Multi-parametric neuroimaging reproducibility: a 3-T resource study.

Multi-parametric neuroimaging reproducibility: a 3-T resource study.
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DOI:
10.1016/j.neuroimage.2010.11.047
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发表时间:
2011-02-14
期刊:
影响因子:
5.7
通讯作者:
van Zijl PC
van Zijl PC
中科院分区:
医学1区
文献类型:
--
作者:
Landman BA;Huang AJ;Gifford A;Vikram DS;Lim IA;Farrell JA;Bogovic JA;Hua J;Chen M;Jarso S;Smith SA;Joel S;Mori S;Pekar JJ;Barker PB;Prince JL;van Zijl PC

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现代MRI图像处理方法已经对人脑进行了定量、形态、功能和结构评估。这些分析通常利用针对特定成像目标的精心优化的协议。算法研究人员有几个优秀的公共数据资源可用于测试,开发和优化他们的方法。最近,在多参数研究中越来越多地关注MRI方案的结合。值得注意的是,这些方法包括将连接性推断与功能和/或解剖特征融合的创新方法。然而,这些有趣的和新的方法的再现性的验证已严重阻碍了适当的多参数数据的有限可用性。我们提出了一种成像协议优化,包括国家的最先进的评估脑功能,结构,微架构,和定量参数在临床上可行的60分钟的协议上的3 T MRI扫描仪。我们提出了这些成像对比度的扫描再扫描再现性的基础上21名健康志愿者(11男/10女,22-61岁)。皮质灰质、皮质白色物质、脑室脑脊液、丘脑、壳核、尾状核、小脑灰质、小脑白色物质和脑干被鉴定,平均体积再现性为3.5%。我们将感兴趣区域方法中每种对比的平均强度、变异性和再现性制成表格,这对于前瞻性研究计划和回顾性功效分析考虑至关重要。解剖结构在结构采集上高度一致(~1-5%的变异性),而扩散和其他几种定量扫描的变异性更高(~<10%)。某些序列在特定结构(ASL在大脑白色物质中表现出28%的变化)或薄结构(在尾状核中定量T2变化高达73%)中特别可变,这在很大程度上是由于自动ROI放置的可变性。与汇总表相反,在特定分析方法的背景下,可以最好地评估不同成像方法之间强度联合分布的丰富性。因此,所有成像数据和分析程序都是公开和免费提供的。这一努力为神经影像学界提供了一个资源,用于优化利用现代MRI模式多样性的算法。此外,它还为多参数成像协议的持续开发和优化建立了基线。
Modern MRI image processing methods have yielded quantitative, morphometric, functional, and structural assessments of the human brain. These analyses typically exploit carefully optimized protocols for specific imaging targets. Algorithm investigators have several excellent public data resources to use to test, develop, and optimize their methods. Recently, there has been an increasing focus on combining MRI protocols in multi-parametric studies. Notably, these have included innovative approaches for fusing connectivity inferences with functional and/or anatomical characterizations. Yet, validation of the reproducibility of these interesting and novel methods has been severely hampered by the limited availability of appropriate multi-parametric data. We present an imaging protocol optimized to include state-of-the-art assessment of brain function, structure, micro-architecture, and quantitative parameters within a clinically feasible 60 minute protocol on a 3T MRI scanner. We present scan-rescan reproducibility of these imaging contrasts based on 21 healthy volunteers (11 M/10 F, 22–61 y/o). The cortical gray matter, cortical white matter, ventricular cerebrospinal fluid, thalamus, putamen, caudate, cerebellar gray matter, cerebellar white matter, and brainstem were identified with mean volume-wise reproducibility of 3.5%. We tabulate the mean intensity, variability and reproducibility of each contrast in a region of interest approach, which is essential for prospective study planning and retrospective power analysis considerations. Anatomy was highly consistent on structural acquisition (~1–5% variability), while variation on diffusion and several other quantitative scans was higher (~<10%). Some sequences are particularly variable in specific structures (ASL exhibited variation of 28% in the cerebral white matter) or in thin structures (quantitative T2 varied by up to 73% in the caudate) due, in large part, to variability in automated ROI placement. The richness of the joint distribution of intensities across imaging methods can be best assessed within the context of a particular analysis approach as opposed to a summary table. As such, all imaging data and analysis routines have been made publicly and freely available. This effort provides the neuroimaging community with a resource for optimization of algorithms that exploit the diversity of modern MRI modalities. Additionally, it establishes a baseline for continuing development and optimization of multi-parametric imaging protocols.
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