Atlas-based segmentation of white matter tracts of the human brain using diffusion tensor tractography and comparison with classical dissection

By I. Lawes, T. Barrick, Vengadasalam Murugam, Natalia Spierings, David R. Evans, M. Song, C. A. Clark. NeuroImage, 2008

378 citations recorded by the source corpus.

Subfields: Computational Mathematics, Pediatrics, Perinatology and Child Health, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/fdc31c5db0fd2713a4bd5efb509aaa859252eb88

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In Computational Mathematics

In Pediatrics, Perinatology and Child Health

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Citations in the corpus

The Neural Architecture of the Language Comprehension Network: Converging Evidence from Lesion and Connectivity Analyses (2011, methodology): “…ROIs were isolated and manually segmented into fiber bundles corresponding to known anatomy and published diffusion imaging atlases (Wakana et al., 2004; Burgel et al., 2006; Catani and Thiebaut de Schotten, 2008; Hua et al., 2009; Lawes et al., 2008; Mori et al., 2008; Oishi et al., 2008).”
DRAMMS: Deformable Registration via Attribute Matching and Mutual-Saliency Weighting (2009, background): “, 2008), atlas-based image segmentation (e.g., Prastawa et al., 2005; Lawes et al., 2008; Gee et al., 1993), population studies (e.”
Atlasing location, asymmetry and inter-subject variability of white matter tracts in the human brain with MR diffusion tractography (2011, positive): “In the recent years several groups have used DTI to produce group atlases of the major white matter tracts (Hua et al., 2008; Lawes et al., 2008; Verhoeven et al., 2010; Wassermann et al., 2010).”
Anatomical accuracy of brain connections derived from diffusion MRI tractography is inherently limited (2014, background): “Indeed, many of the major fasciculi segmented using tractography are anatomically consistent with dissection studies in the human (43, 44).”
A hitchhiker's guide to diffusion tensor imaging (2012, background): “, 2011) which are complemented by available neuroanatomical WM atlas (Jellison et al., 2004; Wakana et al., 2004; Catani and Thiebaut De Schotten, 2008; Lawes et al., 2008; Oishi et al., 2008, 2010; Zhang et al., 2010; Bazin et al., 2011; Nowinski et al., 2012).”
Evidence for potentials and limitations of brain plasticity using an atlas of functional resectability of WHO grade II gliomas: Towards a "minimal common brain" (2011, background): “Nevertheless, tracking algorithmsmay strongly influence the anatomical data of DTI (Kinoshita et al., 2005), even if some reports have provided some validation on postmortem studies (de Schotten et al., 2011; Lawes et al., 2008).”
Brain templates and atlases (2012, background): “The last decade has seen a rapid growth in the availability of white-matter fiber tract atlases that can be used to examine fMRIbased studies of functional connectivity (Catani and Thiebaut de Schotten, 2008; Hua et al., 2008; Lawes et al., 2008; Mori et al., 2005, 2008; Oishi et al., 2008; Verhoeve”
Exploring the brain network: a review on resting-state fMRI functional connectivity. (2010, background): “Combining resting-state fMRI recordings with DTI data identified an important role for the cingulum tract in interconnecting the key regions of the default mode network, verifying the direct structural axonal connections between the posterior cingulate cortex and medial frontal cortex known from ani”
Diffusion MRI at 25: Exploring brain tissue structure and function (2012, background): “sonable qualitative agreement with tractography (Lawes et al., 2008) but such comparisons are necessarily between subjects and”
Tractography - where do we go from here? (2011, neutral): “Testing tractography methods in humans, while impossible using the more reliable methods of tracer-injections, may be possible, although subject to inter-operator variability, using classical dissections (Lawes et al., 2008).”
A diffusion tensor imaging tractography atlas for virtual in vivo dissections. (2008, methodology): “One approach for ROIs delineation is the automatic application of normalized cortical or subcortical masks to single brain data sets (see for example, Lawes et al., 2008).”