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In this work, we explore the various Brain Neuron tracking techniques, which is one of the most significant applications of Diffusion Tensor Imaging. Tractography provides us with a non-invasive method to analyze underlying tissue…

Computer Vision and Pattern Recognition · Computer Science 2018-06-12 Nandakishore Puttashamachar , Ulas Bagci

Parcellation of white matter tractography provides anatomical features for disease prediction, anatomical tract segmentation, surgical brain mapping, and non-imaging phenotype classifications. However, parcellation does not always reach…

Computer Vision and Pattern Recognition · Computer Science 2024-09-23 Yui Lo , Yuqian Chen , Fan Zhang , Dongnan Liu , Leo Zekelman , Suheyla Cetin-Karayumak , Yogesh Rathi , Weidong Cai , Lauren J. O'Donnell

Tractography is a unique method for mapping white matter connections in the brain, but tractography algorithms suffer from an inherent trade-off between sensitivity and specificity that limits accuracy. Incorporating prior knowledge of…

Computational Engineering, Finance, and Science · Computer Science 2025-11-10 Elinor Thompson , Tiantian He , Anna Schroder , Ahmed Abdulaal , Alec Sargood , Sonja Soskic , Henry F. J. Tregidgo , Daniel C. Alexander

White Matter Tract Segmentation is imperative for studying brain structural connectivity, neurological disorders and neurosurgery. This task remains complex, as tracts differ among themselves, across subjects and conditions, yet have…

Computer Vision and Pattern Recognition · Computer Science 2026-01-21 Anoushkrit Goel , Simroop Singh , Ankita Joshi , Ranjeet Ranjan Jha , Chirag Ahuja , Aditya Nigam , Arnav Bhavsar

High-throughput methods for yielding the set of connections in a neural system, the connectome, are now being developed. This tutorial describes ways to analyze the topological and spatial organization of the connectome at the macroscopic…

Neurons and Cognition · Quantitative Biology 2011-12-23 Marcus Kaiser

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

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…

Computational Engineering, Finance, and Science · Computer Science 2016-09-14 Yu Jin , Joseph F. JaJa , Rong Chen , Edward H. Herskovits

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

While the major white matter tracts are of great interest to numerous studies in neuroscience and medicine, their manual dissection in larger cohorts from diffusion MRI tractograms is time-consuming, requires expert knowledge and is hard to…

Computer Vision and Pattern Recognition · Computer Science 2019-09-26 Jakob Wasserthal , Peter Neher , Dusan Hirjak , Klaus H. Maier-Hein

The brain white matter consists of a set of tracts that connect distinct regions of the brain. Segmentation of these tracts is often needed for clinical and research studies. Diffusion-weighted MRI offers unique contrast to delineate these…

Image and Video Processing · Electrical Eng. & Systems 2023-07-06 Hamza Kebiri , Ali Gholipour , Meritxell Bach Cuadra , Davood Karimi

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-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

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

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…

Neurons and Cognition · Quantitative Biology 2017-10-09 Matthew Cieslak , Tegan Brennan , Wendy Meiring , Lukas J. Volz , Clint Greene , Alexander Asturias , Subhash Suri , Scott T. Grafton

Brain fiber tracts are widely used in studying brain diseases, which may lead to a better understanding of how disease affects the brain. The segmentation of brain fiber tracts assumed enormous importance in disease analysis. In this paper,…

Neurons and Cognition · Quantitative Biology 2020-11-04 Chaoqing Xu , Guodao Sun , Ronghua Liang , Xiufang Xu

While the major white matter tracts are of great interest to numerous studies in neuroscience and medicine, their manual dissection in larger cohorts from diffusion MRI tractograms is time-consuming, requires expert knowledge and is hard to…

Computer Vision and Pattern Recognition · Computer Science 2018-06-15 Jakob Wasserthal , Peter F. Neher , Klaus H. Maier-Hein

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

Shape plays an important role in computer graphics, offering informative features to convey an object's morphology and functionality. Shape analysis in brain imaging can help interpret structural and functionality correlations of the human…

Computer Vision and Pattern Recognition · Computer Science 2025-04-23 Yui Lo , Yuqian Chen , Dongnan Liu , Wan Liu , Leo Zekelman , Fan Zhang , Yogesh Rathi , Nikos Makris , Alexandra J. Golby , Weidong Cai , Lauren J. O'Donnell

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

White matter parcellation classifies tractography streamlines into clusters or anatomically meaningful tracts to enable quantification and visualization. Most parcellation methods focus on the deep white matter (DWM), while fewer methods…

Computer Vision and Pattern Recognition · Computer Science 2022-02-01 Tengfei Xue , Fan Zhang , Chaoyi Zhang , Yuqian Chen , Yang Song , Nikos Makris , Yogesh Rathi , Weidong Cai , Lauren J. O'Donnell