English
Related papers

Related papers: Deep Learning-Based Diffusion MRI Tractography: In…

200 papers

Doctors and researchers routinely use diffusion tensor imaging (DTI) and tractography to visualize the fibrous structure of tissues in the human body. This paper explores the connection of these techniques to the painterly rendering of…

Graphics · Computer Science 2025-11-04 Alberto Di Biase

Diffusion-weighted imaging (DWI) is a type of Magnetic Resonance Imaging (MRI) technique sensitised to the diffusivity of water molecules, offering the capability to inspect tissue microstructures and is the only in-vivo method to…

Computer Vision and Pattern Recognition · Computer Science 2024-09-17 Sheng Chen , Zihao Tang , Mariano Cabezas , Xinyi Wang , Arkiev D'Souza , Michael Barnett , Fernando Calamante , Weidong Cai , Chenyu Wang

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

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

Diffusion MRI tractography enables in vivo reconstruction of white matter (WM) pathways. Two key tasks in tractography analysis include: 1) tractogram registration that aligns streamlines across individuals, and 2) streamline clustering…

Computer Vision and Pattern Recognition · Computer Science 2026-03-12 Yijie Li , Xi Zhu , Junyi Wang , Ye Wu , Lauren J. O'Donnell , Fan Zhang

Brain nuclei are clusters of anatomically distinct neurons that serve as important hubs for processing and relaying information in various neural circuits. Fine-scale parcellation of the brain nuclei is vital for a comprehensive…

Image and Video Processing · Electrical Eng. & Systems 2025-09-03 Haolin He , Ce Zhu , Le Zhang , Yipeng Liu , Xiao Xu , Yuqian Chen , Leo Zekelman , Jarrett Rushmore , Yogesh Rathi , Nikos Makris , Lauren J. O'Donnell , Fan Zhang

We propose a geometric deep-learning-based framework, TractGeoNet, for performing regression using diffusion magnetic resonance imaging (dMRI) tractography and associated pointwise tissue microstructure measurements. By employing a point…

Computer Vision and Pattern Recognition · Computer Science 2023-07-11 Yuqian Chen , Leo R. Zekelman , Chaoyi Zhang , Tengfei Xue , Yang Song , Nikos Makris , Yogesh Rathi , Alexandra J. Golby , Weidong Cai , Fan Zhang , Lauren J. O'Donnell

Diffusion MRI tractography is an important tool for identifying and analyzing the intracranial course of cranial nerves (CNs). However, the complex environment of the skull base leads to ambiguous spatial correspondence between diffusion…

Image and Video Processing · Electrical Eng. & Systems 2024-09-23 Lei Xie , Qingrun Zeng , Huajun Zhou , Guoqiang Xie , Mingchu Li , Jiahao Huang , Jianan Cui , Hao Chen , Yuanjing Feng

White matter (WM) tract segmentation is a crucial step for brain connectivity studies. It is performed on diffusion magnetic resonance imaging (dMRI), and deep neural networks (DNNs) have achieved promising segmentation accuracy. Existing…

Image and Video Processing · Electrical Eng. & Systems 2023-09-26 Wan Liu , Chuyang Ye

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

With the growing interest in foundation models for brain signals, graph-based pretraining has emerged as a promising paradigm for learning transferable representations from connectome data. However, existing contrastive and masked…

Machine Learning · Computer Science 2026-03-10 Xinxu Wei , Rong Zhou , Lifang He , Yu Zhang

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

White matter tract segmentation is crucial for studying brain structural connectivity and neurosurgical planning. However, segmentation remains challenging due to issues like class imbalance between major and minor tracts, structural…

Computer Vision and Pattern Recognition · Computer Science 2025-01-28 Anoushkrit Goel , Bipanjit Singh , Ankita Joshi , Ranjeet Ranjan Jha , Chirag Ahuja , Aditya Nigam , Arnav Bhavsar

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

A large number of mathematical models have been proposed to describe the measured signal in diffusion-weighted (DW) magnetic resonance imaging (MRI) and infer properties about the white matter microstructure. However, a head-to-head…

Learning-based approaches, especially those based on deep networks, have enabled high-quality estimation of tissue microstructure from low-quality diffusion magnetic resonance imaging (dMRI) scans, which are acquired with a limited number…

Image and Video Processing · Electrical Eng. & Systems 2019-10-25 Yu Qin , Yuxing Li , Zhiwen Liu , Chuyang Ye

Diffusion-weighted magnetic resonance imaging (DW-MRI) is a critical imaging method for capturing and modeling tissue microarchitecture at a millimeter scale. A common practice to model the measured DW-MRI signal is via fiber orientation…

Tractography is typically performed for each subject using the diffusion tensor imaging (DTI) data in its native subject space rather than in some space common to the entire study cohort. Despite performing tractography on a population…

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…