IRIS算法在低剂量肝脏增强CT扫描中的可行性研究

发布时间：2018-04-19 00:32

本文选题：肝脏 + 体层摄影术　；参考：《临床放射学杂志》2015年01期

【摘要】：目的探讨迭代重组(IRIS)算法在低剂量肝脏增强CT扫描中的可行性及应用价值。方法选择100例(男65例,女35例,平均年龄48岁)拟行肝脏三期增强的患者,常规剂量(120 k V)A组58例,采用滤波反投影算法(FBP)重组生成图像A;低剂量(100 k V)B组42例,分别采用FBP生成图像(B1组)及采用IRIS生成图像(B2组),记录A与B两组的剂量长度乘积(DLP)、CT剂量容积指数(CTDI)并比较两组的有效剂量(ED)。计算正常肝脏门脉期的噪声及对比噪声比(CNR),由3名有经验的放射科医师对血管边缘锐利度、图像主观噪声、病灶显示按1~5分评分。采用SPSS 20.0软件包对A、B两组的辐射剂量、图像质量进行统计学分析,检验水准α=0.05。结果低剂量组ED[(1.23±0.32)m Sv]较常规剂量组ED[(2.30±0.73)m Sv]平均降低了46.24%。在3组图像客观噪声值中,B2组(8.85±1.11)较B1组(11.82±1.59)明显降低,不同算法的两组噪声值的差异有显著统计学差异(P0.001),B2组与A组(8.09±1.52)算法无统计学意义(P0.05);CNR分别为B2组(3.94±1.99)、B1组(3.46±2.38)、A组(3.87±2.19),三组均无统计学差异(P0.05);B2组图像各项诊断信息评分与A组无差异(P0.05)。结论 IRIS算法行肝脏增强扫描,可以降低图像噪声,提高CNR,在扫描剂量接近减半的情况下仍可获得满足诊断要求的肝脏增强CT图像。
[Abstract]:Objective to evaluate the feasibility and value of iterative recombination IRIS (IRIS) algorithm in low dose enhanced CT scanning of liver.Methods 100 patients (male 65, female 35, mean age 48) were selected to perform three-phase liver enhancement. 58 patients in group A were treated with conventional dose of 120kV, and 42 patients in group B were treated with FBP- (filter backprojection algorithm), and 42 patients in group B with low dose of 100 kV.The dose length product of group A and group B were recorded, and the effective dose was compared between the two groups.The normal hepatic portal phase noise and contrast noise ratio were calculated. Three experienced radiologists scored the edge sharpness of the blood vessel, the subjective noise of the image and the display of the lesion according to 1 ~ 5 points.The radiation dose and image quality of the two groups were statistically analyzed by SPSS 20.0 software package, and the level of 伪 0.05 was tested.Results Ed in the low dose group [1.23 卤0.32 mSv] was lower than that in the conventional dose group [2.30 卤0.73 mSv].The objective noise value of group B _ 2 was significantly lower than that of group B _ 1 (8.85 卤1.11), while that of group B _ 1 (11.82 卤1.59) was significantly lower than that of group B _ 1.There was significant difference in noise value between two groups. There was no significant difference between group B 2 and group A (P 0.05). The CNR of group B 2 was 3.94 卤1.99 and group A was 3.46 卤2.38. There was no statistical difference among the three groups. There was no significant difference in the scores of diagnostic information between group A and group A. there was no difference in the scores of diagnostic information between group A and group A (P 0.05).Conclusion the IRIS algorithm can reduce the image noise and increase the image noise, and the liver enhanced CT image can be obtained even if the scanning dose is nearly halved.
【作者单位】：华中科技大学同济医学院附属协和医院放射科;
【基金】：国家自然科学基金资助项目(编号:81371661)
【分类号】：R575;R816.5

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