Combining atlas-based parcellation of regional brain data acquired across scanners at 1.5 T and 3.0 T field strengths.
Combining atlas-based parcellation of regional brain data acquired across scanners at 1.5 T and 3.0 T field strengths.
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DOI：
10.1016/j.neuroimage.2012.01.092
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发表时间：
2012-04-02
期刊：
影响因子：
5.7
通讯作者：
Sullivan, Edith V.
中科院分区：
文献类型：
--
作者：
Pfefferbaum, Adolf;Rohlfing, Torsten;Rosenbloom, Margaret J.;Sullivan, Edith V.
为在单一MRI场强下采集数据而设计的纵向脑形态计量学研究可能会受到从较低场强到较高场强的系统更换的严重限制。由于各种原因，合并不同领域优势的数据尚未得到认可，但合并这种数据的能力将扩大纵向调查的范围。为了确定在不同MR场强下获得的结构T1加权MRI数据是否可以合并，比较了114个个体在3周内1.5T和3.0T的SPGR档案数据。第一组分析检查了1)从1.5T和3.0T收集的数据得出的区域组织体积之间的对应关系，以及2)是否存在可以确定校正因子并应用于改善测量一致性的系统差异。根据自动和无监督的SRI24图谱注册和分割方法计算的组内相关(ICC)，评估1.5T和3.0T区域体积测定的可比性。第二组分析使用相同的方法对69名健康成年人的纵向数据进行了登记和量化的可靠性测量，这些数据是在一个1.5T的单一磁场强度下每隔两年采集的。分析的主要基础是SRI24方法；为了检查跨场强和跨图像分析包合并数据的潜力，第二组分析使用Freesurfer而不是SRI24方法。对于这两种方法，基于回归的线性校正函数显著改善了一致性。结果表明，大多数选定的皮质、皮质下和脑脊液填充的间隙之间的符合率很高；苍白球的符合率最低，苍白球是一个富含铁的区域，这反过来又对信号强度有相当大的场依赖性影响。因此，基于回归的校正函数的应用改善了区域体积估计中的一致性，这很好地证明了这样的命题，即通过应用适当的校正过程，选择的T1加权的区域解剖脑数据可以可靠地组合在1.5T和3.0T的场强上。
Longitudinal brain morphometric studies designed for data acquisition at a single MRI field strength can be seriously limited by system replacements from lower to higher field strength. Merging data across field strengths has not been endorsed for a variety of reasons, yet the ability to combine such data would broaden longitudinal investigations. To determine whether structural T1-weighted MRI data acquired across MR field strengths could be merged, parcellations of archival SPGR data acquired in 114 individuals at 1.5T and at 3.0T within 3 weeks of each other were compared. The first set of analyses examined 1) the correspondence between regional tissue volumes derived from data collected at 1.5T and 3.0T and 2) whether there were systematic differences for which a correction factor could be determined and applied to improve measurement agreement. Comparability of regional volume determination at 1.5T and 3.0T was assessed with intraclass correlation (ICC) computed on volumes derived from the automated and unsupervised SRI24 atlas registration and parcellation method. A second set of analyses measured the reliability of the registration and quantification using the same approach on longitudinal data acquired in 69 healthy adults at a single field strength, 1.5T, at an interval <2 years. The mainstay of the analyses was based on the SRI24 method; to examine the potential of merging data across field strengths and across image analysis packages, a secondary set of analyses used FreeSurfer instead of the SRI24 method. For both methods, a regression-based linear correction function significantly improved correspondence. The results indicated high correspondence between most selected cortical, subcortical, and CSF-filled spaces; correspondence was lowest in the globus pallidus, a region rich in iron, which in turn has a considerable field-dependent effect on signal intensity. Thus, the application of a regression-based correction function that improved the correspondence in regional volume estimations argues well for the proposition that selected T1-weighted regional anatomical brain data can be reliably combined across 1.5T and 3.0T field strengths with the application of an appropriate correction procedure.
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