plans was investigated by Mei et al. using the ionization chamber for point dose measurements, amorphous silicon (a-Si) electronic portal imaging device (EPID) for two-dimensional (2D) measurements, and a one-dimensional diode array.
Essers et al. performed several tests to check the suitability of d-MLC mode in combination with an inverse planning system and LMC software for clinical use. They varied the MLC transmission and DLG values and determined the optimal values by measuring the absolute dose profiles. The DLG values obtained from five different centers were compared by Van Esch et al. by performing measurements using different techniques and detectors such as an ionization chamber, a diamond detector, and film.
The EPID, introduced initially as a reliable replacement for portal films, and more recently in quality assurance (QA),,, and dosimetry,,,,, has become an active area of research with the introduction of a-Si based flat panel detectors.,,, The a-Si detector panel is a matrix of light-sensitive photodiodes for integrating the light and thin-film transistors which act as the switch to the readout electronics.
While most of the published DLG studies have focused primarily on the measurement of DLG as part of the IMRT commissioning process,,, few authors have investigated the dosimetric parameters affecting the DLG and its influence on dose calculation and delivery., In this study, the use of an a-Si EPID as an alternative to the ionization chamber for the measurement of the DLG has been investigated. The influence of the interleaf and intraleaf leakage patterns observed from the dose maps of the sweeping gap fields acquired using the EPID have been demonstrated. DLGEPID measurements were performed, simulating the ionization chambers of different volumes and orientations. Further, the influence of medium and depth of measurement on the DLG were studied. Finally, the impact of DLGion and DLGEPID on IMRT dose delivery was also investigated using patient-specific QA tests viz., central axis (CAX) absolute dosimetry and fluence verification using portal dosimetry.
| Materials and Methods|| |
The 6 MV photon beam of the Clinac 2100C/D dual-energy linear accelerator equipped with a 120-leaf Millennium multi-leaf collimator system and an aS1000 EPID (Varian Medical Systems, Inc., USA) was used in this study. In order to measure the DLG, sweeping gap fields of varying widths were used. To measure the MLC leakage, two completely blocked MLC fields (one with MLC bank A completely closing the field, as shown in [Figure 1], and the other with MLC bank B closed in a similar manner) were employed since a single blocked field with both MLC banks closed at the center would result in over-estimating the MLC leakage due to the abutting leaf-end transmission. A plan was created in Eclipse™ TPS (Varian Medical Systems, Inc., USA) consisting of seven sweeping gap fields of widths 2 mm, 4 mm, 6 mm, 10 mm, 14 mm, 16 mm, and 20 mm, respectively, apart from two closed MLC fields and an open field. A reference field size of 10 cm × 10 cm was set by the X and Y jaws for all the above ten fields, which will hereafter be referred to as DLG fields. Each sweeping gap traveled across this reference field, and had a control point for every centimeter. The leaf sequences for the same were calculated using LMC.
|Figure 1: The beam's eye view projection of the completely blocked multileaf collimator (MLC) field with MLC bank A closed|
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| Determination of Dosimetric Leaf Gap|| |
The DLG plan (consisting of the DLG fields) was irradiated on the linear accelerator and the doses for DLG fields were measured using both the ionization chamber and EPID. Each DLG field had a constant monitor unit setting (MU) of 100 MU, which was delivered at a dose rate (pulse rate) of 400 MU/min. The DLG was obtained from the graph in which the output factor (Rsg,w) corrected for MLC leakage is plotted against its sweeping gap width (w).
The output factor, Rsg,w = Dsg,w/Dopen
Where, Dsg,w is the dose measured for sweeping field (w) and Dopen is the dose measured for open field.
The MLC transmission was calculated as the ratio of the dose measured with the MLC in closed and open positions for the reference field size. The former was obtained by taking the mean of the doses thrice measured with each MLC bank completely closed. However, in order to accurately determine the MLCT for the time for which the MLC leaves block the detector for each sweeping gap field, the corrected MLCT was calculated using the following formula.
Corrected MLCT = MLCT × (1−(w/L))
Where L is the distance (100 mm) traveled by the MLCs for each sweeping gap field.
