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Comparison between human and model observer performance in low-contrast detection tasks in CT images: Application to images reconstructed with filtered back projection and iterative algorithms

机译：CT图像中低对比度检测任务中人与模型观察者表现的比较：应用于滤波反投影和迭代算法重建的图像

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10.1259/bjr.20140014

机译：10.1259 / bjr.20140014

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Hernandez-Giron, I.; Calzado, A.; Geleijns, J.; Joemai, R.M.S.; Veldkamp, W.J.H.;
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1. Comparison between human and model observer performance in low-contrast detection tasks in CT images: application to images reconstructed with filtered back projection and iterative algorithms. [J] . I Hernandez-Giron, A Calzado, J Geleijns, British Journal of Radiology . 2014,第1039期

机译：人类和模型观察者在CT图像低对比度检测任务中的性能比较：应用于过滤后投影和迭代算法重建的图像。
2. Renal Cyst Pseudoenhancement: Intraindividual Comparison Between Virtual Monochromatic Spectral Images and Conventional Polychromatic 120-kVp Images Obtained During the Same CT Examination and Comparisons Among Images Reconstructed Using Filtered Back Projection, Adaptive Statistical Iterative Reconstruction, and Model-Based Iterative Reconstruction [J] . Yamada Yoshitake, Yamada Minoru, Sugisawa Koichi, Medicine. . 2015,第15期

机译：肾囊肿假性增强：在同一CT检查期间获得的虚拟单色光谱图像与常规多色120kVp图像之间的个体比较，以及使用滤波反投影，自适应统计迭代重建和基于模型的迭代重建重建的图像之间的比较
3. Renal Cyst Pseudoenhancement: Intraindividual Comparison Between Virtual Monochromatic Spectral Images and Conventional Polychromatic 120-kVp Images Obtained During the Same CT Examination and Comparisons Among Images Reconstructed Using Filtered Back Projection, Adaptive Statistical Iterative Reconstruction, and Model-Based Iterative Reconstruction [J] . Yamada Yoshitake, Yamada Minoru, Sugisawa Koichi, Medicine. . 2015,第15期

机译：肾囊肿假性增强：在同一CT检查期间获得的虚拟单色光谱图像与常规多色120kVp图像之间的个体比较，以及使用滤波反投影，自适应统计迭代重建和基于模型的迭代重建重建的图像之间的比较
4. Characteristics of Proton CT Images Reconstructed with Filtered Backprojection and Iterative Projection Algorithms [C] . Scott N. Penfold, Reinhard W. Schulte, Yair Censor, IEEE Nuclear Science Symposium Conference . 2009

机译：用滤波反射和迭代投影算法重建质子CT图像的特征
5. Comparison of two human detection algorithms that apply Bayesian and Neyman-Pearson test criteria using infrared images. [D] . Laryea, Henry. 2008

机译：比较两种使用红外图像应用贝叶斯和Neyman-Pearson测试标准的人体检测算法。
6. Comparison between human and model observer performance in low-contrast detection tasks in CT images: application to images reconstructed with filtered back projection and iterative algorithms [O] . I Hernandez-Giron, A Calzado, J Geleijns, 2014

机译：人类和模型观察者在CT图像低对比度检测任务中的性能比较：应用于过滤后投影和迭代算法重建的图像
7. Erratum to: Impact of model-based iterative reconstruction on low-contrast lesion detection and image quality in abdominal CT: a 12-reader-based comparative phantom study with filtered back projection at different tube voltages [O] . André Euler, Bram Stieltjes, Zsolt Szucs-Farkas, 2017

机译：误解：基于模型的迭代重建对腹部CT的低对比度病变检测和图像质量的影响：基于12读者的比较幻像在不同管电压下滤波后投影的研究

Comparison between human and model observer performance in low-contrast detection tasks in CT images: Application to images reconstructed with filtered back projection and iterative algorithms

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