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Assessment of the Characteristics of a MV Planar Image Acquired Using a Commercial TFT kV Imaging Detector
New Phys.: Sae Mulli 2020; 70: 327~334
Published online April 29, 2020;
© 2020 New Physics: Sae Mulli.

Wooseok KIM1, Eng Chan KIM2, Young Kee OH3, Kyoung Won JANG4, Dong Hyeok JEONG4, Sang Koo KANG4, Manwoo LEE4, Hyunsoo JANG5, Jonggeun BAEK5*

1Department of Physics, Yeungnam University, Gyeongsan 38541, Korea
2Department of Physics, Yeungnam University, Gyeongsan 38541, Korea
3Department of Radiation Oncology, Keimyung University College of Medicine, Daegu 41931, Korea
4Research Center, Dongnam Institute of Radiological Medical Sciences, Busan 46033, Korea
5Department of Radiation Oncology, Dongguk University Gyeongju Hospital, Gyeongju 38067, Korea
Correspondence to:
Received December 5, 2019; Revised January 21, 2020; Accepted February 1, 2020.
cc This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
The purpose of this study was to apply a commercial TFT-kV detector to megavolt (MV) photon beams to obtain optimized images and to evaluate their feasibility for was an LINAC imaging devices. MV-QA phantom images were acquired by using a kV detector at various doses, dose rates, detection times, and source-imager distances to optimize the kV detector for 6 MV X-rays. The spatial resolution, contrast, uniformity and noise of the MV-QA phantom image were analyzed to obtain the optimization conditions for the kV detector. The optimized conditions were 1 MU, 300 MU/min, 2 s, and 150 cm SID. The kV detector images acquired under the optimized conditions were compared with the MV-EPID images. The images obtained by using both imaging detectors showed similar spatial resolutions, contrasts, and uniformities. On the other hand, the noise of the kV detector image was nine times lower than that of MV-EPID image, resulting in better image quality. Based on these results, the TFT-kV detector might be applicable as an imaging device for LINAC.
PACS numbers: 87.56.Da, 87.57.$-$s
Keywords: TFT-kV detector, EPID, Portal image, Image quality

May 2020, 70 (5)
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