Diffusion tensor imaging: serial quantitation of white matter tract maturity in premature newborns

By S. Partridge, P. Mukherjee, R. G. Henry, S. Miller, Jeffrey I. Berman, Hua Jin, Ying Lu, O. Glenn, Donna M. Ferriero, A. Barkovich and 1 more. NeuroImage, 2004

361 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/7d70f1b42f88cb9990e3439d5df016166f525ccd

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In Pediatrics, Perinatology and Child Health

In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

Pediatric diffusion tensor imaging: Normal database and observation of the white matter maturation in early childhood (2006, background): “Recently, it has been shown that DTI, in which the contrast is based on structural alignment, provides more stable anatomical contrasts in pediatric brains (Baratti et al., 1999; Dubois et al., 2004; Huppi and Inder, 2001; Maas et al., 2004; McKinstry et al., 2002a; Mori et al., 2001; Mukherjee et a”
White and gray matter development in human fetal, newborn and pediatric brains (2006, methodology): “…of premature brain that is not myelinated and for which relaxation-based contrast is inadequate (Huppi et al., 1998; Neil et al., 1998; Mori et al., 2001; McKinstry et al., 2002; Mukherjee et al., 2002; Maas et al., 2004; Partridge et al., 2004; Schneider et al., 2004; Hermoye et al., 2006).”
The early development of brain white matter: a review of imaging studies in fetuses, newborns and infants. (2014, background): “In longitudinal imaging between 28 and 43 w GA (Partridge et al., 2004), early differences have been further identified between several projection and association pathways, with low mean diffusivity and high FA in cerebral peduncles, internal capsule and commissural tracts of the CC, suggesting an e”
Tract probability maps in stereotaxic spaces: Analyses of white matter anatomy and tract-specific quantification (2008, methodology): “Once a tract of interest is defined in three dimensions, we can superimpose its coordinates on MR parameter maps to perform quantitative tract-specific monitoring of pathological conditions (Virta et al., 1999; Xue et al., 1999; Stieltjes et al., 2001; Glenn et al., 2003; Wilson et al., 2003; Partri”
Atlas-based whole brain white matter analysis using large deformation diffeomorphic metric mapping: Application to normal elderly and Alzheimer’s disease participants (2009, neutral): “Recently, tractography-based image analyses have become a popular analysismethod (Glenn et al., 2003; Pagani et al., 2005; Partridge et al., 2004; Stieltjes et al., 2001; Virta et al., 1999; Wilson et al., 2003; Xue et al., 1999).”
Reproducibility of quantitative tractography methods applied to cerebral white matter (2007, methodology): “Further, by superimposing tract coordinates on various MR parameter maps such as T1, T2, magnetization transfer ratio (MTR), and diffusion anisotropy, the myelination and axonal status of individual tracts may be monitored (Glenn et al., 2003; Pagani et al., 2005; Partridge et al., 2004; Stieltjes e”
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): “FA was described to be the most sensitive marker for detecting differences between tracts in the premature brain (Partridge et al., 2004).”