Improved White Matter Tract Segmentation Reproducibility Using Global Diffusion Tensor Neighborhood Tractography

Keywords

account addition affine alone anisotropy apart applied approaches around automated averaging better bottom brain branches bundle cause challenging chosen classified close coefficients collinear conjunction connectivity considered consistent contained corpus correlation criteria cross defined described despite diffusion diffusivity direct directly disappear evaluated exaggerates extended extracted extraction fast favorably fiber fibers fixed fractional full global good gradient healthy human illustrates implementing improve improvements include individual individuals inter intra kingdom limitations major manual manually maps marching mark matrix minor modified month narrow narrowing native neighborhood normalized offers optimum originating overcome parker partial pathway pathways percentage poor potential previously projections proposition providing proximity qualitatively quality reduces registered registration reliability reliable repeat representation representative reproducibility respective scale scanner score seed seeding segmentation seven several significantly similarity slice sophisticated south space spatial still studies subject subjects success summarizes table template tendency tensor thresholded thresholding tract trans transformation transposed transverse underestimation variability variation visual volume white widespread width