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Related papers: Measures of Tractography Convergence

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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…

Computer Vision and Pattern Recognition · Computer Science 2025-03-06 Yiqiong Yang , Yitian Yuan , Baoxing Ren , Ye Wu , Yanqiu Feng , Xinyuan Zhang

Tractography has become an indispensable part of brain connectivity studies. However, it is currently facing problems with reliability. In particular, a substantial amount of nerve fiber reconstructions (streamlines) in tractograms produced…

Computer Vision and Pattern Recognition · Computer Science 2023-07-25 Antonia Hain , Daniel Jörgens , Rodrigo Moreno

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…

Quantitative Methods · Quantitative Biology 2021-04-26 Fan Zhang , Alessandro Daducci , Yong He , Simona Schiavi , Caio Seguin , Robert Smith , Chun-Hung Yeh , Tengda Zhao , Lauren J. O'Donnell

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…

Machine Learning · Statistics 2016-02-01 Thien Bao Nguyen , Emanuele Olivetti , Paolo Avesani

Recent progress in diffusion MRI and tractography algorithms as well as the launch of the Human Connectome Project (HCP) have provided brain research with an abundance of structural connectivity data. In this work, we describe and evaluate…

Neurons and Cognition · Quantitative Biology 2016-06-02 Kamal Shadi , Saideh Bakhshi , David A. Gutman , Helen S. Mayberg , Constantine Dovrolis

Diffusion-weighted Magnetic Resonance Imaging (dMRI) is increasingly used to study the fetal brain in utero. An important computation enabled by dMRI is streamline tractography, which has unique applications such as tract-specific analysis…

Computer Vision and Pattern Recognition · Computer Science 2024-03-06 Camilo Calixto , Camilo Jaimes , Matheus D. Soldatelli , Simon K. Warfield , Ali Gholipour , Davood Karimi

Tractography algorithms are used extensively to delineate white matter structures, by operating on the voxel-wise information generated through the application of diffusion tensor imaging (DTI) or other models to diffusion weighted (DW)…

Quantitative Methods · Quantitative Biology 2024-03-05 Richard G. Carson , Alexander Leemans

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…

Image and Video Processing · Electrical Eng. & Systems 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 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…

Computer Vision and Pattern Recognition · Computer Science 2025-09-23 Itzik Waizman , Yakov Gusakov , Itay Benou , Tammy Riklin Raviv

Fiber tractography is an important tool of computational neuroscience that enables reconstructing the spatial connectivity and organization of white matter of the brain. Fiber tractography takes advantage of diffusion Magnetic Resonance…

Image and Video Processing · Electrical Eng. & Systems 2020-09-08 Tomer Weiss , Sanketh Vedula , Ortal Senouf , Oleg Michailovich , AlexBronstein

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…

Computer Vision and Pattern Recognition · Computer Science 2024-08-28 Weide Liu , Camilo Calixto , Simon K. Warfield , Davood Karimi

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…

Neurons and Cognition · Quantitative Biology 2012-02-09 M. Hinne , T. Heskes , M. A. J. van Gerven

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…

Image and Video Processing · Electrical Eng. & Systems 2021-08-03 Jon Haitz Legarreta , Laurent Petit , François Rheault , Guillaume Theaud , Carl Lemaire , Maxime Descoteaux , Pierre-Marc Jodoin

We study the impact of the brain tractography false positives in the brain connectivity graphs. The representative input database for the analysis is the set of tractograms from the participants on the ISMRM-2015 Tractography Challenge. We…

Social and Information Networks · Computer Science 2023-05-26 Juan Luis Villarreal-Haro , Alonso Ramirez-Manzanares , Juan Antonio Pichardo-Corpus

Brain imaging studies have demonstrated that diffusion MRI tractography geometric shape descriptors can inform the study of the brain's white matter pathways and their relationship to brain function. In this work, we investigate the…

Computer Vision and Pattern Recognition · Computer Science 2025-02-17 Yui Lo , Yuqian Chen , Dongnan Liu , Jon Haitz Legarreta , Leo Zekelman , Fan Zhang , Jarrett Rushmore , Yogesh Rathi , Nikos Makris , Alexandra J. Golby , Weidong Cai , Lauren J. O'Donnell

Diffusion magnetic resonance imaging (dMRI) data allow to reconstruct the 3D pathways of axons within the white matter of the brain as a tractography. The analysis of tractographies has drawn attention from the machine learning and pattern…

Machine Learning · Statistics 2015-04-03 Emanuele Olivetti , Thien Bao Nguyen , Paolo Avesani

Tractograms are mathematical representations of the main paths of axons within the white matter of the brain, from diffusion MRI data. Such representations are in the form of polylines, called streamlines, and one streamline approximates…

Machine Learning · Statistics 2017-08-07 Emanuele Olivetti , Giulia Bertò , Pietro Gori , Nusrat Sharmin , Paolo Avesani

One of the main issues of the current tractography methods is their high false-positive rate. Tractogram filtering is an option to remove false-positive streamlines from tractography data in a post-processing step. In this paper, we train a…

Computer Vision and Pattern Recognition · Computer Science 2023-07-13 Daniel Jörgens , Pierre-Marc Jodoin , Maxime Descoteaux , Rodrigo Moreno

Understanding information processing in the brain requires the ability to determine the functional connectivity between the different regions of the brain. We present a method using transfer entropy to extract this flow of information…

Neurons and Cognition · Quantitative Biology 2019-03-06 Benjamin Walker , Katherine Newhall

Tractograms are virtual representations of the white matter fibers of the brain. They are of primary interest for tasks like presurgical planning, and investigation of neuroplasticity or brain disorders. Each tractogram is composed of…

Neurons and Cognition · Quantitative Biology 2020-07-10 Pietro Astolfi , Ruben Verhagen , Laurent Petit , Emanuele Olivetti , Jonathan Masci , Davide Boscaini , Paolo Avesani
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