Evaluation of the ICS and DEW scatter correction methods for low statistical content scans in 3D PET
Evaluation of the ICS and DEW scatter correction methods for low statistical content scans in 3D PET
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3D PET 中低统计含量扫描的 ICS 和 DEW 散射校正方法评估
DOI：
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发表时间：
1996
期刊：
影响因子：
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通讯作者：
T. Ruth
中科院分区：
文献类型：
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作者：
V. Sossi;T. Oakes;T. Ruth
已在采集数据（1 M至400 M事件）的广泛统计内容范围内评价了3D PET中积分卷积和双能量窗散射校正方法的性能。散射校正和探测器归一化的顺序也进行了研究。使用体模和人体神经感受器研究，具有以下优点：轴向和径向均匀性、正弦图和图像噪声、对比度准确度和对比度准确度均匀性。这两种散射校正方法在检查的事件数量范围内可靠地执行。散射校正后应用的归一化产生更好的径向均匀性和更少的图像伪影。
The performance of the Integral Convolution and the Dual Energy Window scatter correction methods in 3D PET has been evaluated over a wide range of statistical content of acquired data (1 M to 400 M events). The order in which scatter correction and detector normalization should be applied has also been investigated. Phantom and human neuroreceptor studies were used with the following figures of merit: axial and radial uniformity, sinogram and image noise, contrast accuracy and contrast accuracy uniformity. Both scatter correction methods perform reliably in the range of number of events examined. Normalization applied after scatter correction yields better radial uniformity and fewer image artefacts.