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Co-registration Of In Vivo Human Mri Brain Images To Postmortem Histological Microscopic Images

机译:体内人类颅脑图像到死后组织学显微图像的共配准

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Certain features such as small vascular lesions seen in human MRI (Magnetic Resonance Imaging) are detected reliably only in postmortem histological samples by microscopic imaging. Co-registration of these microscopically detected features to their corresponding locations in the in vivo images would be of great benefit to understanding the MRI signatures of specific diseases. Using nonlinear Polynomial transformation, we report a method to co-register in vivo MRIs to microscopic images of histological samples drawn off the postmortem brain. The approach utilizes digital photographs of postmortem slices as an intermediate reference to co-register the MRIs to microscopy. The overall procedure is challenging due to gross structural deformations in the postmortem brain during extraction and subsequent distortions in the histological preparations. Hemispheres of the brain were co-registered separately to mitigate these effects. Approaches relying on matching single-slices, multiple-slices and entire volumes in conjunction with different similarity measures suggested that using four slices at a time in combination with two sequential measures, Pearson correlation coefficient followed by mutual information, produced the best MRI-postmortem co-registration according to a voxel mismatch count. The accuracy of the overall registration was evaluated by measuring the 3D Euclidean distance between the locations of microscopically identified lesions on postmortem slices and their MRI-postmortem co-registered locations. The results show a mean 3D displacement of 5.1 ± 2.0 mm between the in vivo MRI and microscopically determined locations for 21 vascular lesions in 11 subjects.
机译:只有通过显微镜成像才能在死后组织学样本中可靠地检测某些特征,例如在人MRI(磁共振成像)中看到的小血管病变。这些显微检测到的特征在体内图像中与其对应位置的共配准将对理解特定疾病的MRI信号非常有益。我们使用非线性多项式变换,报告了一种方法,可以将体内MRI共同注册到从死后大脑抽取的组织学样本的显微图像。该方法利用验尸切片的数字照片作为中间参考,将MRI共同注册到显微镜下。由于在提取过程中死后大脑中的总体结构变形以及随后的组织学制备过程中的变形,因此整个过程具有挑战性。大脑的半球被分别共同注册以减轻这些影响。依靠匹配单个切片,多个切片和整个体积以及不同相似性度量的方法表明,一次使用四个切片与两个顺序测量相结合,皮尔逊相关系数和互信息,产生了最佳的MRI验尸-根据体素不匹配计数进行注册。通过测量死后切片上显微镜识别的病变位置与MRI死后共同注册位置之间的3D欧式距离来评估总体注册的准确性。结果显示,在11位受试者的21处血管病变的体内MRI和显微镜确定的位置之间,平均3D位移为5.1±2.0 mm。

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