Empirical optimization of ASL data analysis using an ASL data processing toolbox:: ASLtbx
Empirical optimization of ASL data analysis using an ASL data processing toolbox:: ASLtbx
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DOI：
10.1016/j.mri.2007.07.003
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发表时间：
2008-02-01
影响因子：
2.5
通讯作者：
Detre, John A.
中科院分区：
文献类型：
--
作者：
Wang, Ze;Aguirre, Geoffrey K.;Detre, John A.
动脉自旋标记（ASL）灌注fMRI数据在重要方面不同于更熟悉的血氧水平依赖（BOLD）fMRI数据，需要特定的处理策略。在本文中，我们研究了可能影响ASL数据分析的几个因素，包括数据存储位分辨率，运动校正，脑血流量（CBF）计算和滋扰协变量建模的预处理。连续ASL数据收集在3 T从10名受试者，而他们进行了一个简单的感觉运动任务的时间长度为48秒。然后使用上述因素的系统变化来分析这些数据，以确定产生任务激活的最佳信号检测的方法。发现在3T下使用至少10位进行数据存储的统计功效的改进。单纯减影与正弦减影在运动皮层的差异无显著性，单纯减影在运动皮层的差异虽小，但有显著性（P
Arterial spin labeling (ASL) perfusion fMRI data differ in important respects from the more familiar blood oxygen level-dependent (BOLD) fMRI data and require specific processing strategies. In this paper, we examined several factors that may influence ASL data analysis, including data storage bit resolution, motion correction, preprocessing for cerebral blood flow (CBF) calculations and nuisance covariate modeling. Continuous ASL data were collected at 3 T from 10 subjects while they performed a simple sensorimotor task with an epoch length of 48 s. These data were then analyzed using systematic variations of the factors listed above to identify the approach that yielded optimal signal detection for task activation. Improvements in statistical power were found for use of at least 10 bits for data storage at 3 T. No significant difference was found in motor cortex regarding using simple subtraction or sinc subtraction, but the former presented minor but significantly (P