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利用 DT-MREIT 对活体犬脑进行各向异性电导率张量成像。

Anisotropic Conductivity Tensor Imaging of In Vivo Canine Brain Using DT-MREIT.

出版信息

IEEE Trans Med Imaging. 2017 Jan;36(1):124-131. doi: 10.1109/TMI.2016.2598546.

Abstract

We present in vivo images of anisotropic electrical conductivity tensor distributions inside canine brains using diffusion tensor magnetic resonance electrical impedance tomography (DT-MREIT). The conductivity tensor is represented as a product of an ion mobility tensor and a scale factor of ion concentrations. Incorporating directional mobility information from water diffusion tensors, we developed a stable process to reconstruct anisotropic conductivity tensor images from measured magnetic flux density data using an MRI scanner. Devising a new image reconstruction algorithm, we reconstructed anisotropic conductivity tensor images of two canine brains with a pixel size of 1.25 mm. Though the reconstructed conductivity values matched well in general with those measured by using invasive probing methods, there were some discrepancies as well. The degree of white matter anisotropy was 2 to 4.5, which is smaller than previous findings of 5 to 10. The reconstructed conductivity value of the cerebrospinal fluid was about 1.3 S/m, which is smaller than previous measurements of about 1.8 S/m. Future studies of in vivo imaging experiments with disease models should follow this initial trial to validate clinical significance of DT-MREIT as a new diagnostic imaging modality. Applications in modeling and simulation studies of bioelectromagnetic phenomena including source imaging and electrical stimulation are also promising.

摘要

我们使用扩散张量磁共振电阻抗断层成像(DT-MREIT)展示了犬脑内各向异性电导率张量分布的体内图像。电导率张量表示为离子迁移率张量和离子浓度标度因子的乘积。我们从水扩散张量中整合了方向迁移信息,开发了一种稳定的过程,可使用 MRI 扫描仪从测量的磁通密度数据中重建各向异性电导率张量图像。通过设计新的图像重建算法,我们重建了两只犬脑的各向异性电导率张量图像,像素大小为 1.25 毫米。尽管重建的电导率值通常与使用侵入性探测方法测量的值吻合较好,但也存在一些差异。白质各向异性的程度为 2 到 4.5,小于之前发现的 5 到 10。脑脊液的重建电导率值约为 1.3 S/m,小于之前约 1.8 S/m 的测量值。未来应通过疾病模型的体内成像实验进行研究,以验证 DT-MREIT 作为一种新的诊断成像方式的临床意义。在包括源成像和电刺激在内的生物电磁现象的建模和模拟研究中的应用也很有前景。

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