Evaluation of statistical methods of image reconstruction through ROC analysis [emission tomography]
Evaluation of statistical methods of image reconstruction through ROC analysis [emission tomography]
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通过 ROC 分析评估图像重建的统计方法 [发射断层扫描]
DOI：
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发表时间：
1992
期刊：
影响因子：
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通讯作者：
H. Barrett
中科院分区：
文献类型：
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作者：
T. A. Gooley;H. Barrett
描述了几种图像重建的统计方法，并通过使用基于人类观察者执行的指定检测任务的接收器工作特征（ROC）分析客观地进行了比较。模拟成像系统是一个用于心脏动态成像的多针孔编码孔径系统，物体代表收缩末期左心室的横截面。任务是检测代表动态壁段的丰富。考虑了13种不同的重构算法。人类观察者对这组重建执行指定的任务，并通过使用ROC分析对结果进行分析。结果表明，利用最大量（准确）先验信息的方法往往表现最好。
Several statistical methods of image reconstruction are described and objectively compared through the use of receiver-operating-characteristic (ROC) analysis based on a specified detection task performed by a human observer. The simulated imaging system is a multiple-pinhole coded-aperture system for dynamic cardiac imaging, and the objects represent cross sections of the left ventricle at end systole. The task is detection of a profusion representing an akinetic wall segment. Thirteen different reconstruction algorithms are considered. Human observers perform the specified task on this set of reconstructions, and the results are analyzed through the use of ROC analysis. The results show that the methods that utilize the largest amount of (accurate) prior information tend to perform the best.