Estimating distributed anatomical connectivity using fast marching methods and diffusion tensor imaging

By G. Parker, Claudia A. M. Gandini Wheeler-Kingshott, Gareth J. Barker. IEEE Transactions on Medical Imaging, 2002

334 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/66093f144dd0b0b1459ecde3bbc7d562e5d82fe4

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In Cognitive Neuroscience

In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

Diffusion Tensor Imaging and Beyond (2011, neutral): “Other probabilistic methods have also been proposed, including: the use of fast marching algorithms (179), front evolution methods (176), random-walk models (180), and graph-theoretic approaches (181).”
Robust determination of the fibre orientation distribution in diffusion MRI: Non-negativity constrained super-resolved spherical deconvolution (2007, background): “Based on this premise, a number of tractography algorithms have been proposed to map the path of white matter tracts in the brain (e.g. Mori et al., 1999; Conturo; et al., 1999; Parker et al., 2002; Behrens et al., 2003; Tournier et al., 2003).”
Probabilistic anatomical connectivity derived from the microscopic persistent angular structure of cerebral tissue (2005, methodology): “…methods for determining the connectivity between brain regions using information obtained from diffusion-weighted MRI (DWI) have recently been introduced (Tuch et al. 2001; Koch et al. 2002; Lazar & Alexander 2002; Parker et al. 2002a–c, 2003; Behrens et al. 2003; Parker & Alexander 2003a,b).”
Hemispheric asymmetries in language-related pathways: A combined functional MRI and tractography study (2006, methodology): “This information can be used to evaluate connectivity between voxels and to generate streamlines corresponding to estimated fiber trajectories (Basser et al., 2000; Conturo et al., 1999; Jones et al., 1999; Mori et al., 1999; Parker et al., 2002a,b; Poupon et al., 2000).”
Automated Probabilistic Reconstruction of White-Matter Pathways in Health and Disease Using an Atlas of the Underlying Anatomy (2011, methodology): “Other deterministic methods were volumetric , modeling the as a volume, and allowing it to grow in three dimensions (Jones et al., 1999; O’Donnell et al., 2002; Parker et al., 2002; Jackowski et al., 2005; Pichon et al., 2005).”
Tractography - where do we go from here? (2011, positive): “This is in the spirit of global approaches to tractography (Aganj et al., 2011; Jbabdi et al., 2007, 2008; Kreher et al., 2008; Parker et al., 2002; Reisert et al., 2011; Sotiropoulos et al., 2010b), in which the estimate of ﬁber orientation at a given voxel is informed by estimated orientations in…”
Anatomically-constrained tractography: Improved diffusion MRI streamlines tractography through effective use of anatomical information (2012, methodology): “Other methods for diffusion MRI tractography have been proposed that are not streamlines-based, such as front evolution (e.g. Jackowski et al., 2005; Parker et al., 2002, Tournier et al., 2003), geodesics (e.g. Jbabdi et al., 2008; Sepasian et al., 2012) and so-called ‘global’ tractography…”
Matching Real Fabrics with Micro-Appearance Models (2015, methodology): “2000], growing a level set [Parker et al. 2002], and simulating water diffusion in the volume [Kang and Zhang 2005].”
MRtrix: Diffusion tractography in crossing fiber regions (2012, background): “‘‘Probabilistic’’ tractography algorithms were developed to address this issue, and a number of different approaches have been proposed (Koch et al., 2002; Parker et al., 2002, 2003; Behrens et al., 2003; Tournier et al., 2003; Jones and Pierpaoli, 2005; Lazar and Alexander, 2005).”
Studying the human brain anatomical network via diffusion-weighted MRI and Graph Theory (2008, methodology): “…(DW-MRI) techniques in the last decade makes possible the noninvasive study of the anatomical circuitry of the living human brain (Mori et al., 1999; Conturo et al., 1999; Tuch, 2002; Parker et al., 2002; Koch et al., 2002; Behrens et al., 2003; Hagmann et al., 2006; Iturria-Medina et al., 2007).”
Characterizing brain anatomical connections using diffusion weighted MRI and graph theory (2007, methodology): “In contrast to SLT and mSLT methods, Level Set-Based Fast Marching (FM) techniques (Parker et al., 2002; Staempfli et al., 2006) express the tractography in terms of a wave front that emanates from a source point and whose evolution is controlled by the diffusion data.”
Conserved and variable architecture of human white matter connectivity (2011, background): “, 2003; Parker and Alexander, 2003), front evolution tracking (Parker et al., 2002; Campbell et al., 2005), and graph-based tracking (Iturria-Medina et al.”