Automated longitudinal registration of high resolution structural MRI brain sub-volumes in non-human primates.
Automated longitudinal registration of high resolution structural MRI brain sub-volumes in non-human primates.
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DOI：
10.1016/j.jneumeth.2011.08.046
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发表时间：
2011-10-30
影响因子：
3
通讯作者：
Dawant BM
中科院分区：
文献类型：
--
作者：
Lecoeur J;Wang F;Chen LM;Li R;Avison MJ;Dawant BM
准确的解剖配准是识别脑可塑性纵向研究中结构和功能变化的先决条件。目前的MRI方法允许在多个尺度上收集大脑图像，范围从相对低分辨率（≥1 mm）的全脑到同一会话中皮质层和柱水平（~100 µm）的局部脑区，允许在类似的空间尺度上检测细微的结构变化。为了可靠地测量这些变化，局部脑区域的高分辨率结构和功能图像必须在成像过程中准确地配准。本研究描述了一种鲁棒的全自动化策略，用于将大脑子体积的高分辨率结构图像配准到会话内收集的较低分辨率全脑图像，以及跨成像会话部分重叠的高分辨率MRI子体积（“厚片”）的配准。在高场（9.4 T）在麻醉的非人灵长类动物模型中使用表面线圈的减小的视场高分辨率结构成像研究，该全自动共配准管道在面对由表面线圈的空间不均匀的发射和接收特性引起的图像强度和组织对比度的显著不均匀性时是稳健的，在会话之间实现30 ± 15 µm的配准精度。
Accurate anatomic co-registration is a prerequisite for identifying structural and functional changes in longitudinal studies of brain plasticity. Current MRI methods permit collection of brain images across multiple scales, ranging from whole brain at relatively low resolution (≥1 mm), to local brain areas at the level of cortical layers and columns (~100 µm) in the same session, allowing detection of subtle structural changes on a similar spatial scale. To measure these changes reliably, high resolution structural and functional images of local brain regions must be registered accurately across imaging sessions. The present study describes a robust fully automated strategy for the registration of high resolution structural images of brain sub-volumes to lower resolution whole brain images collected within a session, and the registration of partially overlapping high resolution MRI sub-volumes (“slabs”) across imaging sessions. In high field (9.4 T) reduced field-of-view high resolution structural imaging studies using a surface coil in an anesthetized non-human primate model, this fully automated coregistration pipeline was robust in the face of significant inhomogeneities in image intensity and tissue contrast arising from the spatially inhomogeneous transmit and receive properties of the surface coil, achieving a registration accuracy of 30 ± 15 µm between sessions.
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