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Advances in functional and structural MR image analysis and implementation as FSL
TLDR
A review of the research carried out by the Analysis Group at the Oxford Centre for Functional MRI of the Brain (FMRIB) on the development of new methodologies for the analysis of both structural and functional magnetic resonance imaging data. Expand
Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data
TLDR
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. Expand
Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images
TLDR
This paper examines the optimization process in detail and demonstrates that the commonly used multiresolution local optimization methods can, and do, get trapped in local minima. Expand
A global optimisation method for robust affine registration of brain images
TLDR
It is demonstrated that the use of local optimisation methods together with the standard multi-resolution approach is not sufficient to reliably find the global minimum, so a global optimisation method is proposed that is specifically tailored to this form of registration. Expand
FSL
TLDR
The history, developments and current status of FSL are written about, and some descriptions of parts of F SL that are not well covered in the existing literature are included. Expand
Characterization and propagation of uncertainty in diffusion‐weighted MR imaging
TLDR
A fully probabilistic framework is presented for estimating local probability density functions on parameters of interest in a model of diffusion, allowing for the quantification of belief in tractography results and the estimation of the cortical connectivity of the human thalamus. Expand
Bayesian analysis of neuroimaging data in FSL
TLDR
How Bayesian techniques have made a significant impact in tackling problems such as neuroimaging problems, particularly in regards to the analysis tools in the FMRIB Software Library (FSL), is described. Expand
The minimal preprocessing pipelines for the Human Connectome Project
TLDR
The minimal preprocessing pipelines for structural, functional, and diffusion MRI that were developed by the HCP to accomplish many low level tasks, including spatial artifact/distortion removal, surface generation, cross-modal registration, and alignment to standard space are described. Expand
A multi-modal parcellation of human cerebral cortex
TLDR
Using multi-modal magnetic resonance images from the Human Connectome Project and an objective semi-automated neuroanatomical approach, 180 areas per hemisphere are delineated bounded by sharp changes in cortical architecture, function, connectivity, and/or topography in a precisely aligned group average of 210 healthy young adults. Expand
A Bayesian model of shape and appearance for subcortical brain segmentation
TLDR
A fully-automated segmentation method that uses manually labelled image data to provide anatomical training information and is assessed both quantitatively, using Leave-One-Out testing on the 336 training images, and qualitatively,Using an independent clinical dataset involving Alzheimer's disease. Expand
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