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Multi-Parametric Improvements in the Ccd Camera-Based Epid for Portal Dosimetry Publisher



Nazari V1 ; Mahdavi SR1 ; Mostaar A2 ; Nedaei H3 ; Shirazi MAM4 ; Nikoofar A4 ; Esmailie G5
Authors
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Authors Affiliations
  1. 1. Medical Physics Department, Iran University of Medical Sciences, Hemmat Exp. Way, Tehran, 14496141525, Iran
  2. 2. Medical Physics and Biomedical Engineering Department, Shahid Beheshti University of Medical Sciences, Tehran, Iran
  3. 3. Imam Khomeini Hospital, Tehran University of Medical Sciences, Tehran, Iran
  4. 4. Medical Physics Department, Shiraz University of Medical Sciences, Shiraz, Iran
  5. 5. Radiotherapy Department, Iran University of Medical Sciences, Tehran, Iran

Source: Journal of Medical Signals and Sensors Published:2017


Abstract

Dosimetric verification of radiation treatment has recently been extended by the introduction of electronic portal imaging devices (EPIDs). Detailed dose response specifications of EPID should be addressed prior to any dosimetric application. The present study evaluates improvements of dosimetric properties of the low elbow camera-based EPID Theraview (Cablon Medical, Leusden, The Netherlands) equipped with a cooled charge coupled device (CCD) for portal dosimetry. The dose response, warm-up behavior, stability over long- A nd short-term scales (throughout a day) were studied. The field size dependency of the EPID response was also investigated and compared with ion chamber measurements under the same conditions. The EPID response without saturation for doses up to 2 Gy was linear for both beam qualities (6 and 15 MV). There was no evident warm-up characteristic. The detector sensitivity showed excellent stability in short term [standard deviation (SD) 0.38%]. In long-term stability (over a period of approximately 3 months), a negligible linear decline of 0.01% per day was observed. It was concluded that the cooled CCD camera-based EPID could be used for portal dosimetry, after accurate corrections for the field size dependency and sensitivity loss. © 2017 Journal of Medical Signals and Sensors.