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MRI atlas of human white matter
Kenichi Oishi,Barbara J. Crain +1 more
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TLDR
MRI Atlas of Human White Matter presents an atlas to the human brain on the basis of T 1-weighted imaging and diffusion tensor imaging, which offers a full segmentation of 220 white-matter and gray-matter structures with boundaries.Abstract:
MRI Atlas of Human White Matter presents an atlas to the human brain on the basis of T 1-weighted imaging and diffusion tensor imaging. A general background on magnetic resonance imaging is provided, as well as the basics of diffusion tensor imaging. An overview of the principles and limitations in using this methodology in fiber tracking is included. This book describes the core white-matter structures, as well as the superficial white matter, the deep gray matter, and the cortex. It also presents a three-dimensional reconstruction and atlas of the brain white-matter tracts. The Montreal Neurological Institute coordinates, which are the most widely used, are adopted in this book as the primary coordinate system. The Talairach coordinate system is used as the secondary coordinate system. Based on magnetic resonance imaging and diffusion tensor imaging, the book offers a full segmentation of 220 white-matter and gray-matter structures with boundaries. * Visualization of brain white matter anatomy via 3D diffusion tensor imaging (DTI) contrasts and enhances relationship of anatomy to function* Full segmentation of 170+ brain regions more clearly defines structure boundaries than previous point-and-annotate anatomical labeling, and connectivity is mapped in a way not provided by traditional atlases* Electronic files with viewing software can be made available via CD and/or BrainNavigator, allowing readers access to raw image filesread more
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Journal ArticleDOI
Reproducibility of Quantitative Tractography Methods Applied to Cerebral White Matter
Setsu Wakana,Arvind Caprihan,Martina M. Panzenboeck,James H. Fallon,Michele E. Perry,Randy L. Gollub,Kegang Hua,Jiangyang Zhang,Hangyi Jiang,Hangyi Jiang,Prachi Dubey,Ari M. Blitz,Peter C.M. van Zijl,Peter C.M. van Zijl,Susumu Mori,Susumu Mori +15 more
TL;DR: This protocol provides guidelines for reproducible DTI-based tract-specific quantification for reconstructing major white matter tracts based on diffusion tensor imaging.
Journal ArticleDOI
Stereotaxic white matter atlas based on diffusion tensor imaging in an ICBM template
Susumu Mori,Susumu Mori,Kenichi Oishi,Hangyi Jiang,Li Jiang,Xin Li,Kazi Akhter,Kegang Hua,Andreia V. Faria,Asif Mahmood,Roger P. Woods,Arthur W. Toga,G. Bruce Pike,Pedro Rosa Neto,Alan C. Evans,Jiangyang Zhang,Hao Huang,Michael I. Miller,Peter C.M. van Zijl,John C. Mazziotta +19 more
TL;DR: White matter-specific atlases in stereotaxic coordinates are introduced and showed a high correlation between the manual ROI-based and the automated approaches for normal adult populations.
Journal ArticleDOI
Tract Probability Maps in Stereotaxic Spaces: Analyses of White Matter Anatomy and Tract-Specific Quantification
Kegang Hua,Jiangyang Zhang,Setsu Wakana,Hangyi Jiang,Xin Li,Daniel S. Reich,Peter A. Calabresi,James J. Pekar,Peter C.M. van Zijl,Susumu Mori +9 more
TL;DR: This study created a white matter parcellation atlas based on probabilistic maps of 11 major white matter tracts derived from the DTI data from 28 normal subjects, and automated tract-specific quantification of fractional anisotropy and mean diffusivity were performed.
Journal ArticleDOI
Diffusion Tensor Imaging (DTI)-based White Matter Mapping in Brain Research: A Review
Yaniv Assaf,Ofer Pasternak +1 more
TL;DR: While DTI offers a powerful tool to study and visualize white matter, it suffers from inherent artifacts and limitations and provides an efficient tool for comprehensive, noninvasive, functional anatomy mapping of the human brain.
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.