Quantification of accuracy and precision of multi-center DTI measurements: a diffusion phantom and human brain study.
Quantification of accuracy and precision of multi-center DTI measurements: a diffusion phantom and human brain study.
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DOI：
10.1016/j.neuroimage.2011.02.010
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发表时间：
2011-06-01
期刊：
影响因子：
5.7
通讯作者：
Zhong, Jianhui
中科院分区：
文献类型：
--
作者：
Zhu, Tong;Hu, Rui;Qiu, Xing;Taylor, Michael;Tso, Yuen;Yiannoutsos, Constantin;Navia, Bradford;Mori, Susumu;Ekholm, Sven;Schifitto, Giovanni;Zhong, Jianhui
MRI扫描仪系统性能的研究中心间和研究中心内变异性（由于研究中心依赖性和时变变异性）可能对多中心DTI数据的整合产生显著的不良影响。每次采集的准确度和精密度的测量误差决定了部位间和部位内的变异性。在本研究中，在三个研究中心，使用来自同一供应商的MRI扫描仪（配置相似）对相同的各向同性扩散体模和旅行人类志愿者的大脑进行多次扫描。我们通过直接量化每个数据集的准确性和精密度来评估多中心DTI研究的可行性。通过与精心构建的金标准数据集进行比较来量化准确度，而通过野生自举分析来估计精密度（扫描内变异性）。体模和人体数据的结果表明，尽管同一供应商的扫描仪之间的系统性能差异相对较小，但会显著影响DTI测量准确度和精度，从而影响多中心DTI测量集成的有效性。我们的研究结果还强调了DTI特定体模在识别和量化测量误差中的价值，这些测量误差是由于系统性能中的站点依赖性变化，以及其在多中心DTI研究中用于质量保证/质量控制的实用性。此外，我们观察到，通过野生自举分析评估的每次数据采集的扫描内变异性与研究中心间和研究中心内变异性具有相同的幅度。我们建议，通过加权数据集的基础上，其变异性，评估野生自助分析，可以提高数据集的质量。这种方法将提供来自多中心DTI研究的数据集的更有效的整合。
The inter-site and intra-site variability of system performance of MRI scanners (due to site-dependent and time-variant variations) can have significant adverse effects on the integration of multi-center DTI data. Measurement errors in accuracy and precision of each acquisition determine both the inter-site and intra-site variability. In this study, multiple scans of an identical isotropic diffusion phantom and of the brain of a travelling human volunteer were acquired at MRI scanners from the same vendor and with similar configurations at three sites. We assessed the feasibility of multi-center DTI studies by direct quantification of accuracy and precision of each dataset. Accuracy was quantified via comparison to carefully constructed gold standard datasets while precision (the within-scan variability) was estimated by wild bootstrap analysis. The results from both the phantom and human data suggest that the inter-site variation in system performance, although relatively small among scanners of the same vendor, significantly affects DTI measurement accuracy and precision and therefore the effectiveness for the integration of multi-center DTI measurements. Our results also highlight the value of a DTI-specific phantom in identifying and quantifying measurement errors due to site-dependent variations in the system performance, and its usefulness for quality assurance/quality control in multi-center DTI studies. In addition, we observed that the within-scan variability of each data acquisition, as assessed by wild bootstrap analysis, is of the same magnitude as the inter-site and intra-site variability. We propose that by weighing datasets based on their variability, as evaluated by wild bootstrap analysis, one can improve the quality of the dataset. This approach will provide a more effective integration of datasets from multi-center DTI studies.
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