The corrected output factor (Rc,sg,w), obtained by subtracting the corrected MLCT from Rsg, w, was plotted against the sweeping gap width "w", and the DLG was derived as the x-intercept of the linear extrapolation.
| DlgIon Study|| |
The DLGion measurements were recorded three times using the 0.125 cm 3 Semiflex ionization chamber (PTW, Germany) "in water" on the MP3-S radiation field analyzer (RFA, PTW, Germany), except where stated otherwise. The chamber was placed at dmax (1.5 cm), with source to surface distance (SSD) of 103.5 cm [Figure 2] to aid comparison with the DLGEPID measurements, which were acquired with the EPID at a source to detector distance (SDD) of 105 cm.
|Figure 2: Schematic of DLG measurement using ionization chamber. (A) Gantry (B) MLC (C) Direction of sweeping beam. The magnified image shows the dose being delivered at different instances of the sweeping beam. A uniform dose (portrayed by the flat profile) is achieved as the result of the integrated dose. (D) Radiation field analyzer (E) Parallel orientation of ionization chamber (with respect to the direction of sweeping beam)|
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Since the doses measured for the DLG fields include contributions from interleaf and intraleaf leakage, the volume and orientation of the ionization chamber could influence the dose measurement, and hence the DLGion value. To understand the influence of chamber orientation on DLG determination, the DLG measurements were performed with the 0.125 cm 3 ionization chamber in three orientations viz., perpendicular and parallel to the direction of the sweeping beam and parallel to the CAX. Due to the limitation of the RFA, the chamber could not be physically positioned in the first orientation; instead, the collimator was rotated by 90°.
In order to study the effect of chamber volume, the DLGion measurements were repeated using the 0.6 cm 3 Farmer-type ionization chamber (PTW, Germany), positioned in the first two orientations, on a 40 cm × 40 cm × 40 cm water phantom. To investigate the influence of the medium of measurement on DLGion, measurements were carried out using this chamber "in air" with a brass buildup.
To study the influence of depth on DLGion, measurements were recorded with the ionization chamber positioned at 1.5 cm, 5 cm, and 10 cm, respectively, with SSD of 100 cm. Since the leaf speed increases with an increase in the rate of dose delivery for constant MU settings, it is important to study the effect of dose rate on DLG. The dependence of DLG on the dose rate was studied and the measurements were performed for five dose rates ranging from 200 to 600 MU/min, in steps of 100.
| DlgEpid Study|| |
The EPID is supported by the EXaCT™ arm, centered on the machine isocenter, and has a sensitive area of 40 cm × 30 cm (1024 × 768 matrix) corresponding to a pixel size of 0.39 mm. The images were acquired in the "integrated image" mode at a SDD of 105 cm, with the image acquisition software 3 (IAS 3, version 7.5 Varian Medical Systems, Inc., USA) and Image Detection Unit-20 at a frame rate of 9.6 frames/s. The dark-field and flood-field corrections were performed to account for the background signals and the individual pixel insensitivity.
The EPID images were acquired for all the DLG fields [Figure 3]. Since the EPID had already been calibrated for portal dosimetry, the EPID response was recorded as "calibrated unit" (CU). One CU corresponds to the integrated central pixel value when 1 cGy (1 MU) is delivered by the linear accelerator, with a reference field size of 10 cm × 10 cm at isocenter. [Figure 4] shows the different regions of interest (ROIs) overlaid on the portal images of the sweeping gap fields. Initially, the CU values within the central ROI of 4 × 4 pixels of the EPID images were used to calculate the DLGEPID as seen in [Figure 4]a.
|Figure 3: Schematic of DLG measurement using electronic portal imaging device (DLGEPID). (A) Gantry (B) MLC with collimator at 90o (C) Direction of sweeping beam (D) aSi-EPID at SDD of 105 cm (E) EXaCT arm|
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|Figure 4: Different regions of interest (ROI) overlaid on the portal images of the sweeping gap fields (a) 4 × 4 pixels ROI in the interleaf region (b) and (c) ROI (70 × 19 pixels) for 0.6 cm 3 ionization chamber with parallel and perpendicular orientations with respect to direction of sweeping beam|
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However, ROIs were then selected on the basis of the volume and orientation of the ionization chamber. To relate back to results for the 0.125 cm 3 ionization chamber used in an orientation parallel to the direction of the sweeping beam, a 16 × 14 pixel ROI corresponding to the active area of the ionization chamber (6.5 mm × 5.5 mm) was used to measure the EPID doses. Similarly, for the perpendicular orientation, the ROI orientation was reversed (14 × 16 pixels), while a 14 × 14 pixel ROI was employed when the chamber was positioned parallel to CAX. [Figure 4]b and c show the EPID images acquired for the sweeping field with the ROI overlays (70 × 19 pixels and vice-versa) corresponding to the 0.6 cm 3 ionization chamber used in parallel and perpendicular orientations. Since the EPID response is dose rate dependent, the dose rate study was repeated with the EPID.
