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In the present work, we use information theory to understand the empirical convergence rate of tractography, a widely-used approach to reconstruct anatomical fiber pathways in the living brain. Based on diffusion MRI data, tractography is…

定量方法 · 定量生物学 2018-06-13 Daniel Moyer , Paul M. Thompson , Greg Ver Steeg

In structural brain networks the connections of interest consist of white-matter fibre bundles between spatially segregated brain regions. The presence, location and orientation of these white matter tracts can be derived using diffusion…

神经元与认知 · 定量生物学 2012-02-09 M. Hinne , T. Heskes , M. A. J. van Gerven

Diffusion MRI tractography technique enables non-invasive visualization of the white matter pathways in the brain. It plays a crucial role in neuroscience and clinical fields by facilitating the study of brain connectivity and neurological…

计算机视觉与模式识别 · 计算机科学 2025-03-06 Yiqiong Yang , Yitian Yuan , Baoxing Ren , Ye Wu , Yanqiu Feng , Xinyuan Zhang

Diffusion magnetic resonance imaging (dMRI) tractography is an advanced imaging technique that enables in vivo mapping of the brain's white matter connections at macro scale. Over the last two decades, the study of brain connectivity using…

Brain connectome analysis commonly compresses high-resolution brain scans (typically composed of millions of voxels) down to only hundreds of regions of interest (ROIs) by averaging within-ROI signals. This huge dimension reduction improves…

统计方法学 · 统计学 2025-03-25 Tong Lu , Yuan Zhang , Peter Kochunov , Elliot Hong , Shuo Chen

Diffusion Magnetic Resonance Imaging (MRI) exploits the anisotropic diffusion of water molecules in the brain to enable the estimation of the brain's anatomical fiber tracts at a relatively high resolution. In particular, tractographic…

计算工程、金融与科学 · 计算机科学 2016-09-14 Yu Jin , Joseph F. JaJa , Rong Chen , Edward H. Herskovits

The brain structural connectome is generated by a collection of white matter fiber bundles constructed from diffusion weighted MRI (dMRI), acting as highways for neural activity. There has been abundant interest in studying how the…

统计方法学 · 统计学 2022-11-03 Didong Li , Phuc Nguyen , Zhengwu Zhang , David B Dunson

Brain structural networks are often represented as discrete adjacency matrices with elements summarizing the connectivity between pairs of regions of interest (ROIs). These ROIs are typically determined a-priori using a brain atlas. The…

统计计算 · 统计学 2023-08-11 William Consagra , Martin Cole , Xing Qiu , Zhengwu Zhang

Our understanding of the structure of the brain and its relationships with human traits is largely determined by how we represent the structural connectome. Standard practice divides the brain into regions of interest (ROIs) and represents…

应用统计 · 统计学 2023-06-13 Rongjie Liu , Meng Li , David B. Dunson

Diffusion magnetic resonance imaging (dMRI) and tractography provide means to study the anatomical structures within the white matter of the brain. When studying tractography data across subjects, it is usually necessary to align, i.e. to…

机器学习 · 统计学 2016-02-01 Thien Bao Nguyen , Emanuele Olivetti , Paolo Avesani

The anatomical structure of the brain can be observed via non-invasive techniques such as diffusion imaging. However, these are imperfect because they miss connections that are actually known to exist, especially long range…

神经元与认知 · 定量生物学 2015-02-25 Somwrita Sarkar , Sanjay Chawla , Donna Xu

White matter tractography is an advanced neuroimaging technique that reconstructs the 3D white matter pathways of the brain from diffusion MRI data. It can be framed as a pathfinding problem aiming to infer neural fiber trajectories from…

计算机视觉与模式识别 · 计算机科学 2025-09-23 Itzik Waizman , Yakov Gusakov , Itay Benou , Tammy Riklin Raviv

Diffusion-weighted magnetic resonance imaging (dMRI) is the only non-invasive tool for studying white matter tracts and structural connectivity of the brain. These assessments rely heavily on tractography techniques, which reconstruct…

计算机视觉与模式识别 · 计算机科学 2024-08-28 Weide Liu , Camilo Calixto , Simon K. Warfield , Davood Karimi

Diffusion MRI (dMRI) streamline tractography, the gold standard for in vivo estimation of brain white matter (WM) pathways, has long been considered indicative of macroscopic relationships with WM microstructure. However, recent advances in…

图像与视频处理 · 电气工程与系统科学 2024-03-29 Tian Yu , Yunhe Li , Michael E. Kim , Chenyu Gao , Qi Yang , Leon Y. Cai , Susane M. Resnick , Lori L. Beason-Held , Daniel C. Moyer , Kurt G. Schilling , Bennett A. Landman

White matter structures composed of myelinated axons in the living human brain are primarily studied by diffusion-weighted MRI (dMRI). These long-range projections are typically characterized in a two-step process: dMRI is used to estimate…

Purpose: Diffusion weighted MRI (dMRI) and its models of neural structure provide insight into human brain organization and variations in white matter. A recent study by McMaster, et al. showed that complex graph measures of the connectome,…

Brain connectomics is a developing field in neurosciences which strives to understand cognitive processes and psychiatric diseases through the analysis of interactions between brain regions. However, in the high-dimensional, low-sample, and…

应用统计 · 统计学 2019-11-15 Claire Donnat , Leonardo Tozzi , Susan Holmes

Diffusion MRI (dMRI) tractography enables in vivo mapping of brain structural connections, but traditional connectome generation is time-consuming and requires gray matter parcellation, posing challenges for large-scale studies. We…

图像与视频处理 · 电气工程与系统科学 2025-06-12 Marcus J. Vroemen , Yuqian Chen , Yui Lo , Tengfei Xue , Weidong Cai , Fan Zhang , Josien P. W. Pluim , Lauren J. O'Donnell

Currently, connectomes (e.g., functional or structural brain graphs) can be estimated in humans at $\approx 1~mm^3$ scale using a combination of diffusion weighted magnetic resonance imaging, functional magnetic resonance imaging and…

Current brain white matter fiber tracking techniques show a number of problems, including: generating large proportions of streamlines that do not accurately describe the underlying anatomy; extracting streamlines that are not supported by…

图像与视频处理 · 电气工程与系统科学 2021-08-03 Jon Haitz Legarreta , Laurent Petit , François Rheault , Guillaume Theaud , Carl Lemaire , Maxime Descoteaux , Pierre-Marc Jodoin
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