摘要
目的探讨基于全模型的新型迭代重建技术(IMR)显示冠状动脉非钙化粥样硬化斑块的应用价值。资料与方法回顾性分析2016年8-12月经冠状动脉CT血管成像(CTA)显示冠状动脉非钙化斑块或非钙化为主的硬化斑块的图像,并进行混合迭代重建技术(iDose)和IMR重建,测量图像噪声、主动脉根部、右冠状动脉和前降支中段、回旋支近段、冠状动脉非钙化斑块及斑块周围脂肪组织的CT值,比较两种重建技术的图像噪声、主动脉根部、冠状动脉及冠状动脉粥样硬化斑块的信噪比,以及各感兴趣区与周围脂肪组织的对比噪声比。结果纳入47例成年患者,共55个非钙化或非钙化为主的粥样硬化斑块。IMR组的图像噪声低于iDose组(10±2比12±2,t=-8.5,P<0.01),而主动脉根部、右冠状动脉和前降支中段、回旋支近段及冠状动脉粥样硬化斑块的信噪比,以及各感兴趣区与周围脂肪组织的对比噪声比均高于iDose组,差异有统计学意义(P均<0.01)。结论与iDose相比,IMR重建算法可以显著降低图像噪声,提高图像质量,更清晰地显示冠状动脉非钙化粥样硬化斑块。
Purpose To explore the application value of new iterative model reconstruction(IMR)to display the non-calcified atherosclerotic plaques of coronary arteries.Materials and Methods Images of non-calcified plaques or non-calcified atherosclerotic plaques which was indicated by coronary CT angiography(CTA)were retrospectively analyzed and mixed iterative reconstruction technique(iDose)and IMR reconstruction were offered to measure CT value of image noise,aortic root,right coronary arteries and anterior descending branch,CXP,non-calcified atherosclerotic plaques of coronary arteries and peripheral adipose tissues of plaques.Signal noise ratio of image noise,aortic root,coronary arteries and atherosclerotic plaques of coronary arteries in the two reconstruction technologies and contrast noise ratio of each region of interest and peripheral adipose tissues were compared.Results In the 47 adult patients,there were totally 55 non-calcified or non-calcified atherosclerotic plaques.Image noise in IMR group was lower than that in iDose group(10±2 vs.12±2,t=-8.5,P<0.01).However,signal noise ratio of aortic root,right coronary arteries,anterior descending branch,CXP and atherosclerotic plaques of coronary arteries and contrast noise ratio of each region of interest and peripheral adipose tissues were all higher than that in iDose group(all P<0.01).Conclusion Compared with iDose,IMR reconstruction algorithm could greatly reduce image noise,improve image quality and more clearly indicate non-calcified atherosclerotic plaques of coronary arteries.
作者
唐田
李涛
杨立
李雪萍
罗春材
黄自立
TANG Tian;LI Tao;YANG Li;LI Xueping;LUO Chuncai;HUANG Zili(Department of Radiology,Chinese PLA General Hospital,Beijing 100853,China)
出处
《中国医学影像学杂志》
CSCD
北大核心
2018年第10期758-762,共5页
Chinese Journal of Medical Imaging
基金
国家重点研发计划(2016YFC1300300)
国家自然科学基金(81371547)