White matter lesion phantom for diffusion tensor data and its application to the assessment of fiber tracking

Integrity of hypothalamic fibers and cognitive fatigue in multiple sclerosis

“…The fiber tracking algorithm we employed (see Schlüter et al, 2005) is based on the deflection-based approach by Weinstein et al (1999). The anatomical accuracy of the DTI fiber tracking method of NeuroQLab appeared to be quite high (Feigl et al, 2013).…”

On the Reliability of Diffusion Neuroimaging

“…For a fair comparison between both probabilistic approaches, the noise of the diffusionweighted images used for the Bayesian method should match the noise of the images computed by the variational noise technique. The deterministic FT algorithm which we use (Schlueter et al, 2005) to compare with both probabilistic approaches is based on the deflection-based approach by (Weinstein et al, 1999) and makes use of the full diffusion tensor information during tracking. In contrast, commonly employed streamline-based algorithms, such as the FACT (fiber assignment by continuous tracking) method (Mori et al, 1999), only consider the largest eigenvector representing the main diffusion direction.…”

“…It is important to note that the thickness of a fiber bundle does not only depend on the kernel width, but also on the actual presence of white matter in the different voxels. After the fiber has been added to the model, we track it using the advection-diffusion based fiber tracking algorithm presented in (Schlueter et al, 2005), see also Section 3. In our implementation, the resulting tracked fibers are represented by several linearly connected points.…”

Grid-based spectral fiber clustering

“…29 For generating the artificial fiber sets shown in Figure 4, we developed a tool that allows for interactively drawing fibers on arbitrary 3D surfaces. Figure 6 and 7 show the corpus callosum clustered automatically by our MEC.…”