Mean apparent propagator (MAP) MRI: a novel diffusion imaging method for mapping tissue microstructure
Evren Özarslan,Cheng Guan Koay,Timothy M. Shepherd,Michal E. Komlosh,Michal E. Komlosh,M. Okan Irfanoglu,M. Okan Irfanoglu,Carlo Pierpaoli,Peter J. Basser +8 more
Reads0
Chats0
TLDR
MAP-MRI represents a new comprehensive framework to model the three-dimensional q-space MR signal and transform it into diffusion propagators, and provides several novel, quantifiable parameters that capture previously obscured intrinsic features of nervous tissue microstructure.About:
This article is published in NeuroImage.The article was published on 2013-09-01 and is currently open access. It has received 316 citations till now. The article focuses on the topics: Diffusion Anisotropy & Diffusion MRI.read more
Citations
More filters
Journal ArticleDOI
Dipy, a library for the analysis of diffusion MRI data
Eleftherios Garyfallidis,Eleftherios Garyfallidis,Matthew Brett,Bagrat Amirbekian,Ariel Rokem,Stefan van der Walt,Maxime Descoteaux,Ian Nimmo-Smith +7 more
TL;DR: Dipy aims to provide transparent implementations for all the different steps of dMRI analysis with a uniform programming interface, and has implemented classical signal reconstruction techniques, such as the diffusion tensor model and deterministic fiber tractography.
Journal ArticleDOI
Anatomical accuracy of brain connections derived from diffusion MRI tractography is inherently limited
Cibu Thomas,Cibu Thomas,Frank Q. Ye,M. Okan Irfanoglu,Pooja Modi,Kadharbatcha S. Saleem,David A. Leopold,Carlo Pierpaoli +7 more
TL;DR: The results indicate that, even with high-quality data, DWI tractography alone is unlikely to provide an anatomically accurate map of the brain connectome, and suggest that there is an inherent limitation in determining long-range anatomical projections based on voxel-averaged estimates of local fiber orientation obtained from DWI data that is likely to be overcome by improvements in data acquisition and analysis alone.
Journal ArticleDOI
Quantifying brain microstructure with diffusion MRI: Theory and parameter estimation
TL;DR: In this article, the authors review, systematize and discuss models of diffusion in neuronal tissue, by putting them into an overarching physical context of coarse-graining over an increasing diffusion length scale.
Journal ArticleDOI
Imaging brain microstructure with diffusion MRI: practicality and applications
TL;DR: The article summarizes the relevant aspects of brain microanatomy and the range of diffusion‐weighted MR measurements that provide to them and reviews the evolution of mathematical and computational models that relate the diffusion MR signal to brain tissue microstructure.
Journal ArticleDOI
Recognition of white matter bundles using local and global streamline-based registration and clustering.
Eleftherios Garyfallidis,Marc-Alexandre Côté,François Rheault,Jasmeen Sidhu,Janice Hau,Laurent Petit,David Fortin,Stephen Cunanne,Maxime Descoteaux +8 more
TL;DR: The purpose of the proposed method, named RecoBundles, is to segment white matter bundles and make virtual dissection easier to perform and robust and adaptive to incomplete data and bundles with missing components.
References
More filters
Journal ArticleDOI
Axcaliber: A method for measuring axon diameter distribution from diffusion MRI
TL;DR: A new NMR‐based approach that employs a model of water diffusion within “restricted” cylindrical axons to estimate their diameter distribution within a nerve bundle is proposed and validated by comparing the diameter distributions measured using the NMR and histological techniques on sciatic and optic nerve tissue specimens.
Journal ArticleDOI
Characterization of anisotropy in high angular resolution diffusion-weighted MRI†
TL;DR: In this representation, it is shown that isotropic diffusion, anisotropic diffusion from a single fiber, and anisotrop diffusion from multiple fiber directions fall into distinct and separable channels and can be determined for any voxel without any prior information by a spherical harmonic transform.
Journal ArticleDOI
Detection and modeling of non-Gaussian apparent diffusion coefficient profiles in human brain data.
TL;DR: This work details the observation of non‐Gaussian apparent diffusion coefficient (ADC) profiles in multi‐direction, diffusion‐weighted MR data acquired with easily achievable imaging parameters, and uses it to show that non‐ Gaussian profiles arise consistently in various regions of the human brain.
Journal ArticleDOI
Generalized diffusion tensor imaging and analytical relationships between diffusion tensor imaging and high angular resolution diffusion imaging
Evren Özarslan,Thomas H. Mareci +1 more
TL;DR: The inadequacy of the traditional rank‐2 tensor model is demonstrated with simulations, and the method is applied to excised rat brain data collected in a spin‐echo HARDI experiment.
Journal ArticleDOI
Measurement of fiber orientation distributions using high angular resolution diffusion imaging.
TL;DR: The new method addresses the problem of partial volume averaging in diffusion tensor imaging and provides a basis for more reliable estimates of fiber orientation and fractional anisotropy.