English
Related papers

Related papers: Assessing Streamline Plausibility Through Randomiz…

200 papers

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

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

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…

Quantitative Methods · Quantitative Biology 2018-06-13 Daniel Moyer , Paul M. Thompson , Greg Ver Steeg

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

A tractogram is a virtual representation of the brain white matter. It is composed of millions of virtual fibers, encoded as 3D polylines, which approximate the white matter axonal pathways. To date, tractograms are the most accurate white…

Computer Vision and Pattern Recognition · Computer Science 2022-12-08 Pietro Astolfi , Ruben Verhagen , Laurent Petit , Emanuele Olivetti , Silvio Sarubbo , Jonathan Masci , Davide Boscaini , Paolo Avesani

Diffusion MRI tractography is an advanced imaging technique for quantitative mapping of the brain's structural connectivity. Whole brain tractography (WBT) data contains over hundreds of thousands of individual fiber streamlines (estimated…

Image and Video Processing · Electrical Eng. & Systems 2022-07-12 Fan Zhang , Tengfei Xue , Weidong Cai , Yogesh Rathi , Carl-Fredrik Westin , Lauren J O'Donnell

Fiber tractography is a cornerstone of neuroimaging, enabling the detailed mapping of the brain's white matter pathways through diffusion MRI. This is crucial for understanding brain connectivity and function, making it a valuable tool in…

Machine Learning · Computer Science 2024-11-15 Ankita Joshi , Ashutosh Sharma , Anoushkrit Goel , Ranjeet Ranjan Jha , Chirag Ahuja , Arnav Bhavsar , Aditya Nigam

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 parcellation classifies streamlines reconstructed from diffusion MRI into anatomically defined fiber tracts for clinical and research applications. However, clinical scans often have incomplete fields of view (FOV) where brain…

Computer Vision and Pattern Recognition · Computer Science 2025-03-07 Yuqian Chen , Leo Zekelman , Yui Lo , Suheyla Cetin-Karayumak , Tengfei Xue , Yogesh Rathi , Nikos Makris , Fan Zhang , Weidong Cai , Lauren J. O'Donnell

Tractography is the process of inferring the trajectories of white-matter pathways in the brain from diffusion magnetic resonance imaging (dMRI). Local tractography methods, which construct streamlines by following local fiber orientation…

Computer Vision and Pattern Recognition · Computer Science 2025-11-18 Alec Sargood , Lemuel Puglisi , Elinor Thompson , Mirco Musolesi , Daniel C. Alexander

As tractography datasets continue to grow in size, there is a need for improved visualization methods that can capture structural patterns occurring in large tractography datasets. Transparency is an increasingly important aspect of finding…

Graphics · Computer Science 2023-08-17 Besm Osman , Mestiez Pereira , Huub van de Wetering , Maxime Chamberland

The individual course of white matter fiber tracts is an important key for analysis of white matter characteristics in healthy and diseased brains. Uniquely, diffusion-weighted MRI tractography in combination with region-based or…

Computer Vision and Pattern Recognition · Computer Science 2018-08-21 Jakob Wasserthal , Peter Neher , Klaus H. Maier-Hein

Fiber tractography on diffusion imaging data offers rich potential for describing white matter pathways in the human brain, but characterizing the spatial organization in these large and complex data sets remains a challenge. We show that…

Methodology · Statistics 2015-06-18 Brian P. Kent , Alessandro Rinaldo , Fang-Cheng Yeh , Timothy Verstynen

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

We present DeepTract, a deep-learning framework for estimating white matter fibers orientation and streamline tractography. We adopt a data-driven approach for fiber reconstruction from diffusion weighted images (DWI), which does not assume…

Computer Vision and Pattern Recognition · Computer Science 2019-10-18 Itay Benou , Tammy Riklin-Raviv

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

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

Tractography traces the peak directions extracted from fiber orientation distribution (FOD) suffering from ambiguous spatial correspondences between diffusion directions and fiber geometry, which is prone to producing erroneous tracks while…

Computer Vision and Pattern Recognition · Computer Science 2024-08-20 Yuanjing Feng , Lei Xie , Jingqiang Wang , Qiyuan Tian , Jianzhong He , Qingrun Zeng , Fei Gao

Diffusion MRI (dMRI) tractography is currently the only method for in vivo mapping of the brain's white matter (WM) connections. Tractometry is an advanced tractography analysis technique for along-tract profiling to investigate the…

Quantitative Methods · Quantitative Biology 2026-01-29 Ruixi Zheng , Wei Zhang , Yijie Li , Xi Zhu , Zhou Lan , Jarrett Rushmore , Yogesh Rathi , Nikos Makris , Lauren J. O'Donnell , Fan Zhang
‹ Prev 1 2 3 10 Next ›