Department of Neurosurgery, Medical College of Wisconsin Milwaukee, WI, USA.
Front Integr Neurosci. 2013 Feb 1;7:3. doi: 10.3389/fnint.2013.00003. eCollection 2013.
Diffusion weighted imaging (DWI) has provided unparalleled insight into the microscopic structure and organization of the central nervous system. Diffusion tensor imaging (DTI) and other models of the diffusion MRI signal extract microstructural properties of tissues with relevance to the normal and injured brain. Despite the prevalence of such techniques and applications, accurate and large-scale validation has proven difficult, particularly in the human brain. In this report, human brain sections obtained from a digital public brain bank were employed to quantify anisotropy and fiber orientation using structure tensor analysis. The derived maps depict the intricate complexity of white matter fibers at a resolution not attainable with current DWI experiments. Moreover, the effects of multiple fiber bundles (i.e., crossing fibers) and intravoxel fiber dispersion were demonstrated. Examination of the cortex and hippocampal regions validated-specific features of previous in vivo and ex vivo DTI studies of the human brain. Despite the limitation to two dimensions, the resulting images provide a unique depiction of white matter organization at resolutions currently unattainable with DWI. The method of analysis may be used to validate tissue properties derived from DTI and alternative models of the diffusion signal.
扩散加权成像(DWI)为中枢神经系统的微观结构和组织提供了无与伦比的洞察力。扩散张量成像(DTI)和其他扩散 MRI 信号模型提取与正常和损伤大脑相关的组织微观结构特性。尽管此类技术和应用非常普遍,但准确和大规模的验证一直很困难,尤其是在人类大脑中。在本报告中,使用结构张量分析从数字公共脑库中获得的人脑切片来量化各向异性和纤维方向。所得到的图谱以当前 DWI 实验无法达到的分辨率描绘了白质纤维的错综复杂的复杂性。此外,还证明了多束纤维(即交叉纤维)和体素内纤维弥散的影响。对皮层和海马区域的检查验证了先前对人类大脑进行的体内和体外 DTI 研究的特定特征。尽管限于二维,但所得图像以目前 DWI 无法达到的分辨率提供了对白质组织的独特描述。该分析方法可用于验证源自 DTI 和扩散信号替代模型的组织特性。