Quantitative validation of a nonlinear histology-MRI coregistration method using generalized Q-sampling imaging in complex human cortical white matter.
Quantitative validation of a nonlinear histology-MRI coregistration method using generalized Q-sampling imaging in complex human cortical white matter.
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DOI：
10.1016/j.neuroimage.2017.03.059
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发表时间：
2017-06
期刊：
影响因子：
5.7
通讯作者：
Brody DL
中科院分区：
文献类型：
--
作者：
Gangolli M;Holleran L;Hee Kim J;Stein TD;Alvarez V;McKee AC;Brody DL
先进的扩散MRI方法最近已被提出用于检测病理，如创伤性轴突损伤和慢性创伤性脑病，通常影响复杂的皮质脑区域。然而，在人脑组织中的放射病理学的相关性，详细的多成分扩散信号和潜在的病理之间的关系是缺乏的。我们提出了一种基于非线性体素的二维配准方法，该方法适用于将扩散信号与高分辨率组织学图像的定量指标相匹配。当在250 × 250 × 500微米空间分辨率下在离体人类皮质组织中验证时，该方法证明了广义q采样成像与基于组织学的白色纤维方向之间的相关性的稳健性，每个体素中的主要纤维方向r = 0.94，次要纤维方向r = 0.88。然而，重要的是，相关性大大降低空间分辨率或与纤维取向使用扩散张量模型。此外，我们已经详细的定量组织学度量的白色物质纤维的完整性称为功率相干性，能够区分结构复杂，但完整的白色物质从破坏的白色物质区域。这些方法可能允许影响复杂灰质和白色物质的神经退行性疾病的更敏感和特异的放射病理学相关性。
Advanced diffusion MRI methods have recently been proposed for detection of pathologies such as traumatic axonal injury and chronic traumatic encephalopathy which commonly affect complex cortical brain regions. However, radiological-pathological correlations in human brain tissue that detail the relationship between the multi-component diffusion signal and underlying pathology are lacking. We present a nonlinear voxel based two dimensional coregistration method that is useful for matching diffusion signals to quantitative metrics of high resolution histological images. When validated in ex vivo human cortical tissue at a 250 × 250 × 500 micron spatial resolution, the method proved robust in correlations between generalized q-sampling imaging and histologically based white matter fiber orientations, with r = 0.94 for the primary fiber direction and r = 0.88 for secondary fiber direction in each voxel. Importantly, however, the correlation was substantially worse with reduced spatial resolution or with fiber orientations derived using a diffusion tensor model. Furthermore, we have detailed a quantitative histological metric of white matter fiber integrity termed power coherence capable of distinguishing between architecturally complex but intact white matter from disrupted white matter regions. These methods may allow for more sensitive and specific radiological-pathological correlations of neurodegenerative diseases affecting complex gray and white matter.