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Brain network analysis plays a crucial role in diagnosing and monitoring neurodegenerative disorders such as Alzheimer's disease (AD). Existing approaches for constructing structural brain networks from diffusion tensor imaging (DTI) often…

Neurons and Cognition · Quantitative Biology 2025-05-30 Xuhang Chen , Michael Kwok-Po Ng , Kim-Fung Tsang , Chi-Man Pun , Shuqiang Wang

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

In this paper, we introduce a new dataset in the medical field of Traumatic Brain Injury (TBI), called TBI-IT, which includes both electronic medical records (EMRs) and head CT images. This dataset is designed to enhance the accuracy of…

Image and Video Processing · Electrical Eng. & Systems 2024-03-15 Jie Li , Jiaying Wen , Tongxin Yang , Fenglin Cai , Miao Wei , Zhiwei Zhang , Li Jiang

Traumatic brain injury (TBI) can cause cognitive, communication, and psychological challenges that profoundly limit independence in everyday life. Conversational Agents (CAs) can provide individuals with TBI with cognitive and communication…

Ultra-low-field (ULF) MRI is emerging as an alternative modality to high-field (HF) MRI due to its lower cost, minimal siting requirements, portability, and enhanced accessibility factors that enable large-scale deployment. Although ULF-MRI…

Measures of neuroelectric activity from each of 18 automatically identified white matter tracts were extracted from resting MEG recordings from a normative, n=588, and a chronic TBI, traumatic brain injury, n=63, cohort, 60 of whose TBIs…

Neurons and Cognition · Quantitative Biology 2018-08-31 Don Krieger , Paul Shepard , Walter Schneider , Sue Beers , Anthony Kontos , Michael Collins , David O. Okonkwo

Computer Tomography (CT) is the gold standard technique for brain damage evaluation after acute Traumatic Brain Injury (TBI). It allows identification of most lesion types and determines the need of surgical or alternative therapeutic…

Computer Vision and Pattern Recognition · Computer Science 2021-04-01 Ezequiel de la Rosa , Diana M. Sima , Thijs Vande Vyvere , Jan S. Kirschke , Bjoern Menze

The relationship between brain connections and non-imaging phenotypes is increasingly studied using deep neural networks. However, the local and global properties of brain white matter networks are often overlooked in convolutional network…

The trajectory of an individual's recovery after traumatic brain injury (TBI) is heterogeneous, with complete recovery in some cases but persistent disability in others. We hypothesized that changes in structural brain network abnormalities…

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

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

Mild traumatic brain injury is a growing public health problem with an estimated incidence of over 1.7 million people annually in US. Diagnosis is based on clinical history and symptoms, and accurate, concrete measures of injury are…

Computer Vision and Pattern Recognition · Computer Science 2018-04-13 Shervin Minaee , Yao Wang , Anna Choromanska , Sohae Chung , Xiuyuan Wang , Els Fieremans , Steven Flanagan , Joseph Rath , Yvonne W Lui

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

Prognoses of Traumatic Brain Injury (TBI) outcomes are neither easily nor accurately determined from clinical indicators. This is due in part to the heterogeneity of damage inflicted to the brain, ultimately resulting in diverse and complex…

We propose a novel and efficient algorithm to model high-level topological structures of neuronal fibers. Tractography constructs complex neuronal fibers in three dimensions that exhibit the geometry of white matter pathways in the brain.…

Computer Vision and Pattern Recognition · Computer Science 2021-08-04 S. Shailja , Angela Zhang , B. S. Manjunath

The preservation of the corticospinal tract (CST) is key to good motor recovery after stroke. The gold standard method of assessing the CST with imaging is diffusion tensor tractography. However, this is not available for most intracerebral…

The Thrombolysis in Cerebral Infarction (TICI) score is an important metric for reperfusion therapy assessment in acute ischemic stroke. It is commonly used as a technical outcome measure after endovascular treatment (EVT). Existing TICI…

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

Shape measures have emerged as promising descriptors of white matter tractography, offering complementary insights into anatomical variability and associations with cognitive and clinical phenotypes. However, conventional methods for…

Image and Video Processing · Electrical Eng. & Systems 2025-10-22 Yui Lo , Yuqian Chen , Dongnan Liu , Leo Zekelman , Jarrett Rushmore , Yogesh Rathi , Nikos Makris , Alexandra J. Golby , Fan Zhang , Weidong Cai , Lauren J. O'Donnell

Purpose: In diffusion MRI (dMRI), the volumetric and bundle analyses of whole-brain tissue microstructure and connectivity can be severely impeded by an incomplete field-of-view (FOV). This work aims to develop a method for imputing the…