Modeling dendrite density from magnetic resonance diffusion measurements

By S. Jespersen, C. Kroenke, L. Østergaard, J. Ackerman, D. Yablonskiy. NeuroImage, 2007

353 citations recorded by the source corpus.

Subfields: Nuclear and High Energy Physics, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/90b96c103d87ffa31b0829c1f7cd6a3103426098

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Citations in the corpus

Compartment models of the diffusion MR signal in brain white matter: A taxonomy and comparison (2012, neutral): “Models that accommodate fibre dispersion are available (Jespersen et al., 2007; Kaden et al., 2007; Zhang et al., 2011b) and would be interesting to compare in the future, although here the aim is to identify a model for a single orientation from which to derive dispersed orientation models.”
Using diffusion imaging to study human connectional anatomy. (2009, methodology): “N eu ro by U N IV E R SI T”
SANDI: A compartment-based model for non-invasive apparent soma and neurite imaging by diffusion MRI (2019, positive): “…associated with the intra-cellular compartment ( S intra ) is mostly due to water diffusing in elongated cellular ﬁ bres, generally called neurites (Jespersen et al., 2007; Zhang et al., 2012; Fieremans et al., 2011; Kaden et al., 2016; Novikov et al., 2018a, 2019; Alexander et al., 2019),…”
Multi-compartment microscopic diffusion imaging (2016, background): “More recently, Jespersen et al. (2007, 2010) estimated the neurite density and per-dendrite/ axon diffusion coefficients in the presence of complex orientation distributions using loworder spherical harmonics, which, however, exclude mixtures of Dirac masses and are impractical for crossings of…”
Multi-tissue constrained spherical deconvolution for improved analysis of multi-shell diffusion MRI data (2014, neutral): “, 2005) or microstructural modelling (Assaf and Basser, 2005; Jespersen et al., 2007; Alexander, 2008; Assaf et al., 2008; Zhang et al., 2011, 2012)), typically only the outer shell is used, discarding potentially valuable information from the other shells.”
White matter characterization with diffusional kurtosis imaging (2011, methodology): “…of narrow cylinders (representing the axons and dendrites), allowing one to estimate the compartment volume fractions and diffusivities, as well as the intravoxel distribution of fiber orientations, as demonstrated in fixed brain tissue of the rat and baboon (Jespersen et al., 2010, 2007).”
MRI quantification of non‐Gaussian water diffusion by kurtosis analysis (2010, methodology): “Such models may be of interest either because they are motivated by a microscopic model of water diffusion in brain (49,50) or because they have desirable numerical properties (51).”
Imaging brain microstructure with diffusion MRI: practicality and applications (2019, background): “Jespersen et al.(79) first exploit this opportunity with an analytical two‐compartment model of neurites (dendrites and axons).”
A modified damped Richardson-Lucy algorithm to reduce isotropic background effects in spherical deconvolution (2010, methodology): “Some authors have included an isotropic compartment in their signal model but these methods either require multiple b-value acquisitions (Jespersen et al., 2007), or apply stronger constraints on the solution, such as a finite number of fibre orientations (Behrens et al., 2007, 2003) or known…”
Neurite density from magnetic resonance diffusion measurements at ultrahigh field: Comparison with light microscopy and electron microscopy (2009, neutral): “In the model introduced in (Jespersen et al., 2007) (Model I), the signal S consisted of two non-exchanging components, one with cylindrical symmetry describing diffusion in neurites (dendrites and axons), and a hindered component accounting for diffusion in the remaining compartments, among which f”
Investigating white matter fibre density and morphology using fixel-based analysis (2017, background): “Many DWI models assume that diffusion within axons is restricted in the radial orientation (Alexander, 2008; Assaf and Basser, 2005; Barazany et al., 2009; Jespersen et al., 2007; Lu et al., 2006; Raffelt et al., 2012b; Stanisz et al., 1997; Zhang et al., 2012), and that the exchange of water”
A pathophysiological framework of hippocampal dysfunction in ageing and disease (2011, methodology): “, an MRI-based technique that may detect white matter and dendritic integrit”
NODDI: Practical in vivo neurite orientation dispersion and density imaging of the human brain (2012, background): “In contrast, the truncated spherical harmonics series, with the maximum order of spherical harmonics set typically to 2 or 4 (Jespersen et al., 2007), cannot approximate the most coherent orientation distributions accurately (Zhang et al., 2011).”