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首页> 外文期刊>Academic radiology >Adaptive statistical iterative reconstruction technique for pulmonary CT: image quality of the cadaveric lung on standard- and reduced-dose CT.
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Adaptive statistical iterative reconstruction technique for pulmonary CT: image quality of the cadaveric lung on standard- and reduced-dose CT.

机译：肺部CT的自适应统计迭代重建技术：标准剂量和减少剂量CT上的尸体肺部图像质量。

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RATIONALE AND OBJECTIVES: To evaluate thin-section computed tomography (CT) images of the lung reconstructed using adaptive statistical iterative reconstruction (ASIR) on standard- and reduced-dose CT. MATERIALS AND METHODS: Eleven cadaveric lungs were scanned by multidetector-row CT with two different tube currents (standard dose, 400 mA; reduced dose, 10 mA). The degree of ASIR was classified into six different levels: 0% (non-ASIR), 20%, 40%, 60%, 80%, and 100% (maximum-ASIR). The ASIR (20%, 60%, and 100%) images were compared with the ASIR (0%) images and assessed visually by three independent observers for image quality using a 7-point scale. The evaluation items included abnormal CT findings, normal lung structures, and subjective visual noise. The median scores assigned by the three observers were analyzed statistically. Quantitative noise was calculated by measuring the standard deviation in a circular region of interest on each selected image of ASIR (0%-100%). RESULTS: On standard-dose CT, the overall image quality significantly improved with increasing degree of ASIR (P
机译：理由和目的：要评估在标准剂量和减少剂量CT上使用自适应统计迭代重建（ASIR）重建的肺的薄层计算机断层扫描（CT）图像。材料与方法：用多排行CT用两种不同的管电流（标准剂量400 mA;减少剂量10 mA）扫描11具尸体肺。 ASIR的等级分为六个不同的级别：0％（非ASIR），20％，40％，60％，80％和100％（最大ASIR）。将ASIR（20％，60％和100％）图像与ASIR（0％）图像进行比较，并由三名独立观察员使用7分制标尺对图像质量进行视觉评估。评估项目包括CT表现异常，肺部结构正常和主观视觉噪声。对三个观察员分配的中位数进行统计分析。通过在每个选定的ASIR图像（0％-100％）上的感兴趣的圆形区域中测量标准偏差来计算定量噪声。结果：在标准剂量的CT上，随着ASIR程度的提高，整体图像质量显着改善（P

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