基于全模型迭代算法对腹部CT血管造影图像质量改善探讨  

Preliminary Study on the Improvement of Abdominal CT Angiography Image Quality Based on Forward Projected Model-Based Iterative Reconstruction Solution

作　　者：于克祯 李玲 王国选 尤子珑 张雷[1] 王宏[1] 许英浩 陈涓[1] YU Kezhen;LI Ling;WANG Guoxuan;YOU Zilong;ZHANG Lei;WANG Hong;XU Yinghao;CHEN Juan(Department of Radiology,Beijing Hospital,National Center of Gerontology,Institude of Geriativc,Beijing 100730,China;Canon Medical System(China)Co.,Ltd.,Beijing 100015,China)

机构地区：[1]北京医院国家老年医学中心中国医学科学院老年医学研究院放射科,北京100730 [2]佳能医疗系统(中国)有限公司,北京100015

出　　处：《中国医疗设备》2022年第8期76-80,92,共6页China Medical Devices

摘　　要：目的探讨全模型迭代(Forward Projected Model-Based Iterative Reconstruction Solution,FIRST)算法对腹部CT血管造影的图像质量改善情况。方法回顾性分析于北京医院放射科行腹部CT血管造影检查的患者30例,分别对其图像进行不同算法的重建:滤波反投影算法(Filtered Back Projection,FBP)、混合迭代重建算法(Adaptive Iterative Dose Reduction 3D,AIDR 3D)和FIRST算法,并对3组图像进行最大密度投影后处理。采用单因素方差分析法对腹部主要血管及肌肉的CT值、噪声(Standard Deviation,SD)、信噪比(Signal to Noise Ratio,SNR)和对比噪声比(Contrast to Noise Ratio,CNR)进行对比,主要包括:第12胸椎水平的腹主动脉(Abdominal Aorta,AA)、腹腔干(Celiac Trunk,CT)、肠系膜上动脉(Superior Mesenteric,SMA)、肾动脉(Renal Artery,RA)、肝右动脉(Right Hepatic Artery,RHA)水平;在主观评价方面,由两名工作经验分别为7年及10年以上的放射科技师,通过双盲法按照5分标准进行评估,通过Kappa分析观察者间一致性,并采用Kruskal-Wallis检验分析3组图像之间的差异。结果与FBP组和AIDR 3D组相比,FIRST组中腹腔干、肠系膜上动脉、肾动脉、背景(肌肉)的SNR、CNR值显著升高(P<0.001);3组腹腔干、肠系膜上动脉、肾动脉、肝右动脉、背景(肌肉)的CT值无统计学意义(P>0.05)。在主观评分方面,FIRST组及AIDR 3D组均可满足诊断需要,主观评分均优于FBP组(P<0.05);此外,FIRST组的主观评分显著优于AIDR 3D组(P<0.05)。结论在腹部CT血管造影的重建算法中,与FBP和AIDR 3D相比,FIRST重建算法可以显著改善图像质量。Objective To investigate the application of forward projected model-based iterative reconstruction solution(FIRST)in improving image quality of abdominal CT angiography.Methods A total of 30 patients who underwent abdominal CT angiography(CTA)in Beijing Hospital were retrospectively analyzed.The images were reconstructed by different algorithms,including filtered back projection(FBP),adaptive iterative dose reduction 3D(AIDR 3D)and FIRST,and time maximum density projection was used for postprocessing all the three group of images.The CT values,standard deviation(SD),signal to noise ratio(SNR)and contrast to noise ratio(CNR)of the major abdominal vessels and muscles were compared using one-way ANOVA,which the main vessels included the abdominal aorta(AA),celiac trunk(CT),superior mesenteric artery(SMA),renal artery(RA),and right hepatic artery(RHA)at the level of the 12^(th) thoracic vertebra.Two radiologic technologists(with 7 and 10 years of experience,respectively)double-blind evaluated the imaging quality according to a 5-point criterion,and interobserver agreement was analyzed by Kappa analysis.The Kruskal-Wallis test was used to analyze the differences between the three groups of images.Results SNR and CNR values of the CT,SMA,RA,and background(muscle)were significantly higher in the FIRST group compared with the FBP and AIDR 3D groups(P<0.001).There was no significant difference among the three groups in CT values of the CT,SMA,RA,RHA,and background(muscle)(P>0.05).For subjective scores,both the FIRST group and the AIDR 3D group met the diagnostic needs,and the subjective scores were better than those of the FBP group(P<0.05).Moreover,the subjective scores of the FIRST group were significantly better than those of the AIDR 3D group(P<0.05).Conclusion The FIRST reconstruction algorithm can significantly improve the image quality when compared with FBP and AIDR 3D.

关 键 词：腹部CT血管造影 全模型迭代算法 混合迭代算法 图像质量 

分 类 号：R816[医药卫生—放射医学]