Regularization of diffusion-based direction maps for the tracking of brain white matter fascicles.

By Cyril Poupon, C. Clark, V. Frouin, J. Régis, I. Bloch, Denis Le Bihan, Jean-Francois Mangin. NeuroImage, 2000

458 citations recorded by the source corpus.

Subfields: Computational Mathematics, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/7f9a4d090ba02ddfb12d78128463a82d86034302

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In Computational Mathematics

In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

Diffusion Tensor Imaging and Beyond (2011, unknown): “Three-dimensional (3D) reconstruction technologies for white matter tracts are also developing beyond the initial deterministic line-propagation models (17-20).”
A framework for a streamline‐based probabilistic index of connectivity (PICo) using a structural interpretation of MRI diffusion measurements (2003, methodology): “Other linear methods include the voxel linking approach (10), where voxels are linked together to form a chain of connection, using the degree of coincidence of neighboring 1 to define the route of connection.”
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).”
DtiStudio: Resource program for diffusion tensor computation and fiber bundle tracking (2006, methodology): “dimensional tract reconstruction based on DTI was recently introduced, which requires further computational processing [2–9].”
Diffusion Tensor Imaging (DTI)-based White Matter Mapping in Brain Research: A Review (2007, methodology): “…principal diffusivity vector field into trajectories (partial list: Basser et al. 2000; Conturo et al. 1999; Mori et al. 1999; Catani et al. 2002; Poupon et al. 2000) and were used to reconstruct a number of large fiber bundles (e.g., the pyramidal tract, corpus callosum, and superior…”
White matter tractography using diffusion tensor deflection (2003, background): “Recent studies have attempted to reconstruct the apparent patterns of white matter tracts in both the human brain [Basser et al., 2000; Conturo et al., 1999; Jones et al., 1999; Poupon et al. 2000; Stieltjes et al. 2001; Tench et al., 2002] and the mouse brain [Mori et al.”
A framework to study the cortical folding patterns. (2004, background): “For instance, the development of MR diffusion imaging may deeply improve our understanding of the cortical connectivity (Mangin et al., 2002; Poupon et al., 2000).”
Assessment of the early organization and maturation of infants' cerebral white matter fiber bundles: A feasibility study using quantitative diffusion tensor imaging and tractography (2006, methodology): “…tractography algorithms would be interesting to consider, such as methods based on probabilistic approaches (Hagmann et al., 2003; Parker et al., 2003; Lazar and Alexander, 2005), or on the minimization of the fibers global energy, with regularization of their trajectory (Poupon et al., 2000) .”
Occipito-temporal connections in the human brain. (2003, background): “MR tractography (Basser, 1998; Jones et al., 1998, 1999; Mori et al., 1998, 1999; Conturo et al., 1999; Basser et al., 2000; Parker et al., 2002; Poupon et al., 2000) is based on diffusion tensor MRI (DT-MRI) (Basser et al., 1994) and allows white matter neuroanatomy to be studied non-invasively in…”
Probabilistic anatomical connectivity derived from the microscopic persistent angular structure of cerebral tissue (2005, methodology): “…fibre bundle orientations derived from the PAS PDF, the use of the maximum jy j $w(lK1)j does not impose a strong curvature constraint on streamline propagation (as is seen in some diffusion tensor tracking methods: Poupon et al. 2000; Tuch et al. 2001; Mangin et al. 2002; Parker et al. 2002a–c).”
Simulation of anisotropic growth of low‐grade gliomas using diffusion tensor imaging (2005, methodology): “We have increased the diffusion tensor anisotropy by varying the parameter r ( r (cid:6) 5, 10, 20, 100).”
Reproducibility of quantitative tractography methods applied to cerebral white matter (2007, methodology): “Three-dimensional tract reconstruction (tractography) based on diffusion tensor imaging (DTI) is becoming a widely-used tool to study human white matter anatomy (Basser et al., 2000; Conturo et al., 1999; Jones et al., 1999b; Lazar et al., 2003; Mori et al., 1999, 2005; Parker et al., 2002; Poupon e”
Artifacts and pitfalls in diffusion MRI (2006, methodology): “Hope is not lost, since one may also use postprocessing software to correct for image distortion and ADC miscalculation (35, 36 ).”