| Li Chenguang,Niu Tianye,Zhou Li,Deng Jun,Zou Chengyuan,Li Sha,Liu Hongjia,Dong Zhengkun,Hua Ling,Pu Yichen,Qu Liangzi,Li Qiao,Zhang Yibao.Two decomposition algorithms of dual-energy cone beam CT and their dependence on the phantom sizes[J].Chinese Journal of Radiological Medicine and Protection,2022,42(4):269-276 |
| Two decomposition algorithms of dual-energy cone beam CT and their dependence on the phantom sizes |
| Received:December 06, 2021 |
| DOI：10.3760/cma.j.cn112271-20211206-00471 |
| KeyWords:Dual-energy cone beam CT|Image-domain decomposition|Image quality|Image guided radiotherapy |
| FundProject:北京市自然科学基金（Z210008）；国家重点研发计划（2019YFF01014405）；国家自然科学基金（11505012，11905150，82073333）；北京大学肿瘤医院科学研究基金学科骨干项目（2021-1）；北大百度基金资助项目（2020BD029）；北京大学医学部教育教学研究立项项目（2020YB34）；恶性肿瘤发病机制及转化研究教育部/北京市重点实验室开放基金（2022开放-2） |
| Author Name | Affiliation | E-mail | | Li Chenguang | Institute of Medical Technology, Peking University Health Science Center, Beijing 100191, China | | | Niu Tianye | Shenzhen Bay Laboratory, Shenzhen 518118, China | | | Zhou Li | Department of Radiation Oncology, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, China | | | Deng Jun | Department of Therapeutic Radiology, Yale University School of Medicine, New Haven 06511, USA | | | Zou Chengyuan | People's Hospital of Deyang City, Deyang 618000, China | | | Li Sha | Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China | | | Liu Hongjia | Institute of Medical Technology, Peking University Health Science Center, Beijing 100191, China | | | Dong Zhengkun | Institute of Medical Technology, Peking University Health Science Center, Beijing 100191, China | | | Hua Ling | Institute of Medical Technology, Peking University Health Science Center, Beijing 100191, China | | | Pu Yichen | Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China | | | Qu Liangzi | Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China | | | Li Qiao | People's Hospital of Deyang City, Deyang 618000, China | | | Zhang Yibao | Institute of Medical Technology, Peking University Health Science Center, Beijing 100191, China | zhangyibao@pku.edu.cn |
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| Abstract:: |
| Objective To analyze the effects of two decomposition algorithms of dual-energy cone beam CT (DECBCT) (direct decomposition and iterative decomposition) on the image quality and material decomposition accuracy of different sizes of phantoms.Methods Different sizes of imaging parts of patients were simulated using the combination of CatPhan604 phantoms and customized annuluses. CBCT with high energy of 140 kVp and low energy of 100 kVp were acquired using the Varian Edge CBCT system. Then the material decomposition of DECBCT images was performed using the two algorithms. The electron density (ED) and contrast-to-noise ratio (CNR) of each material in the CTP682 module were calculated. They were used to assess the decomposition accuracy and image quality of the two algorithms.Results Based on the values in the Catphan604 manual, both algorithms have high ED accuracy. Only the ED accuracy of four materials of the smallest sized phantom showed statistical difference (z=-4.21, 4.30, 2.87, 5.45, P < 0.05), but the average relative error was less than 1%. The CNR of the iterative decomposition algorithm was significantly higher than that of the direct decomposition, increasing by 51.8%-703.47%. The increase in the phantom size significantly reduced the accuracy of ED, and the increased amplitude of the relative error was up to a maximum of 2.52%. The large phantom size also reduced the image quality of iterative decomposition, and the decreased amplitude of CNR was up to a maximum of 39.71.Conclusions Compared with the direct decomposition, the iterative decomposition algorithm can significantly reduce the image noise and improve the contrast without losing the accuracy of electron density in the DECBCT construction of different sizes of phantoms. |
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