CT理论与应用研究2026，Vol.35Issue(2)：212-221,10.DOI:10.15953/j.ctta.2025.133
基于体模图像的虚拟单能成像Mono+技术参数的剂量优化
Radiation Dosage Optimization Based on Phantom Scan Using Virtual Monoenergetic Imaging Mono+Technique
摘要
Abstract
Objective:Exploring the potential of optimizing Mono+technology resolution parameters for the reduction of image noise and radiation dose in virtual monoenergetic imaging(VMI).Methods A computerized tomography(CT)quality control phantom was scanned in energy CT mode at different radiation doses(0.8 to 15.0 mGy).Images were reconstructed from VMI acquisitions at 70 keV using Mono technology and Mono+technology with different resolution parameters(2,6,10).A conventional CT scan was performed at 15.0 mGy,and corresponding images were reconstructed from poly-energetic imaging(PEI).The noise power spectrum(NPS)was used to analyze the image noise characteristics.The relationship between image noise and radiation dose was fitted to estimate the potential of VMI reconstructions using different technologies to reduce scan radiation dose.Results As the radiation dose decreased,the image noise in VMI increased.The images reconstructed from VMI using Mono technology had the highest image noise,whereas those reconstructed using Mono+technology with a resolution parameter of 2 had the lowest image noise.The average and peak spatial frequency values of NPS curves of VMI were close to those of PEI.The images reconstructed from VMI using Mono technology and Mono+technology with resolution parameters of 2,6,and 10 achieved the noise level of PEI with radiation dose reductions of 12.0%,37.3%,23.6%,and 19.8%,respectively.Conclusion Optimizing the resolution settings in Mono+technology has the potential to further reduce radiation dose,with an expected reduction of more than one-third compared to that of conventional CT scans.关键词
X线计算机体层摄影/虚拟单能量成像/图像质量/辐射剂量Key words
X-ray computed tomography/virtual monoenergetic imaging/image quality/radiation dose分类
医药卫生引用本文复制引用
陈黎伟,星月,胡扬帆,许芷菡,宋阳,褚敬申,张欢,姚伟武,钟京谕..基于体模图像的虚拟单能成像Mono+技术参数的剂量优化[J].CT理论与应用研究,2026,35(2):212-221,10.基金项目
国家自然科学基金项目(基于CT增强影像组学联合代谢组学构建急性胰腺炎重症化智能早期预警模型研究(82302183) （基于CT增强影像组学联合代谢组学构建急性胰腺炎重症化智能早期预警模型研究(82302183）
基于注意力-可解释图文信息挖掘创建膝骨关节炎交互式诊断报告系统(82471935) （82471935）
厌氧消化链球菌重塑局部进展期直肠癌免疫微环境及MR预测模型研究(82271934)) （82271934）
上海市卫生健康委员会项目(骨病多模态报告和数据系统(Bone-RADS)规范精准风险评估并优化诊疗管理建议的临床研究(20244 Y0214)) （骨病多模态报告和数据系统(Bone-RADS）
上海市长宁区卫生健康委员会项目(骨报告和数据系统(Bone-RADS)在成人偶发孤立性骨病变CT和MRI诊断及临床管理中的可行性和有效性研究(2023 QN01)). （骨报告和数据系统(Bone-RADS）
