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首页> 外文期刊>AJR: American Journal of Roentgenology : Including Diagnostic Radiology, Radiation Oncology, Nuclear Medicine, Ultrasonography and Related Basic Sciences >Image Quality Assessment of Standard- and Low-Dose Chest CT Using Filtered Back Projection, Adaptive Statistical Iterative Reconstruction, and Novel Model-Based Iterative Reconstruction Algorithms.
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Image Quality Assessment of Standard- and Low-Dose Chest CT Using Filtered Back Projection, Adaptive Statistical Iterative Reconstruction, and Novel Model-Based Iterative Reconstruction Algorithms.

机译：标准和低剂量胸部CT的图像质量评估，包括滤波后向投影，自适应统计迭代重建和基于模型的新型迭代重建算法。

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The purpose of this article is to compare image quality between filtered back projection (FBP), adaptive statistical iterative reconstruction (ASIR), and model-based iterative reconstruction (MBIR) at standard dose and two preselected low-dose scans.Thirty patients (16 men and 14 women; mean age, 67 years) were prospectively recruited. Patients underwent three scans (one standard-dose scan and two low-dose scans at noise indexes [NIs] of 33, 60, and 70, respectively). All three scans were reconstructed with FBP, ASIR, and MBIR. Objective and subjective image qualities were compared. Dose-length products and effective doses for each scans were recorded. Mean image noise and attenuation values were compared between different reconstruction algorithms using repeated-measures analysis of variance and paired Student t tests. The interobserver variation between the two radiologists for subjective image quality and lesion assessment was estimated by using weighted kappa statistics.Objective image analysis supports significant noise reduction with low-dose scans using the MBIR technique (p < 0.05). There was no significant change in mean CT numbers between different reconstructions (p > 0.05). Subjective analysis reveals no significant difference between image quality and diagnostic confidence between low-dose MBIR scans compared with standard-dose scans reconstructed using ASIR (p > 0.05). Average effective doses were 3.7, 1.2, and 0.9 mSv for standard scans at NIs of 33, 60, and 70, respectively.MBIR shows superior noise reduction and improved image quality. Substantial dose reduction can be achieved by increasing the NI parameters as tested in this study without affecting image quality and diagnostic confidence.
机译：本文的目的是比较标准剂量和两次预选的低剂量扫描的滤波反投影（FBP），自适应统计迭代重建（ASIR）和基于模型的迭代重建（MBIR）之间的图像质量.30例患者（16预期招募了男性和14名女性;平均年龄67岁）。患者接受了三次扫描（一次标准剂量扫描和两次低剂量扫描，噪声指数[NIs]分别为33、60和70）。使用FBP，ASIR和MBIR重建所有三个扫描。比较了客观和主观图像质量。记录每次扫描的剂量长度乘积和有效剂量。使用方差的重复测量分析和成对的Student t检验，比较了不同重建算法之间的平均图像噪声和衰减值。两位放射科医生在主观图像质量和病变评估之间的观察者间差异是通过加权kappa统计量估算得出的。客观图像分析支持使用MBIR技术通过低剂量扫描显着降低噪声（p <0.05）。不同重建之间的平均CT数没有显着变化（p> 0.05）。主观分析显示，与使用ASIR重建的标准剂量扫描相比，低剂量MBIR扫描之间的图像质量和诊断置信度之间无显着差异（p> 0.05）。在NI分别为33、60和70的标准扫描下，平均有效剂量分别为3.7、1.2和0.9 mSv.MBIR显示出优异的降噪效果和改善的图像质量。可以通过增加本研究中测试的NI参数来大幅降低剂量，而不会影响图像质量和诊断置信度。

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