摘要
目的 探讨能谱CT单能量成像技术联合自适应迭代重建算法在早期胃癌诊断中的价值。方法前瞻性收集河南科技大学第一附属医院经胃镜诊断为胃癌患者25例。采用Revolution CT对患者行能谱扫描,将所有扫描结果行FBP、40-100ke V 7组单能量重建,测量动、静脉期各患者肿瘤病灶的对比噪声比(CNR),信噪比(SNR),按照评分标准进行图像质量主观评分;选出图像质量组分别与10%-100%ASIR联合进行重建,测量动、静脉相同部位肿瘤病灶的对比噪声比(CNR),信噪比(SNR),按照评分标准进行图像质量主观评分。结果 70ke V联合50%ASIR组图像CNR、SNR及主观评分高于其他组,差异有统计学意义。结论 使用70 ke V单能量联合50%ASIR重建可以得到质量优异的CT图像,可为临床诊断提供有效的信息。
Objective To investigate the value of energy spectrum CT single energy imaging combined with ASIR in early diagnosis of gastric cancer.Methods Twenty-five patients with gastric cancer diagnosed by gastroscopy in the first Affiliated Hospital of Henan University of Science and Technology were prospectively collected.Energy spectrum scan of patients was performed with Revolution CT,and all scan results were reconstructed with FBP and 7-group single energy reconstruction of 40-100keV.The contrast noise ratio(CNR)and signal to noise ratio(SNR)of tumor lesions of patients in the arteriovenous and arteriovenous stages were measured,and subjective image quality was scored according to the scoring criteria.The image quality groups were selected and combined with 10%-100%ASIR for reconstruction,respectively,to measure the contrast noise ratio(CNR)and signal to noise ratio(SNR)of tumor lesions at the same location of artery and vein.Subjective image quality was scored according to the scoring criteria.Results CNR,SNR and subjective score of 70keV combined with 50%ASIR group were higher than those of other groups,and the difference was statistically significant.Conclusion CT images of excellent quality can be obtained by using 70 keV single energy combined with 50%ASIR,which can provide effective information for clinical diagnosis.
作者
李思琪
陈殿森
陈望
许鑫鑫
LI Si-qi;CHEN Dian-sen;CHEN Wang;Xu Xin-xin(Department of Radiology,The First Affiliated Hospital of Henan University of Science and Technology,Luoyang 471000,Henan Province,China)
出处
《中国CT和MRI杂志》
2023年第4期122-124,共3页
Chinese Journal of CT and MRI
基金
河南省医学科技攻关计划项目(LHCJ20210891)。
关键词
胃癌
图像质量
单能量成像
自适应迭代重建算法
Gastric Cancer
Image Quality
Single Energy Imaging
Adaptive Iterative Reconstruction Algorithm
