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Related papers: Mapping Tractography Across Subjects

200 papers

Streamline classification is essential to identify anatomically meaningful white matter tracts from diffusion MRI (dMRI) tractography. However, current streamline classification methods rely primarily on the geometric features of the…

Computer Vision and Pattern Recognition · Computer Science 2025-11-25 Haotian Yan , Bocheng Guo , Jianzhong He , Nir A. Sochen , Ofer Pasternak , Lauren J O'Donnell , Fan Zhang

Tractography from high-dimensional diffusion magnetic resonance imaging (dMRI) data allows brain's structural connectivity analysis. Recent dMRI studies aim to compare connectivity patterns across subject groups and disease populations to…

Deep learning approaches for diffusion MRI have so far focused primarily on voxel-based segmentation of lesions or white-matter fiber tracts. A drawback of representing tracts as volumetric labels, rather than sets of streamlines, is that…

Image and Video Processing · Electrical Eng. & Systems 2020-09-10 Christian Ewert , David Kügler , Anastasia Yendiki , Martin Reuter

Diffusion weighted MRI (dMRI) provides a non invasive virtual reconstruction of the brain's white matter structures through tractography. Analyzing dMRI measures along the trajectory of white matter bundles can provide a more specific…

Quantitative Methods · Quantitative Biology 2019-06-21 Samuel St-Jean , Maxime Chamberland , Max A. Viergever , Alexander Leemans

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

Traumatic brain injury (TBI) disrupts thalamocortical connectivity, contributing to cognitive impairment and post-traumatic epilepsy (PTE). This study presents a novel tractography-based framework that leverages diffusion maps to capture…

Quantitative Methods · Quantitative Biology 2025-10-21 Akul Sharma , Anand A. Joshi , Richard M. Leahy

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

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 MRI (dMRI) provides a distinctive means to probe the microstructural architecture of living tissue, facilitating applications such as brain connectivity analysis, modeling across multiple conditions, and the estimation of…

Image and Video Processing · Electrical Eng. & Systems 2025-11-20 Jongyeon Yoon , Elyssa M. McMaster , Michael E. Kim , Gaurav Rudravaram , Kurt G. Schilling , Bennett A. Landman , Daniel Moyer

The study of brain differences across Eastern and Western populations provides vital insights for understanding potential cultural and genetic influences on cognition and mental health. Diffusion MRI (dMRI) tractography is an important tool…

Fiber tracking based on diffusion weighted Magnetic Resonance Imaging (dMRI) allows for noninvasive reconstruction of fiber bundles in the human brain. In this chapter, we discuss sources of error and uncertainty in this technique, and…

Computer Vision and Pattern Recognition · Computer Science 2013-07-15 Thomas Schultz , Anna Vilanova , Ralph Brecheisen , Gordon Kindlmann

Image registration between histology and magnetic resonance imaging (MRI) is a challenging task due to differences in structural content and contrast. Too thick and wide specimens cannot be processed all at once and must be cut into smaller…

Computer Vision and Pattern Recognition · Computer Science 2017-08-29 Jonas Pichat , Juan Eugenio Iglesias , Sotiris Nousias , Tarek Yousry , Sebastien Ourselin , Marc Modat

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

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

Tracking microsctructural changes in the developing brain relies on accurate inter-subject image registration. However, most methods rely on either structural or diffusion data to learn the spatial correspondences between two or more…

Image and Video Processing · Electrical Eng. & Systems 2020-05-15 Irina Grigorescu , Alena Uus , Daan Christiaens , Lucilio Cordero-Grande , Jana Hutter , A. David Edwards , Joseph V. Hajnal , Marc Modat , Maria Deprez

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

Magnetic resonance (MR) images from multiple sources often show differences in image contrast related to acquisition settings or the used scanner type. For long-term studies, longitudinal comparability is essential but can be impaired by…

Image and Video Processing · Electrical Eng. & Systems 2023-03-16 Alicia Durrer , Julia Wolleb , Florentin Bieder , Tim Sinnecker , Matthias Weigel , Robin Sandkühler , Cristina Granziera , Özgür Yaldizli , Philippe C. Cattin

\hspace{2mm} Diffusion-weighted magnetic resonance imaging (dMRI) of the brain offers unique capabilities including noninvasive probing of tissue microstructure and structural connectivity. It is widely used for clinical assessment of…

Image and Video Processing · Electrical Eng. & Systems 2025-12-30 Davood Karimi , Simon K. Warfield

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

The corticospinal tract (CST) is a critically important white matter fiber tract in the human brain that enables control of voluntary movements of the body. Diffusion MRI tractography is the only method that enables the study of the anatomy…

Computer Vision and Pattern Recognition · Computer Science 2023-06-16 Jianzhong He , Fan Zhang , Yiang Pan , Yuanjing Feng , Jarrett Rushmore , Erickson Torio , Yogesh Rathi , Nikos Makris , Ron Kikinis , Alexandra J. Golby , Lauren J. O'Donnell