Diffusion tensor imaging of the brain

By Andrew L. Alexander, Jee Eun Lee, Mariana Lazar, Aaron S. Field. Neurotherapeutics, 2007

2,703 citations recorded by the source corpus.

Subfields: Orthopedics and Sports Medicine, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/a73024d68f8c38d65edb11fa4ee31b99cd471876

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In Orthopedics and Sports Medicine

In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

Characterization of Cerebral White Matter Properties Using Quantitative MRI Stains (2011, background): “…such as the B0 magnetic field strength, gradient performance and coil sensitivity, and artifacts including pulsatile (e.g., cardiac) signal fluctuations , ghosting, and distortions from B0 field inhomogeneities and eddy currents; see Alexander et al. (2007) and Tournier et al. (2011) for reviews.”
A Comprehensive Look at Coding Techniques on Riemannian Manifolds (2018, background): “It is now an accepted fact that analyzing the resulting diffusion tensors by vectorizing them deteriorates the performances heavily and can lead to solutions that are physically meaningless [1].”
Waxholm Space atlas of the Sprague Dawley rat brain (2014, positive): “Alexander et al., 2007; Malisch et al., 1991; Norris et al., 2013). But since MRI does not provide the same high level of specificity as histology, transitions in signal contrast and intensity were only recorded as boundaries if located in agreement with corresponding histologically defined boundari”
Image processing and analysis methods for the Adolescent Brain Cognitive Development Study (2018, background): “We also calculate averages of the unsmoothed intensity measures for the volumetric subcortical ROIs, in addition to the volume of each structure. dMRl Microstructural Analysis We calculate several standard measures related to microstructural tissue properties using DTI (Basser et al., 1994b; Basser ”
The Basics of Brain Development (2010, background): “…2005) example, suggests that FA reaches asymptote earliest in long projection, then commissural, and finally association fibers, the latter continuing to exhibit age-related FA increases well into adulthood (see Huppi and Dubois 2006; Mukherjee and McKinstry 2006 for reviews; Cascio et al. 2007).”
Diffusion Weighted Image Denoising Using Overcomplete Local PCA (2013, methodology): “using a tensor model yielding images of normal and abnormal white matter fiber structure and maps of brain connectivity through fiber tracking [1][2].”
A survey of MRI-based brain tumor segmentation methods (2014, methodology): “PI data [144,145] , DTI data [146,147] , and MRS data [148,149] have been used to segment brain tumor from normal tissues by the existence of machine learning methods.”