A new approach for creating customizable cytoarchitectonic probabilistic maps without a template.

A new approach for creating customizable cytoarchitectonic probabilistic maps without a template.
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一种无需模板即可创建可定制细胞结构概率图的新方法。

DOI:
10.1007/978-3-642-04271-3_96
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发表时间:
2009
期刊:
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
影响因子:
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通讯作者:
Johnsrude,IngridS
Johnsrude,IngridS
中科院分区:
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文献类型:
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作者:
Tahmasebi,AmirM;Abolmaesumi,Purang;Geng,Xiujuan;Morosan,Patricia;Amunts,Katrin;Christensen,GaryE;Johnsrude,IngridS

文献摘要

相似文献

我们提出了一种新的技术,用于创建细胞结构区域的无模板概率图,使用分组配准。我们使用该技术将10个人类死后结构MR数据集及其相应的细胞结构信息转换到一个公共空间。我们的目标是初级听觉皮层的细胞结构定义的亚区。由于无模板分组注册,创建的地图不会在宏观解剖学上偏向于特定的几何/拓扑结构。在避免这种解剖偏倚方面,分组登记与两两登记的优势在少数受试者和个体之间高度变异性的研究(如死后数据)中得到了更好的体现。采用留一交叉验证法比较提出的图谱和已发表的图谱的敏感性、特异性和阳性预测值。我们观察到使用所提出的地图在初级听觉皮层中细胞结构定义的亚区域的定位有显着改善。所提出的地图可以通过将主体图像注册到群配准的尸体图像的平均值来定制任何主体空间。
We present a novel technique for creating template-free probabilistic maps of the cytoarchitectonic areas using a groupwise registration. We use the technique to transform 10 human post-mortem structural MR data sets, together with their corresponding cytoarchitectonic information, to a common space. We have targeted the cytoarchitectonically defined subregions of the primary auditory cortex. Thanks to the template-free groupwise registration, the created maps are not macroanatomically biased towards a specific geometry/topology. The advantage of the groupwise versus pairwise registration in avoiding such anatomical bias is better revealed in studies with small number of subjects and a high degree of variability among the individuals such as the post-mortem data. A leave-one-out cross-validation method was used to compare the sensitivity, specificity and positive predictive value of the proposed and published maps. We observe a significant improvement in localization of cytoarchitectonically defined subregions in primary auditory cortex using the proposed maps. The proposed maps can be tailored to any subject space by registering the subject image to the average of the groupwise-registered post-mortem images.