摘要
目的:观察不同级别全模型迭代重建(iterative model reconstruction,IMR)技术对脑部CT图像质量和噪声的影响,找到同等摄影条件下能够取得脑部扫描最佳图像质量的迭代重建级别。方法:回顾性分析2020年1—4月以头晕、头疼等症状到某院急诊就诊,且行头部CT平扫检查的36例患者的临床资料。对36例患者的脑部CT分别采用滤波反投影法(filtered back projection,FBP)、混合迭代重建(iDose4)及IMR-1(level 1)、IMR-2(level 2)和IMR-3(level 3)薄层重建。比较各重建图像脑灰、白质的CT值、噪声[标准差(SD值)]、信噪比(signal-to-noise ratio,SNR)和对比噪声比(contrast-to-noise radio,CNR),并分析图像质量主观评分的差异。数据采用IBM SPSS 21.0软件进行分析。结果:各重建图像CT值差异无统计学意义(F=1.01,P>0.05);SD值和IMR的3组不同级别的CNR值的差异均具有统计学意义(P<0.05),其中SD值依次为FBP>IMR-3>iDose4>IMR-2>IMR-1,CNR值依次为IMR-1>IMR-2>IMR-3;SNR值差异无统计学意义(F=0.99,P=0.42)。图像主观评分为IMR-1<iDode4<FBP<IMR-2<IMR-3,差异有统计学意义(F=289.68,P<0.01)。结论:IMR技术可显著减低脑组织的图像噪声,提高图像质量,以IMR-1效果最佳。
Objective To investigate the effects of different levels of iterative model reconstruction(IMR)techniques on the quality and noise of brain CT images to determine the level of iterative reconstruction to obtain the optimal brain images under the same photographic conditions.Methods The clinical data of 36 patients with symptoms such as dizziness and headache undergoing emergency treatment and brain CT plain scan in some hospital from January to April 2020 were analyzed retrospectively.The 36 patients were reconstructed using filtered back projection(FBP),hybrid iterative reconstruction(iDose4)and IMR-1(level 1),IMR-2(level 2)and IMR-3(level 3)thin-layer reconstruction.All the reconstructed images by different techniques were compared on the CT values,noise(standard deviation(SD)),signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR)of the grey and white matter of the brain,and the differences in subjective scores of image quality were analyzed.IBM SPSS 21.0 software was used for data analysis.Results The differences in CT values of the reconstructed images were not statistically significant(F=1.01,P>0.05);the differences in SD values and CNR values for the three levels of IMR were statistically significant(P<0.05),with SD values in the order of FBP>IMR-3>iDose4>IMR-2>IMR-1 and CNR values in the order of IMR-1>IMR-2>IMR-3;the differences in SNR values were not statistically significant(F=0.99,P=0.42).Image subjective scores were in the order of IMR-1<iDose4<FBP<IMR-2<IMR-3,with statistically significant differences(F=289.68,P<0.01).Conclusion IMR techniques significantly reduce image noise and improve brain CT image quality,of which IMR-1 gains advantages over others.
作者
付永春
江滨
陈红燕
陈绪珠
FU Yong-chun;JIANG Bin;CHEN Hong-yan;CHEN Xu-zhu(Department of Radiology,Beijing Tiantan Hospital,Capital Medical University,Beijing 100070,China;Department of Neuroepidemiology,Beijing Neurosurgical Institute,Beijing 100070,China)
出处
《医疗卫生装备》
CAS
2022年第1期63-66,71,共5页
Chinese Medical Equipment Journal
