Composite hindered and restricted model of diffusion (CHARMED) MR imaging of the human brain

By Yaniv Assaf, Peter J. Basser. NeuroImage, 2005

939 citations recorded by the source corpus.

Subfields: Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/9df8eff4efc5933b1db957ae61f8ddd8b315b79c

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In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

Axcaliber: A method for measuring axon diameter distribution from diffusion MRI (2008, methodology): “In contrast to the hindered diffusion, the diffusion within the fibers can be modeled using different algorithms depending on the choice of experimental con ditions (36,37).”
White matter integrity, fiber count, and other fallacies: The do's and don'ts of diffusion MRI (2013, methodology): “Assaf and Basser (Assaf and Basser, 2005; Assaf et al., 2004) proposed a framework combining elements”
Deterministic and Probabilistic Tractography Based on Complex Fibre Orientation Distributions (2009, methodology): “Most of these methods produce representations of water molecule diffusion as a function of direction such as in the cases of Diffusion Spectrum Imaging (DSI) [6], Q-Ball Imaging (QBI) [7], Composite Hindered and Restricted Model of Diffusion (CHARMED) [8], Persistent Angular Structure (PAS) [9] Diff”
In vivo histology of the myelin g-ratio with magnetic resonance imaging (2015, background): “, 2013), the “composite hindered and restricted model of diffusion” (CHARMED) (Assaf and Basser, 2005), “neurite orientation dispersion and density imaging” (NODDI) (Zhang et al.”
The Development of Brain White Matter Microstructure (2018, methodology): “These include the composite hindered and restricted CHARMED model (Assaf and Basser, 2005) and neurite orientation dispersion and density imaging (NODDI) (Zhang et al.”
Probabilistic diffusion tractography with multiple fibre orientations: What can we gain? (2006, positive): “This model can be shown to estimate multiple fibre orientations with lower uncertainty (and hence a better fit to the data) than a model which ignores the restricted component (Assaf and Basser, 2005).”
Quantitative evaluation of 10 tractography algorithms on a realistic diffusion MR phantom (2011, methodology): “An incomplete list includes the Q-ball model (Tuch, 2004), the composite hindered and restricted model of diffusion (CHARMED) (Assaf and Basser, 2005), the diffusion orientation transform (DOT) (Özarslan et al.”
Advances in diffusion MRI acquisition and processing in the Human Connectome Project (2013, background): “Other options include sampling of multiple spheres (shells) (Assaf and Basser, 2005; Wu and Alexander, 2007) or of Cartesian grids (Wedeen et al., 2005).”
Compartment models of the diffusion MR signal in brain white matter: A taxonomy and comparison (2012, neutral): “The taxonomy includes models from previous studies such as " BallStick " (Behrens et al., 2003), CHARMED (Assaf and Basser, 2005; Assaf et al., 2008) as used in AxCaliber, which is the " TensorGDRCylinders " model, the simplified version of CHARMED as used in Alexander (2008), which is the " Zeppeli”
Generalized <formula formulatype="inline"><tex Notation="TeX">${ q}$</tex></formula>-Sampling Imaging (2010, background): “composite hindered and restricted model [16], [17], diffusion kurtosis model [18]–[20], and spherical harmonic deconvolution [21]–[24].”
Apparent Fibre Density: A novel measure for the analysis of diffusion-weighted magnetic resonance images (2012, methodology): “The AFD is based on the widely-used assumption that intra-axonal water is restricted in the radial direction (Stanisz et al., Jan., 1997; Alexander, Aug., 2008; Alexander et al., 2010; Assaf and Basser, 2005; Assaf et al., 2008; Barazany et al., May, 2009).”
White matter characterization with diffusional kurtosis imaging (2011, methodology): “The less elaborate CHARMED model (Assaf and Basser, 2005; Assaf et al., 2004) assumes two types of diffusion in the brain: restricted diffusion inside impermeable cylindrical axons and hindered diffusion in the extra-axonal space, allowing estimation of the compartment volume fractions…”
MRtrix: Diffusion tractography in crossing fiber regions (2012, background): “For this reason, a large number of methods have been proposed to resolve crossing fibers (Tuch et al., 2002; Jansons and Alexander, 2003; Tournier et al., 2004, 2007; Tuch, 2004; Assaf and Basser, 2005; Hosey et al., 2005; Wedeen et al., 2005; Özarslan et al., 2006; Behrens et al., 2007; Dell’Acqua ”
Automated quality control for within and between studies diffusion MRI data using a non-parametric framework for movement and distortion correction (2018, background): “…et al., 1994; Bastiani et al., 2017; Behrens et al., 2003; Tournier et al., 2007), white matter tracts (Behrens et al., 2007; Catani and Thiebaut de Schotten, 2008) and scalar measures that are sensitive to axonal density and white matter integrity (Assaf and Basser, 2005; Zhang et al., 2012).”
SANDI: A compartment-based model for non-invasive apparent soma and neurite imaging by diffusion MRI (2019, methodology): “Indeed, following a hierarchical decomposition of the tissue compartments similar to previous works (Jespersen et al., 2007; Zhang et al., 2012; Fieremans et al., 2011; Kaden et al., 2016; Assaf and Basser, 2005; Assaf et al., 2008; Alexander et al., 2010; Stanisz et al., 1997; Yablonskiy et al., 20”
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.”
Connectivity-based fixel enhancement: Whole-brain statistical analysis of diffusion MRI measures in the presence of crossing fibres (2015, methodology): “…study, the proposed CFE method can be applied to other ﬁ xel-speci ﬁ c quantitative measures derived from the ‘ composite hindered and restricted model of diffusion ’ (CHARMED) model (Assaf and Basser, 2005) and the cube and sphere multi-fascicle model (CUSP-MFM) (Scherrer and War ﬁ eld, 2012).”
Imaging brain microstructure with diffusion MRI: practicality and applications (2019, background): “The later and more general composite hindered and restricted models of diffusion (CHARMED) [140, 141] model assumes cylinders to have radii following a Gamma distribution [20] and to form one or more (crossing) bundles with distinct orientations.”