Compartment models of the diffusion MR signal in brain white matter: A taxonomy and comparison

By Eleftheria Laura Panagiotaki, Torben Schneider, B. Siow, Matt G. Hall, M. Lythgoe, Daniel C. Alexander. NeuroImage, 2012

455 citations recorded by the source corpus.

How researchers see this paper

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

Accelerated Microstructure Imaging via Convex Optimization (AMICO) from diffusion MRI data (2015, methodology): “A variety of approaches have been proposed in the literature; Panagiotaki et al. (2012) provide a comprehensive survey of existing techniques.”
Investigating white matter fibre density and morphology using fixel-based analysis (2017, background): “DWI models that estimate parameters related to the volume of intra-axonal restricted water are consequently of biological interest since this volume is influenced by the number of axons.”
Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project (2013, background): “…et al., 2009), dependence on neurovascular coupling (Iadecola, 2004), the presence of confounding long-range correlations of vascular origin (Mitra et al., 1997), and the complexity of water diffusion in the microenvironment of the brain (e.g. Panagiotaki et al., 2012; Van Essen et al., 2013a).”
NODDI: Practical in vivo neurite orientation dispersion and density imaging of the human brain (2012, methodology): “, cylinders of zero radius, to capture the highly restricted nature of diffusion perpendicular to neurites and unhindered diffusion along them (Behrens et al., 2003; Panagiotaki et al., 2012; Sotiropoulos et al., 2012).”
Imaging brain microstructure with diffusion MRI: practicality and applications (2019, background): “Later, Panagiotaki et al.(146) and more recently Ferizi et al.”