2008
DOI: 10.1016/j.neuroimage.2008.01.028
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Labeling of ambiguous subvoxel fibre bundle configurations in high angular resolution diffusion MRI

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Cited by 65 publications
(59 citation statements)
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References 28 publications
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“…We used a modified brute-force streamline tractography approach that uses the information on subvoxel crossing fibers obtained from the Q-Ball imaging reconstruction and which is an adaptation of our earlier approach Savadjiev et al, 2006Savadjiev et al, , 2008. The maxima of the diffusion ODF were considered to correspond to fiber directions.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…We used a modified brute-force streamline tractography approach that uses the information on subvoxel crossing fibers obtained from the Q-Ball imaging reconstruction and which is an adaptation of our earlier approach Savadjiev et al, 2006Savadjiev et al, , 2008. The maxima of the diffusion ODF were considered to correspond to fiber directions.…”
Section: Methodsmentioning
confidence: 99%
“…With standard diffusion tensor imaging (DTI), the pdf is modeled using a 3D Gaussian distribution function and, therefore, is limited in situations when voxels present with partial volume effects such as when fibers cross. It is for this reason that we have acquired the data using a model free high angular resolution diffusion imaging (HARDI) approach, which can be used to detect multiple fiber orientations, given by multiple ODF maxima, in individual voxels, unlike DTI techniques (for review, see Campbell et al, 2006;Savadjiev et al, 2006Savadjiev et al, , 2008. The use of high angular resolution makes the detection of fibers that cross other large fiber pathways, such as the SLF III, more likely.…”
Section: Limitations Of Diffusion-weighted Datamentioning
confidence: 99%
“…We compare our segmentation algorithm with conventional streamline fibre tractography with a user-defined, extensive start region of interest (ROI). To do so, a streamline tractography approach robust to complex sub-voxel geometries [12] was used. The ROI was hand drawn on the entire length of the corpus callosum (CC) in the mid sagittal region of the brain.…”
Section: Methodsmentioning
confidence: 99%
“…proposed in [5] to compute the anisotropy of each fibre population within the same voxel. Other relevant methods include the labelling of crossing and fanning fibre populations [6] and the computation of a torsion index [7], both using inter-voxel computations. To the extent of our knowledge, the present paper describes the first statistical method for assessing the partitioning of fibre populations within the same voxel.…”
Section: Introductionmentioning
confidence: 99%