Application of model-based iterative reconstruction algorithm and contrast-enhancement boost postprocessing technique in CT pulmonary angiography of obese patients
Application of model-based iterative reconstruction algorithm and contrast-enhancement boost postprocessing technique in CT pulmonary angiography of obese patients
叶梅 1邢艳 1侯娟 1赵梓程 2徐敏 2刘文亚1
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作者信息
1. 830054 新疆乌鲁木齐,新疆医科大学第一附属医院影像中心
2. 100015 北京,佳能医疗系统(中国)有限公司
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摘要
目的 比较基于模型迭代重建(MBIR)算法和柔性减影(CE-Boost)技术对提高肥胖患者CT肺动脉造影(CTPA)图像质量的效果.方法 前瞻性分析60例临床疑似肺栓塞(PE)患者的CTPA资料.收集BMI超过25 kg/cm2的患者,分别采用混合迭代重建(HIR)(A组)、MBIR(B组)和CE-Boost(C组).定量评估肺动脉主干、左右肺动脉干CT值、图像噪声、信噪比(SNR)和对比噪声比(CNR).两名放射科医生独立通过Likert 5分量表法对整体图像质量和诊断信心进行主观评分.采用配对样本t检验、Mann-Whitney U检验、单因素方差分析进行统计学分析.结果 C组的CT值明显高于A组及 B 组(P＜0.05),肺动脉主干 CT 值 C 组为(510.87±141.20)HU,A 组为(354.31±93.74)HU,B 组为(350.79±88.43)HU.B组图像噪声明显低于A组及C组(P＜0.05),肺动脉主干噪声B组为16.60±3.03,A组为22.80±2.94,C组为24.63±4.96.B组及C组的肺动脉主干及左右肺动脉干的SNR值及CNR值均高于A组.B组及C组图像主观评分均高于A组,整体图像质量均从4(3,4)分提高到5(4,5)分,诊断信心均从3(3,4)分提高到4(4,5)分(P均＜0.05).在主观分析中,观察者间对于整体图像质量和诊断信心的一致性良好,Kappa值分别为0.874和0.917.结论 CE-Boost技术和MBIR算法均能提高肥胖患者CTPA图像质量.CE-Boost技术在提高远端血管可视化方面具有更大的潜力.
Abstract
Objective To evaluate the effects ofmodel-based iterative reconstruction(MBIR)algorithm and contrast-enhancement boost(CE-boost)postprocessing technique on improving the image quality in CT pulmonary angiography(CTPA)of obese patients.Methods Sixty obese patients with body mass index＞25 kg/cm2 and clinically suspected pulmonary embolism(PE)underwent CTPA examination and were randomly divided into hybrid iterative reconstruction(HIR),MBIR,and CE-boost groups.CT densities,image noise,signal-to-noise ratios(SNR)and contrast-to-noise ratios(CNR)of the main,right and left pulmonary arteries were assessed.Two radiologists independently scored subjectively the overall image quality and diagnostic confidence using the Likert 5-point scale method.Paired sample t test,Mann-Whitney U test and one-way analysis of variance were used for statistical analysis.Results The main pulmonary artery CT densities of CE-boost group[510.87±141.20)H[J]were significantly(P＜0.05)higher than that of HIR[(354.31±93.74)H[J]and MBIR[(350.79±88.43)H[J]groups.The main pulmonary artery image noise in HIR group(16.60±3.03)was significantly(P＜0.05)lower than that in CE-boost(24.63±4.96)and MBIR(22.80±2.94)groups.The SNR and CNR of the main,left and right pulmonary arteries in MBIR and CE-boost groups were higher than those in HIR group.The subjective scores of MBIR and CE-boost groups were higher than that of HIR group with the overall image quality increased from 4(3,4)to 5(4,5),and the diagnostic confidence increased from 3(3,4)to 4(4,5)points(all P＜0.05).In the subjective analysis,there was good inter-observer agreement on overall image quality(κ=0.874)and diagnostic confidence(κ=0.917).Conclusion Both the CE-boost and MBIR methods can improve the image quality of CTPA in obese patients.CE-boost had greater potential in increasing the visualization of distal vessels.
关键词
体层摄影术,X线计算机/肺动脉/血管造影术/肺栓塞/体重指数/图像质量
Key words
Tomography,X-ray computed/Pulmonary artery/Angiography/Pulmonary embolism/Body mass index/Image quality
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