Diffusion spectrum magnetic resonance imaging (DSI) tractography of crossing fibers

By Van J. Wedeen, R. Wang, Jeremy D. Schmahmann, T. Benner, W. I. Tseng, Guangping Dai, Deepak N. Pandya, Patric Hagmann, Helen D'Arceuil, A. Crespigny. NeuroImage, 2008

981 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/ab0da6c75606a17fd35dbad061ce317e51bf200c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Pediatrics, Perinatology and Child Health

In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

The Neural Architecture of the Language Comprehension Network: Converging Evidence from Lesion and Connectivity Analyses (2011, background): “…tractography failed to resolve IOFF fibers entering the MTG by crossing the other major pathways in this region; high-angular resolution diffusion imaging techniques designed to trace fibers through regions with complex fiber architecture might be best suited for this task (Wedeen et al., 2008).”
Using diffusion imaging to study human connectional anatomy. (2009, background): “…that while some pathways are easy to track (e.g., corpus callosum), others are challenging (e.g., the lateral portion of the corticospinal tract, the auditory radiations), although improved techniques can improve performance (Behrens et al. 2007, Parker & Alexander 2005, Wedeen et al. 2008).”
Deterministic and Probabilistic Tractography Based on Complex Fibre Orientation Distributions (2009, methodology): “Recently,in [11], [17] a generalized streamline tracking algorithm was proposed based on the principal direction of the diffusion ODF computed from DSI.”
Multiplexed Echo Planar Imaging for Sub-Second Whole Brain FMRI and Fast Diffusion Imaging (2010, positive): “Imaging parameters for 3T diffusion imaging were as follows: DSI using b-maximum of 4500 s/mm2 and 256 samples in q-space, SIR2 6 MB2, 3 mm resolution, total acquisition time 8.5 min, TR/2000 ms and signal bandwidth 2604 Hz/pixel.”
The Human Connectome Project: A data acquisition perspective (2012, methodology): “, 2004), and Diffusion Spectrum Imaging reconstructions (Wedeen et al., 2008).”
Tract Profiles of White Matter Properties: Automating Fiber-Tract Quantification (2012, background): “Ventricular dilatation may lead to stretching, displacement, and resulting increased coherence of the axons in the CST leading to increased FA [32].”
The Human Connectome Project and Beyond: Initial Applications of 300 mT/m Gradients (2013, methodology): “5 at the edge of q-space before reconstructing ODF and no peak threshold nor limit to the maximum orientations per voxel was employed (Wedeen et al., 2008).”
Deterministic Diffusion Fiber Tracking Improved by Quantitative Anisotropy (2013, methodology): “The adjuvant deterministic tracking approaches have been proposed to make use of multiple fiber orientations [14,15] and to obtain the connectivity matrix for human connectome studies [5,16–18].”
Generalized <formula formulatype="inline"><tex Notation="TeX">${ q}$</tex></formula>-Sampling Imaging (2010, methodology): “Another -space imaging method, diffusion spectrum imaging (DSI) [32], [33], was also proposed as a way to reconstruct ODF”
Monkey to human comparative anatomy of the frontal lobe association tracts. (2012, methodology): “The full brain tractography was normalised to the MNI space using the transformation matrix derived from the process of normalisation of the registered MPRAGE dataset with the tool " Transform Track " provided in Diffusion Toolkit (http://www.trackvis.org; Wedeen et al., 2008).”
The UCLA multimodal connectivity database: a web-based platform for brain connectivity matrix sharing and analysis (2012, background): “A tensor is a basic model of water diffusion that is insufﬁciently complex for describing the intersection of multiple ﬁber populations within a voxel (Wedeen et al., 2008).”
Conserved and variable architecture of human white matter connectivity (2011, positive): “In the present work, we restrict ourselves to a comparison of classical DTI and the more recently developed DSI, which has been shown to better resolve diffusion directions where white matter fibers cross (Wedeen et al., 2008).”
Cliques and cavities in the human connectome (2016, background): “2015), and have challenges tracking “crossing fibers”, connections with different orientations that pass through the same voxel (Wedeen et al. 2008).”
NTU-90: A high angular resolution brain atlas constructed by q-space diffeomorphic reconstruction (2011, methodology): “The modified streamline fiber tracking (Wedeen et al., 2008) was conducted using the fiber orientations defined by the transformed SDFs to examine whether the generated tractography could reveal the connections in the horizontal and vertical directions.”
The Organization of Local and Distant Functional Connectivity in the Human Brain (2010, background): “Commonly used diffusion imaging techniques capture long association fibers that travel in discrete fascicles within the hemisphere and commissural fibers that pass between the hemispheres (but see [44] for a recent exception), and usually discard fibers or fail to adequately measure information from”