Human brain atlas for automated region of interest selection in quantitative susceptibility mapping: application to determine iron content in deep gray matter structures.
Human brain atlas for automated region of interest selection in quantitative susceptibility mapping: application to determine iron content in deep gray matter structures.
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DOI：
10.1016/j.neuroimage.2013.05.127
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发表时间：
2013-11-15
期刊：
影响因子：
5.7
通讯作者：
van Zijl PC
中科院分区：
文献类型：
--
作者：
Lim IA;Faria AV;Li X;Hsu JT;Airan RD;Mori S;van Zijl PC
本文的目的是扩展来自约翰霍普金斯大学的单主题Eve图谱，该图谱目前包含扩散张量和t1加权解剖图谱，通过包含基于定量敏感性制图的对比。新的地图集将来自单个受试者定量敏感性图的“深灰质包裹图”（DGMPM）与先前建立的来自同一受试者t1加权和扩散张量成像数据的“白质包裹图”（WMPM）结合成MNI坐标图，称为“Eve Space中的万物包裹图”，也称为“EvePM”。它可以自动分割灰质和白质结构。将5名健康男性志愿者（30 ~ 33岁）的定量敏感性图谱与AIR和大变形微分同构度量映射（LDDMM）共同注册到Eve Atlas中，并将变换矩阵应用于EvePM，实现受试者空间的自动分块。用kappa分析对6个深灰质区域的左右结构进行了包裹精度测量。对于多方向QSM图像，自动分割和人工分割的Kappa统计量为0.85，人工分割的可重复性Kappa为0.89，表明所有分割方法之间“几乎完美”一致。在单方向QSM图像上，人工评分者的Kappa统计值为0.88，自动和人工评分者的Kappa统计值分别为0.85和0.86。总体而言，该图谱为定量敏感性数据的自动共配准和分割提供了一个省时的工具，以分析许多感兴趣的区域。这些数据被用来为30至33岁男性的60多个大脑结构的正常磁化率测量建立基线。通过EvePM中描述的几个深层灰质区域的平均铁浓度的允许插值，将灰质结构中的平均铁浓度与平均易感性相关联。
The purpose of this paper is to extend the single-subject Eve atlas from Johns Hopkins University, which currently contains diffusion tensor and T1-weighted anatomical maps, by including contrast based on quantitative susceptibility mapping. The new atlas combines a “deep gray matter parcellation map” (DGMPM) derived from a single-subject quantitative susceptibility map with the previously established “white matter parcellation map” (WMPM) from the same subject’s T1-weighted and diffusion tensor imaging data into an MNI coordinate map named the “Everything Parcellation Map in Eve Space,” also known as the “EvePM.” It allows automated segmentation of gray matter and white matter structures. Quantitative susceptibility maps from five healthy male volunteers (30 to 33 years of age) were coregistered to the Eve Atlas with AIR and Large Deformation Diffeomorphic Metric Mapping (LDDMM), and the transformation matrices were applied to the EvePM to produce automated parcellation in subject space. Parcellation accuracy was measured with a kappa analysis for the left and right structures of six deep gray matter regions. For multi-orientation QSM images, the Kappa statistic was 0.85 between automated and manual segmentation, with the inter-rater reproducibility Kappa being 0.89 for the human raters, suggesting “almost perfect” agreement between all segmentation methods. Segmentation seemed slightly more difficult for human raters on single-orientation QSM images, with the Kappa statistic being 0.88 between automated and manual segmentation, and 0.85 and 0.86 between human raters. Overall, this atlas provides a time-efficient tool for automated coregistration and segmentation of quantitative susceptibility data to analyze many regions of interest. These data were used to establish a baseline for normal magnetic susceptibility measurements for over 60 brain structures of 30- to 33-year-old males. Correlating the average susceptibility with age-based iron concentrations in gray matter structures measured by allowed interpolation of the average iron concentration of several deep gray matter regions delineated in the EvePM.
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影响因子：
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作者：
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DOI：
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影响因子：
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