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Hybrid modality dual-energy imaging aggregating complementary advantages of kV-CT and MV-CBCT: concept proposal and clinical validation

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机构: [1]Department of Engineering Physics, Tsinghua University, Haidian District, Beijing, P. R. China, Beijing, Beijing, 100084, CHINA. [2]Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital & Institute, Beijing Cancer Hospital & Institute, Beijing, China, 38 Xueyuan Rd , Haidian District,Beijing,China, Beijing, 100142, CHINA. [3]Institute of Medical Technology, Peking University Health Science Center, 38 Xueyuan Rd , Haidian District,Beijing,China, Beijing, 100191, CHINA. [4]Deyang People's Hospital, Taishan North Road, Deyang City, Deyang, Sichuan, 618000, CHINA. [5]Department of Health Technology and Informatics, The Hong Kong Polytechnic University,Hong Kong Special Administrative Region of China 999077, People’s Republic of China
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关键词: dual-energy imaging MV-CBCT IGRT material decomposition metal artifacts

摘要:
Megavoltage cone-beam CT (MV-CBCT) is advantageous in metal artifact reduction during Image-Guided Radiotherapy (IGRT), although it is limited by poor soft tissue contrast. This study proposed and evaluated a novel hybrid modality dual-energy (DE) imaging method combining the complementary advantages of kV-CT and MV-CBCT.
Approach: The kV-CT and MV-CBCT images were acquired on a planning CT scanner and a Halcyon linear accelerator respectively. After rigid registration, images of basis materials were generated using the iterative decomposition method in the volumetric images. The decomposition accuracy was quantitatively evaluated on a Gammex 1472 phantom. The performance of contrast enhancement and metal artifact reduction in virtual monochromatic images were evaluated on both phantom and patient studies.
Main results: Using the proposed method, the mean percentage errors for RED and SPR were 0.90% and 0.81%, outperforming the clinical single-energy mapping method with mean errors of 1.28% and 1.07%, respectively. The contrasts of soft-tissue insets were enhanced by a factor of 2~3 at 40 keV compared to kV-CT. The standard deviation in the metal artifact area was reduced by ~67%, from 42 HU (kV-CT) to 14 HU (150 keV monochromatic). The head and neck patient test showed that the percent error of soft-tissue RED in the metal artifact area was reduced from 18.1% (HU-RED conversion) to less than 1.0% (the proposed method), which was equivalent to the maximum dosimetric difference of 28.7% based on the patient-specific plan.
Significance: Without hardware modification or extra imaging dose, the proposed hybrid modality method enabled kV-MV DE imaging, providing improved accuracy of quantitative analysis, soft-tissue contrast and metal artifact suppression for more accurate IGRT.&#xD.© 2024 Institute of Physics and Engineering in Medicine. All rights, including for text and data mining, AI training, and similar technologies, are reserved.

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出版当年[2023]版:
大类 | 3 区 医学
小类 | 3 区 工程:生物医学 3 区 核医学
最新[2023]版:
大类 | 3 区 医学
小类 | 3 区 工程:生物医学 3 区 核医学
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第一作者机构: [1]Department of Engineering Physics, Tsinghua University, Haidian District, Beijing, P. R. China, Beijing, Beijing, 100084, CHINA.
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通讯机构: [2]Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital & Institute, Beijing Cancer Hospital & Institute, Beijing, China, 38 Xueyuan Rd , Haidian District,Beijing,China, Beijing, 100142, CHINA. [3]Institute of Medical Technology, Peking University Health Science Center, 38 Xueyuan Rd , Haidian District,Beijing,China, Beijing, 100191, CHINA.
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