| Dosimetric Impact of the Dosimetric Leaf Gap|| |
The dosimetric influence of DLG on treatment planning was studied by recalculating three existing IMRT plans using LMC with the DLG values obtained using both the Farmer-type ionization chamber and EPID. Since the accuracy of the DLG value is reflected in the measurements performed on the treatment delivery machine, patient-specific QA viz., absolute dose measurements and fluence map verification using portal dosimetry were performed for the IMRT plans generated.
| Results and Discussion|| |
Since ionization chambers are the standard dosimeters used for the measurement of DLG, they were also used to validate the EPID measurements. The DLG values were derived from the extrapolation graph relating the corrected output R (c,sg,w) and the sweeping gap widths "w", as shown in [Figure 5]. The DLGion values determined with different volumes and orientations are listed in [Table 1]. The DLGion values derived from the graphs plotted were 1.133 mm and 1.107 mm for the 0.125 cm 3 and 0.6 cm 3 ionization chambers, when positioned perpendicular to the direction of the sweeping gap, and 1.120 mm and 1.083 mm for the direction parallel to the sliding window.
|Figure 5: Extrapolation graph to calculate DLGEPID and DLGion (0.125 cm 3)|
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The MLC transmission values were relatively greater for the smaller volume chamber and resulted in higher DLG values as compared to the 0.6 cm 3 chamber for both orientations. The DLGion was found to be 1.157, while having an MLCT value of 1.394% for 0.125 cm 3 chamber (parallel to the CAX).
The dose profiles measured in parallel orientation across the interleaf region of a sweeping beam EPID image showed higher values than that of the intraleaf region [Figure 6]. In the case of the perpendicular orientation, sinusoidal lines of similar amplitudes were observed for both CAX and off-axis. The initial DLGEPID was found to be 1.057 mm when the dose (in CU) was averaged over a central ROI of 4 × 4 pixels that falls in the interleaf region [Figure 4]a. Though this result was found to be closer to the DLGion value, it was not considered as it did not incorporate the intraleaf region that is included in the active volume of the ionization chamber measurement. Hence, the ROIs corresponding to the active areas of the ionization chambers in different orientations were used for determining the DLGEPID.
|Figure 6: Dose profiles of sweeping gap field (2 mm width) acquired using the electronic portal imaging device|
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The DLGEPID values, corresponding to the 0.125 cm 3 chamber in different orientations viz., perpendicular (16 × 14 pixel ROI), parallel to the sweeping beam, and parallel to the CAX (14 × 14 pixels) were 0.843 mm, 0.819 mm, and 0.867 mm, respectively. For the 0.6 cm 3 chamber, the DLGEPID values were 0.807 mm and 0.735 mm for the orientations perpendicular and parallel to the sweeping beam. The overall standard deviation (SD) of 0.05 mm leads us to suggest that there was an averaging effect of the pixel values, which were spatially located over both the inter and intraleaf regions [Figure 4]b and [Figure 4]c. However, it was noted that the DLGEPID, corresponding to the 0.6 cm 3 chamber was slightly higher for the perpendicular orientation as compared to that of the parallel orientation. This variation could be attributed to the former involving equal number of inter and intra-leaf regions, while the latter only had half the number of interleaf regions leading to lower DLG values. This was also observed in the DLGion values as mentioned above [Table 1].
[Table 2] shows the DLG and MLCT values determined from "in water" and "in air" (with brass buildup) using the 0.6 cm 3 chamber. While the results showed that the DLGion value was independent of the medium of measurement, the non-water-equivalent components of the EPID, such as the terbium-doped G2O2S phosphor, could also contribute to response of the EPID.
|Table 2: Dependence of DLGion on medium and depth of measurement and SSD|
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All DLGEPID images were acquired at SDD 105 cm at the detector depth of about 1.5 cm within the EPID. In order to simulate this, the DLGion was measured at dmax with SSD 103.5 cm and compared with the same at the standard SSD of 100 cm to study the influence of the small change in the detector distance. Though the small increment in the detector did not appreciably affect the DLGion value, they have been reported in [Table 2]. The EPID images were acquired with an inherent buildup of the water equivalent thickness of ~0.8 cm. Additional buildup was not used.
