Motion correction of multi-frame PET data in neuroreceptor mapping: Simulation based validation
Motion correction of multi-frame PET data in neuroreceptor mapping: Simulation based validation
复制标题
DOI：
10.1016/j.neuroimage.2009.05.052
复制
发表时间：
2009-10-01
期刊：
影响因子：
5.7
通讯作者：
Reilhac, Anthonin
中科院分区：
文献类型：
--
作者：
Costes, Nicolas;Dagher, Alain;Reilhac, Anthonin
在正电子发射断层摄影扫描期间的患者运动可以以两种方式影响数据分析的准确性：1）在发射数据采集期间发生的运动改变在体素或感兴趣区域（ROI）处测量的时间活动曲线（TAC），并且因此在从动力学建模导出的参数估计中引入误差; 2）发射-透射失配在衰减和散射校正期间引入误差，并且因此在扫描的每个时间帧的放射性分布估计中引入误差。设计一个基于算法的帧重新对齐方法的目的，我们首先进行了调查，旨在优化参数的配准方法，如选择的目标体积和相似性标准。基于这些结果，我们设计了一种新的帧重排策略，在多步算法中使用未校正的重建图像，互相关相似性标准的帧间运动参数的确定和发射传输不匹配的每一帧。本文基于多受试者模拟[C-11]雷氯必利动态PET扫描数据库报告了特征和验证结果，该数据库包含不同幅度和不同发生时间的帧内移动。在区域和基于体素的水平上对所提出的算法的性能进行了评估，以结合潜在的参数图像。(C)2009 Elsevier Inc. All rights reserved.
Patient motion during positron emission tomography scanning can affect the accuracy of the data analysis in two ways: 1) movement occurring during emission data acquisition alters the time activity curves (TACs), measured at a voxel or region of interest (ROI), and hence introduces errors in the parameter estimates derived from kinetic modeling; 2) emission-transmission mismatches introduce errors during attenuation and scatter correction, and hence in the radioactivity distribution estimates for each time frame of the scan. With the aim of designing an algorithm-based frame realignment method, we first conducted investigations that aimed at optimizing the parameters of a coregistration method, such as the choice of the target volume and the similarity criterion. Based on these results we designed a novel frame realignment strategy in a multi-step algorithm using uncorrected reconstructed images, cross-correlation similarity criteria for the determination of inter-frame motion parameters and emission-transmission mismatch for each frame. Features and validation results are reported here based on a multi-subject simulated [C-11]raclopride dynamic PET scan database incorporating intra-frame movements of various magnitudes and with various times of occurrence. Performances of the proposed algorithm were evaluated at regional and voxel-based level for binding potential parametric images. (C) 2009 Elsevier Inc. All rights reserved.