Investigating white matter fibre density and morphology using fixel-based analysis.
David Raffelt,Jacques-Donald Tournier,Robert E. Smith,David N. Vaughan,Graeme D. Jackson,Gerard R. Ridgway,Alan Connelly +6 more
TLDR
The FBM method is presented as an integral piece within a comprehensive fixel‐based analysis framework to investigate measures of fibre density, fibre‐bundle morphology (cross‐section), and a combined measure of fibredensity and cross‐section.About:
This article is published in NeuroImage.The article was published on 2017-01-01 and is currently open access. It has received 413 citations till now.read more
Citations
More filters
Journal ArticleDOI
MRtrix3: A fast, flexible and open software framework for medical image processing and visualisation
Jacques-Donald Tournier,Robert E. Smith,Robert E. Smith,David Raffelt,Rami Tabbara,Thijs Dhollander,Thijs Dhollander,Maximilian Pietsch,Daan Christiaens,Ben Jeurissen,Chun-Hung Yeh,Chun-Hung Yeh,Alan Connelly,Alan Connelly +13 more
TL;DR: A high-level overview of the features of the MRtrix3 framework and general-purpose image processing applications provided with the software is provided.
Posted ContentDOI
MRtrix3: A fast, flexible and open software framework for medical image processing and visualisation
Jacques-Donald Tournier,Robert E. Smith,Robert E. Smith,David Raffelt,Rami Tabbara,Thijs Dhollander,Thijs Dhollander,Maximilian Pietsch,Daan Christiaens,Ben Jeurissen,Chun-Hung Yeh,Chun-Hung Yeh,Alan Connelly,Alan Connelly +13 more
TL;DR: A high-level overview of the features of the MRtrix3 framework and general-purpose image processing applications provided with the software is provided.
Journal ArticleDOI
BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods
Krzysztof J. Gorgolewski,Fidel Alfaro-Almagro,Tibor Auer,Pierre Bellec,Mihai Capota,M. Mallar Chakravarty,M. Mallar Chakravarty,Nathan W. Churchill,Alexander L. Cohen,R. Cameron Craddock,Gabriel A. Devenyi,Gabriel A. Devenyi,Anders Eklund,Oscar Esteban,Guillaume Flandin,Satrajit S. Ghosh,Satrajit S. Ghosh,J. Swaroop Guntupalli,Mark Jenkinson,Anisha Keshavan,Gregory Kiar,Franziskus Liem,Pradeep Reddy Raamana,David Raffelt,Christopher J. Steele,Christopher J. Steele,Pierre-Olivier Quirion,Robert E. Smith,Stephen C. Strother,Gaël Varoquaux,Yida Wang,Tal Yarkoni,Russell A. Poldrack +32 more
TL;DR: This work introduces a framework for creating, testing, versioning and archiving portable applications for analyzing neuroimaging data organized and described in compliance with the Brain Imaging Data Structure (BIDS).
Journal ArticleDOI
Fibre-specific white matter reductions in Alzheimer's disease and mild cognitive impairment.
Remika Mito,Remika Mito,David Raffelt,Thijs Dhollander,David N. Vaughan,David N. Vaughan,J-Donald Tournier,Olivier Salvado,Amy Brodtmann,Amy Brodtmann,Amy Brodtmann,Christopher C. Rowe,Victor L. Villemagne,Victor L. Villemagne,Alan Connelly,Alan Connelly +15 more
TL;DR: A stereotypical distribution of white matter degeneration in patients with Alzheimer's disease was demonstrated, which was in line with canonical findings from other imaging modalities, and with a network-based conceptualization of the disease.
Journal ArticleDOI
Modelling white matter with spherical deconvolution: How and why?
TL;DR: This review highlights the main steps that have led the field of diffusion imaging to move from the tensor model to the adoption of diffusion and fibre orientation density functions as a more effective way to describe the complexity of white matter organization within each brain voxel.
References
More filters
Journal ArticleDOI
Cortical surface-based analysis. I. Segmentation and surface reconstruction
TL;DR: A set of automated procedures for obtaining accurate reconstructions of the cortical surface are described, which have been applied to data from more than 100 subjects, requiring little or no manual intervention.
Journal ArticleDOI
Voxel-Based Morphometry—The Methods
John Ashburner,Karl J. Friston +1 more
TL;DR: In this paper, the authors describe the steps involved in VBM, with particular emphasis on segmenting gray matter from MR images with non-uniformity artifact and provide evaluations of the assumptions that underpin the method, including the accuracy of the segmentation and the assumptions made about the statistical distribution of the data.
Journal ArticleDOI
Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data.
Stephen M. Smith,Mark Jenkinson,Heidi Johansen-Berg,Daniel Rueckert,Thomas E. Nichols,Clare E. Mackay,Kate E. Watkins,Olga Ciccarelli,M Z Cader,Paul M. Matthews,Timothy E.J. Behrens +10 more
TL;DR: TBSS aims to improve the sensitivity, objectivity and interpretability of analysis of multi-subject diffusion imaging studies by solving the question of how to align FA images from multiple subjects in a way that allows for valid conclusions to be drawn from the subsequent voxelwise analysis.
Journal ArticleDOI
Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor MRI
Peter J. Basser,Carlo Pierpaoli +1 more
TL;DR: Quantitative-diffusion-tensor MRI consists of deriving and displaying parameters that resemble histological or physiological stains, i.e., that characterize intrinsic features of tissue microstructure and microdynamics that are objective, and insensitive to the choice of laboratory coordinate system.
Journal ArticleDOI
Probabilistic diffusion tractography with multiple fibre orientations: What can we gain?
TL;DR: It is shown that multi-fibre tractography offers significant advantages in sensitivity when tracking non-dominant fibre populations, but does not dramatically change tractography results for the dominant pathways.