Since the detection depth was 1.5 cm within the EPID, the same was simulated for the water phantom measurements. However, as the dmax is not the recommended depth for dose measurements, they were also carried out at 5 cm and 10 cm below the water surface. The DLGion and MLCT values for the three depths viz., 1.5 cm, 5 cm and 10 cm listed in [Table 2] showed a marginal increase in DLG and MLCT values as a function of depth as also reported by Zygmanski et al. However, the SD of 0.032 mm showed that the variation across the depths was negligible, thereby supporting the dmax measurement.
The DLGion and DLGEPID values derived with different dose rates (200–600 MU/min) ranged from 1.048 to 1.121 mm (SD ± 0.03 mm) and 0.819 mm to 0.857 mm (SD ± 0.014 mm), respectively, as seen in [Table 3]. It could be noted that due to the constant MU settings, the velocity of the leaves changed as a function of dose rate, without affecting the dose delivery. The dependence of EPID signal on dose rate did not affect the DLGEPID since the EPID calibration has been performed for each dose rate. However, this could be appreciable if the calibration of a nominal dose rate is applied to the measurements performed using other dose rates.
While the majority of DLG values found in the literature range from 1.9 to 2.4 mm,,, lower values have also been recorded by Clark et al. who reported DLG values of 1.05 mm and 0.97 mm. The DLGEPID values in this study were lower when compared to the ionization chamber measurements. The combined plot of corrected output R (c, sg,w) Vs "w" for calculating the DLGion and DLGEPID corresponding to the parallel orientation of the 0.125 cm 3 chamber is shown in [Figure 5]. It can be noted that, though the linear trends corresponding to both the EPID and ion data were very close to each other, the under-response of the EPID resulted in the straight line intercepting the x-axis at a lower value. The DLGEPID was 0.26 mm lower than the DLGion, similar to the difference (0.3 mm) reported by Mei et al., due to the lower sensitivity of the EPID to smaller doses.
In order to study the influence of DLG on IMRT dose delivery, the measured DLG values were incorporated into the TPS. The DLGion of 1.083 mm (measured at nominal SSD with 0.6 cm 3 ionization chamber) resulted in the leaf tips being pulled back by 0.542 mm on either side of the MLC bank during the actual fluence calculation by the LMC that was performed for three existing IMRT plans. Subsequently, when the same was repeated for DLGEPID of 0.819 mm, the leaf tips were further shifted by 0.132 mm inward on each side thereby reducing the calculated doses.
The patient-specific CAX dose measurements for the recalculated IMRT plans were performed using 0.6 cm 3 ionization chamber. For DLGion, the difference between the measured and calculated doses were −0.05%, −4.71% and −5.22% for the three cases, while the same for DLGEPID were found to be 1.67%, −2.04%, and 0.41%, respectively. The fluence map comparison results performed using portal dosimetry for both DLGion and DLGEPID values-based IMRT plans are listed in [Table 4]. The QA results showed relatively close pixel pass rates for the fluence matrices with 3 mm distance to agreement and 3% dose difference gamma criteria.
|Table 4: Gamma (γ)comparison of IMRT fields for plans with DLGEPID and DLGion|
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| Conclusion|| |
While the dose maps of the sweeping fields obtained using EPID lend insight into the inter and intra-leaf patterns that fall into the active part of ionization chamber, it was found from both DLGEPID and DLGion values that the DLG was independent of volume and orientation of the ionization chamber. It was also not influenced by the depth, SSD and the rate of dose delivery. Since the patient-specific QA tests showed comparable results between the DLGEPID and DLGion-based IMRT plans, it is concluded that the EPID as a high-resolution 2D detector which requires no elaborate setup, can be a suitable alternative in the determination of DLG. It also offers the prospect of determining and modeling the individual leaf DLG values for the entire leaf bank.
The authors would like to thank Mr. A. Sathish Kumar for his help with absolute dose measurements and Mr. L. Jose Solomon Raj for assisting with EPID image analysis.
Financial support and sponsorship
Conflicts of interest
There are no conflicts of interest.
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[Figure 1], [Figure 2], [Figure 3], [Figure 4], [Figure 5], [Figure 6]
[Table 1], [Table 2], [Table 3], [Table 4]