Browse > Article

Application of Off-axis Correction Method for EPID Based IMRT QA  

Cho, Ilsung (Department of Radiation Oncology, Asan Medical Center, University of Ulsan College of Medicine)
Kwark, Jungwon (Department of Radiation Oncology, Asan Medical Center, University of Ulsan College of Medicine)
Park, Sung Ho (Department of Radiation Oncology, Asan Medical Center, University of Ulsan College of Medicine)
Ahn, Seung Do (Department of Radiation Oncology, Asan Medical Center, University of Ulsan College of Medicine)
Jeong, Dong Hyeok (Research Center, Dong-nam Institute of Radiological & Medical Sciences)
Cho, Byungchul (Department of Radiation Oncology, Asan Medical Center, University of Ulsan College of Medicine)
Publication Information
Progress in Medical Physics / v.23, no.4, 2012 , pp. 317-325 More about this Journal
Abstract
The Varian PORTALVISION (Varian Medical Systems, US) shows significant overresponses as the off-center distance increases compared to the predicted dose. In order to correct the dose discrepancy, the off-axis correction is applied to VARIAN iX linear accelerators. The portal dose for $38{\times}28cm^2$ open field is acquired for 6 MV, 15 MV photon beams and also are predicted by PDIP algorithm under the same condition of the portal dose acquisition. The off-axis correction is applied by modifying the $40{\times}40cm^2$ diagonal beam profile data which is used for the beam profile calibration. The ratios between predicted dose and measured dose is modeled as a function of off-axis distance with the $4^{th}$ polynomial and is applied to the $40{\times}40cm^2$ diagonal beam profile data as the weight to correct measured dose by EPID detector. The discrepancy between measured dose and predicted dose is reduced from $4.17{\pm}2.76$ CU to $0.18{\pm}0.8$ CU for 6 MV photon beam and from $3.23{\pm}2.59$ CU to $0.04{\pm}0.85$ CU for 15 MV photon beam. The passing rate of gamma analysis for the pyramid fluence patten with the 4%, 4 mm criteria is improved from 98.7% to 99.1% for 6 MV photon beam, from 99.8% to 99.9% for 15 MV photon beam. IMRT QA is also performed for randomly selected Head and Neck and Prostate IMRT plans after applying the off-axis correction. The gamma passing rare is improved by 3% on average, for Head and Neck cases: $94.7{\pm}3.2%$ to $98.2{\pm}1.4%$, for Prostate cases: $95.5{\pm}2.6%$, $98.4{\pm}1.8%$. The gamma analysis criteria is 3%, 3 mm with 10% threshold. It is considered that the off-axis correction might be an effective and easily adaptable means for correcting the discrepancy between measured dose and predicted dose for IMRT QA using EPID in clinic.
Keywords
IMRT; Quality assurance; EPID; Off-axis correction algorithm;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Wong JW, Slessinger ED, Hermes RE, et al: Portal dose images I: quantitative treatment plan verification. Int J Radiat Oncol Biol Phys 18:1455-1463 (1990)   DOI   ScienceOn
2 Ying X, Geer LY, Wong JW: Portal dose images II: patient dose estimation. Int J Radiat Oncol Biol Phys 18:1465-1475 (1990)   DOI   ScienceOn
3 Kirby MC, Williams PC: The use of an electronic portal imaging device for exit dosimetry and quality control measurements. Int J Radiat Oncol Biol Phys 31:593-603 (1995)   DOI   ScienceOn
4 Pasma KL, Heijmen BJ, Kroonwijk M, et al: Portal dose image prediction for dosimetric treatment verification in radiotherapy. I. An algorithm for open beams. Med Phys 25:830- 840 (1998)   DOI   ScienceOn
5 McCurdya BMC, Luchkaet K, Pistorius S: Dosimetric investigation and portal dose image prediction using an amorphous silicon electronic portal imaging device. Med Phys 28(6): 911-924 (2001)   DOI   ScienceOn
6 Greer P: Correction of pixel sensitivity variation and off-axis response for amorphous silicon EPID dosimetry. Med Phys 32: 3558-3568 (2005)   DOI   ScienceOn
7 Greer P: Off-axis dose response characteristics of an amorphous silicon electronic portal imaging device. Med Phys 34: 3815-3824 (2007)   DOI   ScienceOn
8 Bailey D: An effective correction algorithm for off-axis portal dosimetry errors. Med Phys 36(9):4089-4094 (2009)   DOI   ScienceOn
9 ROOT-An Object Oriented Data Analysis Framework, http://root.cern.ch
10 Moore JA, Siebers JV: Verification of the optimal backscatter for an aSi electronic portal imaging device. Phys Med Biol 50(10):2341-2350 (2005)   DOI   ScienceOn
11 Siebers JV, Kim JO, Ko L, et al: Monte Carlo computation of dosimetric amorphous silicon electronic portal images. Med Phys 317:2135-2146 (2004)
12 Vinall AJ, Williams AJ, Currie VE, et al: Practical guidelines for routine intensity-modulated radiotherapy verification: pre- treatment verification with portal dosimetry and treatment verification with in vivo dosimetry. Br J Radiol 83(995):949-957 (2010)   DOI   ScienceOn