Cross Anne H, Song Sheng-Kwei
Department of Neurology, Washington University School of Medicine, Campus Box 8111, 660 S. Euclid Avenue, St. Louis 63110, MO, USA.
Department of Radiology, Washington University School of Medicine, Campus Box 8225, 660 S. Euclid Avenue, St. Louis 63110, MO, USA.
J Neuroimmunol. 2017 Mar 15;304:81-85. doi: 10.1016/j.jneuroim.2016.10.002. Epub 2016 Oct 8.
We describe a novel imaging method to assess central nervous system pathology called "Diffusion Basis Spectrum Imaging" (DBSI). Diffusion tensor imaging (DTI) has been widely used to estimate axonpathology and demyelination. However, in the settings of acute inflammation and chronic tissue loss asare common in multiple sclerosis, DTI signals can lead to false interpretations. DBSI is a computationallynovel method that separates isotropic from anisotropic components in imaging voxels. Isotropicdiffusion is believed to reflect inflammatory components (cells, edema), as well as intrinsic cells andextracellular space. DBSI enables the measurement of axial and radial diffusivities within the anisotropiccomponents of imaging voxels, which reflect the integrity of axon fibers and myelin, respectively.
我们描述了一种名为“扩散基谱成像”（DBSI）的评估中枢神经系统病理学的新型成像方法。扩散张量成像（DTI）已被广泛用于评估轴突病理学和脱髓鞘。然而，在多发性硬化症中常见的急性炎症和慢性组织损失情况下，DTI信号可能会导致错误解读。DBSI是一种计算上新颖的方法，可在成像体素中将各向同性成分与各向异性成分分离。各向同性扩散被认为反映炎症成分（细胞、水肿）以及内在细胞和细胞外空间。DBSI能够测量成像体素各向异性成分内的轴向和径向扩散率，分别反映轴突纤维和髓鞘的完整性。
