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低剂量自适应统计迭代重建技术对泌尿系统结石图像质量的影响
引用本文:曾剑兵,刘仁伟,方进智,吴志清,梁瑞金,陈熙.低剂量自适应统计迭代重建技术对泌尿系统结石图像质量的影响[J].中国CT和MRI杂志,2020(3):59-61.
作者姓名:曾剑兵  刘仁伟  方进智  吴志清  梁瑞金  陈熙
作者单位:广东省深圳市龙华区人民医院医学影像科
摘    要:目的探讨自适应统计迭代重建技术在低剂量条件下对泌尿系统结石图像质量的影响。方法选取医院2016年1月至2018年1月期间诊治的泌尿系统结石患者88例作研究对象,并按辐射剂量不同予以分组:对照组(n=44)接受常规剂量扫描,研究组(n=44)则接受低剂量扫描;运用不同权重的自适应统计迭代重建技术予以图像重建,就2组患者的图像质量、噪声水平以及辐射剂量差异进行统计学分析。结果①研究组患者应用不同权重的自适应统计迭代重建技术重建图像质量评分均高于对照组(P<0.05);②研究组患者经不同权重自适应统计迭代重建技术重建的图像噪声水平与对照组相比均无统计学差异;③研究组患者平均辐射剂量是(1.7±0.2)mSv,低于对照组的(5.8±1.1)mSv,(P<0.05)。结论自适应统计迭代重建技术能减少图像噪声,使低剂量条件下泌尿系统结石成像成为可能,可在满足诊断要求的前提下明显降低辐射剂量。

关 键 词:自适应统计迭代重建技术  辐射剂量  低剂量  泌尿系统结石  噪声水平  图像质量

The Influence of Adaptive Statistical Iterative Reconstruction Technology on the Image Quality of Urolithiasis Under Low Dose Condition
Institution:(Department of Medical Imaging,Longhua District People's Hospital,Shenzhen 518109,Guangdong Province,China)
Abstract:Objective To explore the influence of adaptive statistical iterative reconstruction technology on the image quality of urolithiasis under low dose condition. Methods A total of 88 urolithiasis patients diagnosed and treated in the hospital from January 2016 to January 2018 were selected as the research objects, and were divided into two groups according to different radiation doses: the control group(n=44) received conventional dose scanning, and the study group(n=44) received low-dose scanning;image reconstruction was carried out by using self-adaptive statistical iterative reconstruction technology with different weights, and the image quality, noise level and radiation dose of the two groups of patients were analyzed. Results ①The image quality score of the study group was statistically higher than that of the control group(P<0.05). ②In the study group, the image noise level reconstructed by different weight adaptive statistics and iterative reconstruction technology had no statistical difference compared with the control group(P>0.05). ③The average radiation dose of the study group was(1.7±0.2) mSv, which was lower than that of the control group(5.8±1.1) mSv(P<0.05). Conclusion Adaptive statistical iterative reconstruction technology can reduce image noise, make it possible to image urolithiasis at low dose, reduce noise and radiation dose on the premise of meeting diagnostic requirements.
Keywords:Adaptive Statistical Iterative Reconstruction Technology  Radiation Dose  Low Dose  Urinary Calculi  Noise Level  Image Quality
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