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合并来自不同扫描仪的容积数据时变异性增加的评估。

Assessment of the increase in variability when combining volumetric data from different scanners.

作者信息

Reig Santiago, Sánchez-González Javier, Arango Celso, Castro Josefina, González-Pinto Ana, Ortuño Felipe, Crespo-Facorro Benedicto, Bargalló Nuria, Desco Manuel

机构信息

Unidad de Medicina y Cirugía Experimental, Hospital General Universitario Gregorio Marañón, Madrid.

出版信息

Hum Brain Mapp. 2009 Feb;30(2):355-68. doi: 10.1002/hbm.20511.

Abstract

In multicenter MRI studies, pooling of volumetric data requires a prior evaluation of compatibility between the different machines used. We tested the compatibility of five different scanners (2 General Electric Signa, 2 Siemens Symphony, and a Philips Gyroscan) at five different sites by repeating the scans of five volunteers at each of the sites. Using a semiautomatic method based on the Talairach atlas, and SPM algorithms for tissue segmentation (multimodal T1 and T2, or T1-only), we obtained volume measurements of the main brain lobes (frontal, parietal, occipital, temporal) and for each tissue type. Our results suggest that pooling of multisite data adds small error for whole brain measurements, intersite coefficient of variation (CV) ranging from 1.8 to 5.2%, respectively, for GM and CSF. However, in the occipital lobe, intersite CV can be as high as 11.7% for WM and 17.3% for CSF. Compared with the intersite, intrasite CV values were always much lower. Whenever possible, T1 and T2 tissue segmentation methods should be used because they yield more consistent volume measurements between sites than T1-only, especially when some of the scans were obtained with different sequence parameters and pixel size from those of the other sites. Our study shows that highest compatibility among scanners would be obtained using equipments of the same manufacturer and also image acquisition parameters as similar as possible. After validation, data from a specific ROI or scanner showing values markedly different from the other sites might be excluded from the analysis.

摘要

在多中心MRI研究中,汇集容积数据需要事先评估所使用的不同机器之间的兼容性。我们通过在五个不同地点重复对五名志愿者进行扫描,测试了五个不同地点的五台不同扫描仪(2台通用电气Signa、2台西门子Symphony和1台飞利浦Gyroscan)的兼容性。使用基于Talairach图谱的半自动方法以及用于组织分割的SPM算法(多模态T1和T2,或仅T1),我们获得了主要脑叶(额叶、顶叶、枕叶、颞叶)以及每种组织类型的体积测量值。我们的结果表明,多地点数据的汇集在全脑测量中增加的误差较小,灰质(GM)和脑脊液(CSF)的地点间变异系数(CV)分别为1.8%至5.2%。然而,在枕叶,白质(WM)的地点间CV高达11.7%,脑脊液的地点间CV高达17.3%。与地点间相比,地点内CV值总是低得多。只要有可能,应使用T1和T2组织分割方法,因为它们在不同地点之间产生的体积测量结果比仅使用T1更一致,特别是当一些扫描是使用与其他地点不同的序列参数和像素大小获得时。我们的研究表明,使用同一制造商的设备以及尽可能相似的图像采集参数可获得扫描仪之间的最高兼容性。经过验证后,来自特定感兴趣区域(ROI)或扫描仪且显示的值与其他地点明显不同的数据可能会被排除在分析之外。

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