Resolving crossing fibres using constrained spherical deconvolution: Validation using diffusion-weighted imaging phantom data

By Jacques-Donald Tournier, Chun-Hung Yeh, Fernando Calamante, Kuan-Hung Cho, Alan Connelly, Ching-Po Lin. NeuroImage, 2008

624 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/d6df13c2d617a35fc17aa6a192aafdcf594f8d45

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In Pediatrics, Perinatology and Child Health

In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

How and how not to correct for CSF-contamination in diffusion MRI (2012, positive): “Tractography (Basser et al., 2000; Catani et al., 2002) was performed using ExploreDTI (Leemans et al., 2009), using deterministic tracking based on constrained spherical deconvolution (CSD) (Tournier et al., 2004, 2007, 2008), which extracts peaks in the fibre orientational density function (fODF) ”
Diffusion Tensor Imaging and Beyond (2011, neutral): “While not necessarily a problem in itself, it does have consequences for the estimated orientations when using peaks in the spin propagator: (i) closely aligned fiber orientations will be “blurred” together and will thus be identified as a single orientation; and (ii) this can lead to a bias in the ”
Probabilistic fiber tracking using the residual bootstrap with constrained spherical deconvolution (2011, methodology): “Using CSD to extract local ﬁber orientations, our algorithm will overcome partial volume effects associated with DTI and the poor angular resolution that is achieved with other HARDI methods such as QBI [Tournier et al., 2008].”
Atlasing location, asymmetry and inter-subject variability of white matter tracts in the human brain with MR diffusion tractography (2011, neutral): “The use of novel algorithms in tractography reconstructions (e.g. spherical deconvolution) may in part overcome these limitations (Tournier et al., 2004, 2008; Dell'Acqua et al., 2007, 2010).”
A modified damped Richardson-Lucy algorithm to reduce isotropic background effects in spherical deconvolution (2010, methodology): “To quantify the presence of a possible angular bias introduced by the dRL compared to RL algorithm, following (Tournier et al., 2008), the angular error was calculated for all configurations where the RL algorithm showed at least 95% of resolved crossing.”
A review of magnetic resonance imaging and diffusion tensor imaging findings in mild traumatic brain injury (2012, methodology): “This method makes it possible now to trace multiple fiber tracts that traverse the brain and connect several different brain regions (e.g., Malcolm et al., 2010; Pasternak et al., 2008; Tournier et al., 2008).”
Investigating the prevalence of complex fiber configurations in white matter tissue with diffusion magnetic resonance imaging (2013, methodology): “Although the SNR dependencies of both CSD and bedpostx have previously been studied in great detail [Behrens et al., 2007; Tournier et al., 2007, 2008]; in this study, additional experiments were performed to select optimal reconstruction parameters tuned specifically for the data sets used in this…”
Diffusion MRI fiber tractography of the brain (2019, background): “On the same data, however, they are unlikely to outperform fODF tracking approaches.(95,98,99) For a more in‐depth discussion of the dODF in relation to the fiber orientation estimation, the reader is referred to Reference 3.”