Atlas-based head modeling and spatial normalization for high-density diffuse optical tomography: in vivo validation against fMRI.
Atlas-based head modeling and spatial normalization for high-density diffuse optical tomography: in vivo validation against fMRI.
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DOI：
10.1016/j.neuroimage.2013.03.069
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发表时间：
2014-01-15
期刊：
影响因子：
5.7
通讯作者：
Culver, Joseph P.
中科院分区：
文献类型：
--
作者：
Ferradal, Silvina L.;Eggebrecht, Adam T.;Hassanpour, Mahlega;Snyder, Abraham Z.;Culver, Joseph P.
关键词：
当fMRI被排除在外时，弥散光学成像（DOI）正日益成为一种有价值的神经成像工具。高密度扩散光学断层扫描（HD-DOT）的最新发展克服了以前稀疏DOI系统的局限性，提供了更好的图像质量和大脑特异性。仪器的这些改进促使需要在以下两个方面取得进展：i）用于精确HD-DOT图像重建的真实前向光建模，以及ii）用于跨受试者的逐体素比较的空间归一化。从受试者特定的解剖图像导出的个性化前向光模型提供了最佳的逆解，但这种建模可能不是在所有情况下都可行。在缺乏受试者特定解剖图像的情况下，使用颅骨基准将基于地图集的头部模型配准到受试者的头部提供了一种替代解决方案。此外，标准地图集是有吸引力的，因为它定义了一个共同的坐标空间，在其中比较跨学科的结果。因此，问题是，基于图谱的前向光建模是否能确保个人和群体水平的HD-DOT图像质量。在这里，我们证明了使用基于地图集的前向光建模和空间归一化方法的可行性。这两种技术进行了验证，使用受试者匹配的HD-DOT和fMRI数据集的视觉诱发反应测量在五个健康的成年人。使用配准的图谱解剖结构（即图谱DOT）获得的HD-DOT重建相对于使用受试者特定解剖图像（即受试者-MRI DOT）获得的重建具有2.7 mm的平均定位误差，并且相对于fMRI数据具有6.6 mm的平均定位误差。在组水平上，寰椎DOT重建的定位误差相对于受试者-MRI DOT重建为4.2 mm，相对于fMRI为6.1 mm。这些结果表明，当解剖成像不可用时，基于图谱的图像重建为HD-DOT的个体头部建模提供了一种可行的方法。
Diffuse optical imaging (DOI) is increasingly becoming a valuable neuroimaging tool when fMRI is precluded. Recent developments in high-density diffuse optical tomography (HD-DOT) overcome previous limitations of sparse DOI systems, providing improved image quality and brain specificity. These improvements in instrumentation prompt the need for advancements in both i) realistic forward light modeling for accurate HD-DOT image reconstruction, and ii) spatial normalization for voxel-wise comparisons across subjects. Individualized forward light models derived from subject-specific anatomical images provide the optimal inverse solutions, but such modeling may not be feasible in all situations. In the absence of subject-specific anatomical images, atlas-based head models registered to the subject’s head using cranial fiducials provide an alternative solution. In addition, a standard atlas is attractive because it defines a common coordinate space in which to compare results across subjects. The question therefore arises as to whether atlas-based forward light modeling ensures adequate HD-DOT image quality at the individual and group level. Herein, we demonstrate the feasibility of using atlas-based forward light modeling and spatial normalization methods. Both techniques are validated using subject-matched HD-DOT and fMRI data sets for visual evoked responses measured in five healthy adult subjects. HD-DOT reconstructions obtained with the registered atlas anatomy (i.e. atlas DOT) had an average localization error of 2.7 mm relative to reconstructions obtained with the subject-specific anatomical images (i.e. subject-MRI DOT), and 6.6 mm relative to fMRI data. At the group level, the localization error of atlas DOT reconstruction was 4.2 mm relative to subject-MRI DOT reconstruction, and 6.1 mm relative to fMRI. These results show that atlas-based image reconstruction provides a viable approach to individual head modeling for HD-DOT when anatomical imaging is not available.
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影响因子：
5.7
作者：
Eggebrecht, Adam T.;White, Brian R.;Ferradal, Silvina L.;Chen, Chunxiao;Zhan, Yuxuan;Snyder, Abraham Z.;Dehghani, Hamid;Culver, Joseph P.
通讯作者：
Culver, Joseph P.
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Brain Development Cooperative Group