"Fibre tractography (FT) is a 3D reconstruction technique to assess neural tracts using data collected by diffusion tensor imaging."
"AD - axial diffusivity represents the longest eigenvector"
"RD - radial diffusivity represents the average of two shorter eigenvectors"
"DTI data acquisition is done by SE-EPI with the application of diffusion gradients in multiple directions (SE-EPI = spin-echo echo-planar imaging, using pairs of 90-180 degree pulses, giving T2-weighting)"
"DTI data acquisition is done by SE-EPI with the application of diffusion gradients in multiple directions (SE-EPI = spin-echo echo-planar imaging, using pairs of 90-180 degree pulses, giving T2-weighting)"
Expected headings
"Quantitative analysis methods"
"Physics of diffusion tensor imaging (DTI)"
"Colour coding"
"Limitations of fibre tractography"
"The rationale of the tractographic algorithms lies in the presupposition that in each voxel, the direction of the main eigenvector coincides with the average direction of a single fibre bundle. The approach, therefore, leads to a correct result only if the region of interest is homogeneous and, the direction variations of the fasciculi are of the order of size of the voxels. It follows that where more bundles of fibres coexist or where they cross, approach, converge or diverge, the algorithm works poorly. These limits, in clinical practice, could lead to following paths that do not exist (false positive) or to not adequately follow paths that exist (false negative); therefore, the interpretation of tractographic reconstructions requires prior experience and knowledge 11-14."
"The rationale of the tractographic algorithms lies in the presupposition that in each voxel, the direction of the main eigenvector coincides with the average direction of a single fibre bundle. The approach, therefore, leads to a correct result only if the region of interest is homogeneous and, the direction variations of the fasciculi are of the order of size of the voxels. It follows that where more bundles of fibres coexist or where they cross, approach, converge or diverge, the algorithm works poorly. These limits, in clinical practice, could lead to following paths that do not exist (false positive) or to not adequately follow paths that exist (false negative); therefore, the interpretation of tractographic reconstructions requires prior experience and knowledge 11-14."