In vivo fiber tractography using DT‐MRI data

By Peter J. Basser, Sinisa Pajevic, Carlo Pierpaoli, J. Duda, Akram Aldroubi. Magnetic Resonance in Medicine, 2000

3,261 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/5647a88934fd6a1c23c919c636a30e17ff143ca6

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Citations in the corpus

Diffusion MRI fiber tractography of the brain (2019, methodology): “information.(23,36) While the latter approach can save a lot of computation time, special care has to be taken if the relationship between the diffusion data and the local fiber orientation information is not linear.”
Fiber tract-based atlas of human white matter anatomy. (2004, methodology): “In this situation, the tracking tends to retain the topology: Tracts coming from the right side to a merging point stay at the right side, and tracts from the left side stay at the left side (10).”
A framework for a streamline‐based probabilistic index of connectivity (PICo) using a structural interpretation of MRI diffusion measurements (2003, background): “eigenvector field to ensure smooth and possibly higher accuracy propagation (5,8,16), although non-interpolated variants have also found application (7,17–19).”
Automated Probabilistic Reconstruction of White-Matter Pathways in Health and Disease Using an Atlas of the Underlying Anatomy (2011, background): “The curve was grown from a starting point by taking steps in directions that were determined by the diffusion orientation in the underlying voxels (Conturo et al., 1999; Mori et al., 1999; Basser et al., 2000; Poupon et al., 2000; Lazar et al., 2003).”
Functionally linked resting‐state networks reflect the underlying structural connectivity architecture of the human brain (2009, methodology): “DTI is a technique to determine the main diffusion direction of water molecules in brain tissue [Basser et al., 2000; Beaulieu and Allen 1994], enabling the reconstruction of the white matter pathways of the brain [Mori and van Zijl, 2002].”
Association fibre pathways of the brain: parallel observations from diffusion spectrum imaging and autoradiography. (2007, methodology): “Accordingly, they will not resolve separate fibre populations that cross at angles shallower than 15 [‘kissing fibres’ (Basser et al., 2000)] and they will assign local orientations with an accuracy of 7 , leading to potential errors of similar size within reconstructed trajectories.”
Tractography - where do we go from here? (2011, neutral): “…proceeded by ﬁrst ﬁtting a Gaussian model for voxel-wise diffusion, then extracting the PDD (the direction of least hindrance to diffusion predicted by the model), and using it as a surrogate for axons’ orientation within each voxel (Basser et al., 2000; Conturo et al., 1999; Jones et al., 1999a).”
Axcaliber: A method for measuring axon diameter distribution from diffusion MRI (2008, background): “One of the unresolved problems in tractography is how to follow fascicles in regions that are topologically complex, for example, at junctions where fibers cross or kiss (21).”
Global fiber reconstruction becomes practical (2011, methodology): “The reconstruction of long neuronal pathways is performed in small successive steps, either deterministically (Mori et al., 1999; Basser et al., 2000) or probabilistically (Hagmann et al.”
The Neural Architecture of the Language Comprehension Network: Converging Evidence from Lesion and Connectivity Analyses (2011, background): “With this information, it is possible to perform tractography analysis and determine the trajectories of long-distance pathways by tracing the dominant orientation of fiber groups at different points in brain white matter (Conturo et al., 1999; Basser et al., 2000; Catani et al., 2002; Mori et al., ”
Resolution of complex tissue microarchitecture using the diffusion orientation transform (DOT) (2006, positive): “Despite its modest requirements, the results achieved using DTI have been very successful in regions of the brain and spinal cord with substantial white matter coherence and have enabled the mapping of some anatomical connections in the central nervous system (e.g. Conturo et al., 1999; Mori et al.,”
Partial volume effect as a hidden covariate in DTI analyses (2011, methodology): “Deterministic FT (Basser et al., 2000) was performed in ExploreDTI (Leemans et al.”
Virtual in Vivo Interactive Dissection of White Matter Fasciculi in the Human Brain (2002, methodology): “A rapidly emerging technique in the field of DT-MRI is that of fiber tracking or “tractography” (Basser, 1998; Jones et al., 1998, 1999a; Mori et al., 1999; Poupon et al., 1999, 2000; Conturo et al., 1999; Basser et al., 2000).”
Matching Real Fabrics with Micro-Appearance Models (2015, methodology): “Approaches include tracing particles through a direction field [Basser et al. 2000], growing a level set [Parker et al.”
Task-free MRI Predicts Individual Differences in Brain Activity During Task Performance (2016, neutral): “RELATIONAL Higher-order cognition [23] MATCH [24] REL [25] MATCH-REL”
Diffusion tensor imaging: serial quantitation of white matter tract maturity in premature newborns (2004, background): “The advent of 3D diffusion tensor fiber tractography (Basser et al., 2000; Conturo et al., 1999; Mori et al., 1999; Poupon et al., 2000) may further improve tract-specific quantitation of white matter maturation by enabling the measurement of DTI parameters along the entire 3D trajectory of an…”
Automatic Tractography Segmentation Using a High-Dimensional White Matter Atlas (2007, methodology): “The streamline method of tractography estimates entire fiber trajectories by stepping along the major eigenvector direction, usually for a predefined step size (around 0.5 mm) and using the Runge-Kutta numerical integration method of order 2 or higher [2], [3], [11].”