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        Adaptation of Filtered Back-Projection to Compton Imaging with Non-Uniform Azimuthal Geometry

        Hyounggun Lee,Taewoong Lee,Wonho Lee 한국물리학회 2016 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.68 No.10

        For Compton image reconstruction, analytic reconstruction methods such as filtered backprojection have been used for real-time imaging. The conventional filtered back-projection method assumes a uniformly distributed azimuthal response in the detector system. In this study, we applied filtered back-projection to the experimental data from detector systems with limited azimuthal angle coverage ranges and estimated the limitations of the analytic reconstruction methods when applied to these systems. For the system with a uniform azimuthal response, the images reconstructed by using filtered back-projection showed better angular resolutions than the images obtained by using simple back-projection did. However, when filtered back-projection was applied to reconstruct Compton images based on measurements performed by using Compton cameras with limited response geometries, the reconstructed images exhibited artifacts caused by the geometrical limitations. Our proposed method employs the Compton camera’s rotation to overcome the angular response limitations; when the rotation method was applied in this study, the artifacts in the reconstructed images caused by angular response limitations were minimized. With this method, filtered back-projection can be applied to reconstruct real-time Compton images even when the radiation measurements are performed by using Compton cameras with non-uniform azimuthal response geometries.

      • SCISCIESCOPUSKCI등재

        Evaluation of the Monte Carlo method (KTMAN-2) in fluoroscopic dosimetry and comparison with experiment

        Kim, Minho,Lee, Hyounggun,Kim, Hyosim,Park, Hongmin,Lee, Wonho,Park, Sungho 한국물리학회 2014 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol. No.

        This study evaluated the Monte Carlo method for determining the dose calculation in fluoroscopy by using a realistic human phantom. The dose was calculated by using Monte Carlo N-particle extended (MCNPX) in simulations and was measured by using Korean Typical Man-2 (KTMAN-2) phantom in the experiments. MCNPX is a widely-used simulation tool based on the Monte-Carlo method and uses random sampling. KTMAN-2 is a virtual phantom written in MCNPX language and is based on the typical Korean man. This study was divided into two parts: simulations and experiments. In the former, the spectrum generation program (SRS-78) was used to obtain the output energy spectrum for fluoroscopy; then, each dose to the target organ was calculated using KTMAN-2 with MCNPX. In the latter part, the output of the fluoroscope was calibrated first and TLDs (Thermoluminescent dosimeter) were inserted in the ART (Alderson Radiation Therapy) phantom at the same places as in the simulation. Thus, the phantom was exposed to radiation, and the simulated and the experimental doses were compared. In order to change the simulation unit to the dose unit, we set the normalization factor (NF) for unit conversion. Comparing the simulated with the experimental results, we found most of the values to be similar, which proved the effectiveness of the Monte Carlo method in fluoroscopic dose evaluation. The equipment used in this study included a TLD, a TLD reader, an ART phantom, an ionization chamber and a fluoroscope.

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        방사선치료를 위한 영상장비의 선량 및 영상 평가

        이형건,윤창연,김태준,김동욱,정원규,박성호,이원호,Lee, Hyounggun,Yoon, Changyeon,Kim, Tae Jun,Kim, Dongwook,Chung, Weon Kyu,Park, Sung Ho,Lee, Wonho 한국의학물리학회 2012 의학물리 Vol.23 No.4

        최근 방사선치료 분야에 있어서 환자 선량이 중요한 쟁점이 되고 있다. 선량 감소를 위해 선진 기술을 이용한 방사선치료 시 사용하는 진단영상 장비에 대한 평가가 이루어져야 한다. 특히 CT는 방사선치료 분야에서 널리 사용되는 영상 장비이며, 본 연구에서는 CT의 선량과 영상에 대한 평가를 실시하였다. 선량과 영상을 동시에 비교할 수 있도록 동일한 조건 하에서 평가를 실시하였다. 또한 몬테카를로 시뮬레이션 툴인 MCNPX를 이용한 선량과 영상 평가가 가능하다는 것을 확인하였다. 저 선량 CT 영상의 질을 향상시키기 위하여 MLEM기법을 이용한 반복적 영상재구성 기법을 구축하였다. 본 연구의 평가 방법을 통해 방사선 치료 분야에서의 환자 선량을 줄이는 것뿐만 아니라 산업 연구 분야에서의 영상장비들의 총체적인 평가가 가능할 것이다. The patient dose in advanced radiotherapy techniques is an important issue. These methods should be evaluated to reduce the dose in diagnostic imaging for radiotherapy. Especially, the Computed Tomography in radiotherapy has been used widely; hence the CT was evaluated for dose and image in this study. The evaluations for dose and image were done in equal condition due to compare the dose and image simultaneously. Furthermore, the possibility of dose and image evaluations by using the Monte Carlo simulation MCNPX was confirmed. We made the iterative reconstruction for low dose CT image to elevate image quality with Maximum Likelihood Expectation Maximization; MLEM. The system we developed is expected to be used not only to reduce the patient dose in radiotherapy, also to evaluate the overall factors of image modalities in industrial research.

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