Analysis of partial volume effects in diffusion‐tensor MRI

By Andrew L. Alexander, K. Hasan, Mariana Lazar, J. Tsuruda, D. Parker. Magnetic Resonance in Medicine, 2001

738 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/185e1dcb631cfa9303af4d539b6d59cf389fb862

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Orthopedics and Sports Medicine

In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

Q-space trajectory imaging for multidimensional diffusion MRI of the human brain (2016, neutral): “For example, crossing fibers result in lower FA and will be seen as a variation of FA in white matter [8, 9].”
Probabilistic anatomical connectivity derived from the microscopic persistent angular structure of cerebral tissue (2005, methodology): “(d) Fibre model The test functions we use in the simulations are mixtures of Gaussian densities, which model the displacement density expected in the presence of single, two and three fibre populations (Alexander et al. 2001; Frank 2002 ).”
A hitchhiker's guide to diffusion tensor imaging (2012, background): “…even more differently oriented ﬁber bundles within the same voxel (crossing, diverging, or kissing ﬁbers) lead to incorrect estimations of ﬁber directions and pathways and abrupt terminations of tracts (Wiegell et al., 2000; Alexander et al., 2001; Barrick and Clark, 2004; Descoteaux et al., 2009).”
Estimating distributed anatomical connectivity using fast marching methods and diffusion tensor imaging (2002, background): “Higher order descriptions of the diffusion phenomena present in tissue, such as multiple tensor fitting [28], [29], or the use of alternative parameterizations, such as spher-”
Pediatric diffusion tensor imaging: Normal database and observation of the white matter maturation in early childhood (2006, background): “In ‘‘fiber merging’’ areas, a mixture of fiber populations will also play a role ( Alexander et al., 2001 ).”
A framework for a streamline‐based probabilistic index of connectivity (PICo) using a structural interpretation of MRI diffusion measurements (2003, methodology): “This ADC profile (21,40) is a possible candidate for a PDF (with the probability P(k̂) being proportional to d(k̂)) for connectivity analyses, and is based solely on D (i.”
“Squashing peanuts and smashing pumpkins”: How noise distorts diffusion‐weighted MR data (2004, background): “[7] and [ 8 ], that is: FIG. 2. a shows the ADC profile obtained for a 2D tensor with mean diffusivity 0.7 103 mm2 s-1 and fractional anisotropy 0.9.”
Multi-tissue constrained spherical deconvolution for improved analysis of multi-shell diffusion MRI data (2014, neutral): “However, themodel is invalid in regions containingmultiple tracts that cross or pass very close to each other (Alexander et al., 2001, 2002; Frank, 2001, 2002; Tuch et al., 2002).”
Partial volume effect as a hidden covariate in DTI analyses (2011, background): “Reflecting the intra-voxel heterogeneity of different tissue organizations (Alexander et al., 2001; Frank, 2001; Oouchi et al., 2007), Alexander et al.”
The cingulum bundle: Anatomy, function, and dysfunction (2018, neutral): “reductions and MD increases (Alexander et al., 2001; Vos et al., 2011; Metzler-Baddeley et al., 2012a), differences between patients and controls may be overestimated and could potentially reflect atrophy rather than intrinsic white matter microstructural changes.”
Harmonization of multi-site diffusion tensor imaging data (2017, background): “Among others, the reliability of FA and MD maps have been shown to be affected by angular and spatial resolution (Zhan et al., 2010; Alexander et al., 2001; Kim et al., 2006), the number of diffusion weighting directions (Giannelli et al.”
How and how not to correct for CSF-contamination in diffusion MRI (2012, neutral): “If voxels also contain CSF, then the diffusion MRI indices may be biased so that measures of diffusivity [axial diffusivity (AD), radial diffusivity (RD) and mean diffusivity (MD)] will be elevated and measures of anisotropy, such as the fractional anisotropy (FA) will be decreased (Alexander et al.”
White matter tractography using diffusion tensor deflection (2003, background): “The planar tensor shape may appear in regions with crossing, fanning, or merging fibers [Alexander et al., 2001; Wiegell et al., 2000].”
Investigating the prevalence of complex fiber configurations in white matter tissue with diffusion magnetic resonance imaging (2013, methodology): “However, in voxels containing multiple fiber orientations, this model has been shown to be inadequate [Alexander et al., 2001, 2002; Frank, 2001, 2002; Tuch et al., 2002].”
NTU-90: A high angular resolution brain atlas constructed by q-space diffeomorphic reconstruction (2011, background): “…limitations: difficulty in resolving crossing fibers (Alexander et al., 2002; Tuch et al., 2002) and the partial volume effect, which leads to inaccurate estimation of the anisotropy index in the fiber crossing regions (Alexander et al., 2001; Barrick and Clark, 2004; Oouchi et al., 2007).”
Apparent Fibre Density: A novel measure for the analysis of diffusion-weighted magnetic resonance images (2012, background): “Reorientation is a step required during spatial normalisation of DW data so that orientation information remains anatomically correct with respect to neighbouring voxels (Alexander et al., 2001a).”