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Rapid Assessment of Parametric PET Images with Computer Observers

机译:用计算机观察员快速评估参数宠物图像

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The theoretical formulae based only on computable first and second-order reconstruction statistics have recently been proposed in literature as a relatively rapid method to evaluate relevant figures of merit. In this paper, we extend the theoretical assessment approach from static to dynamic PET images. We consider a detection task of a SEK/BKE and variable signal location. The extended theoretical tools can accommodate different forms of spatial-temporal processing as well as model observer. The quality of single parametric image resulted from two forms of popular temporal processing is assessed and compared. Our theoretical results reveal that the FOM of applying computer observers on a single static image is inferior to that of on the parametric image obtained by Patlak analysis of multiple frame dynamic PET under certain condition.
机译:最近在文献中提出了仅基于可计算的第一和二阶重建统计数据的理论公式作为评估相关数字的绩效的相对快速的方法。在本文中,我们将理论评估方法从静态到动态宠物图像扩展。我们考虑SEK / BKE和可变信号位置的检测任务。扩展的理论工具可以适应不同形式的空间 - 时间处理以及型号观察者。评估并比较了由两种形式的流行时间处理产生的单个参数图像的质量。我们的理论结果表明,在单个静态图像上应用计算机观察者的FOM不如通过在某些条件下对多帧动态宠物的Patlak分析获得的参数图像上的参数图像。

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