2011
DOI: 10.1016/j.neuroimage.2010.09.016
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Global fiber reconstruction becomes practical

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Cited by 280 publications
(300 citation statements)
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References 17 publications
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“…DP falls within a class of computationally efficient pathfinding strategies that are beginning to be useful for tracking bundles. One is the A* approach (Richter et al, 2013), which was found to be more efficient than global optimization strategies such as Gibbs tracking (Reisert et al, 2011). In fact, DP was able to completely traverse the 2D spiral phantom, which could not be done with Gibbs tracking (see Fig.…”
Section: Discussionmentioning
confidence: 99%
“…DP falls within a class of computationally efficient pathfinding strategies that are beginning to be useful for tracking bundles. One is the A* approach (Richter et al, 2013), which was found to be more efficient than global optimization strategies such as Gibbs tracking (Reisert et al, 2011). In fact, DP was able to completely traverse the 2D spiral phantom, which could not be done with Gibbs tracking (see Fig.…”
Section: Discussionmentioning
confidence: 99%
“…In Figure 2a-f) the fiber density found by our approach (FD) is compared to fractional anisotropy (FA) and tract densities (TD) computed by a global fiber tracking approach [5]. While TD is closely correlated to FA the proposed densities are different and do not show the expected [9] picture: FD does not have the maximal dense regions in the Corpus Callosum (CC) and along the cortical spinal tract.…”
Section: In-vivo Datamentioning
confidence: 99%
“…by determining the myelinization degree with bound pool fraction imaging [2] or with optimized diffusion measurements and multicompartement models [3]. On the other hand, fiber tracking approaches can be used to infer tract-density maps [4,5], but the inferred maps are usually correlated closely with fractional anisotropy (FA) [6]. This work attempts to formulate a fiber conservation law, which is able to derive fiber density maps from ordinary (clinical suitable) DWI by employing the global coherence of the data.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, it has been generalized into a multi-tensor/ODF streamline by considering the local orientation as the principal, or through the use of multi-tensors [55] , or by considering the maxima of ODFs [20,56,57] . Globally optimized tractography [58][59][60][61][62][63][64][65] was also proposed and has performed better than local tractographic methods. The uncertainty and prior probability can be incorporated into a Bayesian formalization to obtain the posterior probability of the particular values in a given local diffusion model [66,67] .…”
Section: Tractography For Wmm and Network Constructionmentioning
confidence: 99%