3D micro-CT imaging of the postmortem brain
3D micro-CT imaging of the postmortem brain
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DOI：
10.1016/j.jneumeth.2008.03.006
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发表时间：
2008-06-30
影响因子：
3
通讯作者：
D'Arceuil, Helen E.
中科院分区：
文献类型：
--
作者：
de Crespigny, Alex;Bou-Reslan, Hani;D'Arceuil, Helen E.
磁共振显微镜（mu MRI）正在成为非破坏性分析固定脑组织的重要工具。然而，与MRI不同，X射线计算机断层扫描（CT）扫描几乎没有显示出原生软组织对比度。在本文中，我们探讨了使用对比增强（大脑浸泡在碘化CT造影剂染色）micro-CT（μ CT）的高分辨率3D成像固定的正常和病理大脑，相比μ MRI和标准的组织病理学。0.27 M的最佳碘浓度导致正常脑中灰色和白色物质之间的良好对比，并识别出广泛的解剖结构。在带有胶质瘤的小鼠脑中，存在与在组织病理学切片上观察到的紧密匹配的肿瘤边缘的清楚的分界线。μ CT肿瘤体积与组织病理学体积密切相关。我们的数据表明，μ CT图像对比度在浸泡染色的大脑轴突密度和髓鞘含量有关。与传统的组织病理学相比，我们的mu CT方法相对快速且劳动强度较低。此外，与mu MRI相比，mu CT非常坚固，所需的设备和维护成本要低得多。对于简单的测量，如肿瘤体积和非破坏性死后脑筛查，μ CT可能被证明是一个有价值的替代标准组织病理学或μ MRI。2008 Elsevier B. V.保留所有权利。
Magnetic resonance microscopy (mu MRI) is becoming an important tool for non-destructive analysis of fixed brain tissue. However, unlike MRI, X-ray computed tomography (CT) scans show little native soft tissue contrast. In this paper, we explored the use of contrast enhanced (brains immersion stained in iodinated CT contrast media) micro-CT (mu CT) for high resolution 3D imaging of fixed normal and pathological brains, compared to mu MRI and standard histopathology. An optimum iodine concentration of 0.27 M resulted in excellent contrast between gray and white matter in normal brain and a wide range of anatomical structures were identified. In glioma bearing mouse brains, there was clear deliniation of tumor margin which closely matched that seen on histopathology sections. mu CT tumor volume was strongly correlated with histopathology volume. Our data suggests that mu CT image contrast in the immersion-stained brains is related to axonal density and myelin content. Compared to traditional histopathology, our mu CT approach is relatively rapid and less labor intensive. In addition, compared to mu MRI, mu CT is robust and requires much lower equipment and maintenance costs. For simple measurements, such as tumor volume and non-destructive postmortem brain screening, mu CT may prove to be a valuable alternative to standard histopathology or mu MRI. 2008 Elsevier B.V. All rights reserved.