White matter tractography using diffusion tensor deflection

By Mariana Lazar, D. Weinstein, J. Tsuruda, K. Hasan, K. Arfanakis, Mary Elizabeth Meyerand, B. Badie, H. Rowley, V. Haughton, Aaron S. Field and 1 more. Human Brain Mapping, 2003

634 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/fe8f947fb0d77802ec49cbe81ad8236a0b80a9ff

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

Deterministic and Probabilistic Tractography Based on Complex Fibre Orientation Distributions (2009, methodology): “The most intuitive tracking algorithms are the classical deterministic Streamline (STR) tracking algorithms [24], [25], [26] and the slightly more complex Tensor Deflection (TEND) algorithms [27], [28] used in many applications.”
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”
Characterizing brain anatomical connections using diffusion weighted MRI and graph theory (2007, methodology): “To overcome these limitations, modified Streamline Tractography (mSLT) methods based on Diffusion Tensor Deflection (Weinstein et al., 1999; Lazar et al., 2003) and Probabilistic Monte-Carlo Method (Parker and Alexander, 2003) have been proposed.”
Diffusion tensor imaging of cerebral white matter: a pictorial review of physics, fiber tract anatomy, and tumor imaging patterns. (2004, methodology): “The association fiber tracts were selected by using procedures similar to those described by Lazar et al (19).”
Diffusion spectrum magnetic resonance imaging (DSI) tractography of crossing fibers (2008, methodology): “Methods to address this limitation within the DTI framework have been proposed (e.g. Behrens et al., 2003; Hagmann et al., 2003; Lazar et al., 2003; Poupon et al., 2001) but do not suggest a principled, direct and detailed imaging of complex fiber architecture.”
Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project (2013, methodology): “Example of whole brain deterministic tractography using the Tensorline algorithm (Lazar et al., 2003) as implemented in TrackVis (http://trackvis.”
A hitchhiker's guide to diffusion tensor imaging (2012, methodology): “Other deterministic algorithms are streamlining with different interpolation methods (tri-linear, second, or fourth order Runge-Kutta), tensor deﬂection, or tensorline (Weinstein et al., 1999; Basser et al., 2000; Lazar et al., 2003).”
Brain Anatomical Network and Intelligence (2009, methodology): “A tensorline tracking algorithm, which approximates the direction of fiber propagation by combining the major eigenvector of the tensor, the vector of previous propagation step and the entire tensor itself [67,68], was implemented using an in-house program Table 7.”
Diffusion Tensor Imaging and Beyond (2011, neutral): “the direction of tracking according to the diffusion tensor, rather than strictly following its major eigenvector (155).”
Conserved and variable architecture of human white matter connectivity (2011, positive): “Such tracking can be performed using a wide variety of methods including streamline tracking such as deterministic tractography (Basser et al., 2000; Conturo et al., 1999; Mori and Barker, 1999; Lazar et al., 2003) probabilistic tractography (Behrens et al.”