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Diffusion tensor imaging (DTI) is important when a tissue—such as the neural axons of white matter in the brain or muscle fibers in the heart—has an internal fibrous structure analogous to the anisotropy of some crystals. Water will then diffuse more rapidly in the direction aligned with the internal structure (axial diffusion), and more ...
One group of researchers (Iturria-Medina et al., 2008) [35] has constructed connectome data sets using diffusion tensor imaging (DTI) [36] [37] followed by the derivation of average connection probabilities between 70 and 90 cortical and basal brain gray matter areas. All networks were found to have small-world attributes and "broad-scale ...
Amira (ah-MEER-ah) is a software platform for visualization, processing, and analysis of 3D and 4D data. It is being actively developed by Thermo Fisher Scientific in collaboration with the Zuse Institute Berlin (ZIB), and commercially distributed by Thermo Fisher Scientific — together with its sister software Avizo.
This shape is often modeled as an ellipsoid, and the technique is then called diffusion tensor imaging. [4] Barriers can be many things: cell membranes, axons, myelin, etc.; but in white matter the principal barrier is the myelin sheath of axons. Bundles of axons provide a barrier to perpendicular diffusion and a path for parallel diffusion ...
Diffusion tensor imaging, a structural medical imaging technique; Direct thrombin inhibitor; Diesel turbo injection, a brand name for common rail; Direct tension indicator; Deep tissue injury, see suspected deep tissue injury in List of medical abbreviations: S; Dye transfer inhibitor
1 Diffusion tensor imaging. Toggle the table of contents. Wikipedia: ... Promoted Image:DTI-sagittal-fibers.jpg MER-C 07:03, 2 November 2007 (UTC)
The electromagnetic tensor is the combination of the electric and magnetic fields into a covariant antisymmetric tensor whose entries are B-field quantities. [1] = (/ / / / / /) and the result of raising its indices is = = (/ / / / / /), where E is the electric field, B the magnetic field, and c the speed of light.
In 2002, the choice of which diffusion gradient directions to acquire in diffusion tensor imaging was the subject of debate in the literature, with various empirical approaches having been proposed. At its core, this was a problem that combined the geometry related to the equal distribution of points on a hemisphere (the diffusion directions ...