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A Computational diffusion MRI framework for biomarker discovery in a rodent model of post-traumatic epileptogenesis

Epilepsy is a debilitating neurological disorder that directly impacts millions of people and exerts a tremendous economic burden on society at large. While traumatic brain injury (TBI) is a common cause, there remain many open questions regarding …

Reinforcement Tractography: a Hybrid Approach for Robust Segmentation of Complex Fiber Bundles

We develop and evaluate a novel hybrid tractography algorithm for improved segmentation of complex fiber bundles from diffusion magnetic resonance imaging datasets. We propose an approach inspired by reinforcement learning that combines the strengths …

Quantitative Imaging Toolkit: Software for Interactive 3D Visualization, Data Exploration, and Computational Analysis of Neuroimaging Datasets

Computational tools are increasingly important to MR imaging research, as they can make experiments more reproducible, improve our ability to share our findings and methods, and facilitate hypothesis generation. We aim to contribute a software …

Neuroimaging biomarkers of cognitive decline in healthy older adults via unified learning

Cognitive aging in healthy adults exhibits significant and heterogeneous variability. In this study, we apply a robust unified learning framework to cluster subgroups using neuroimaging data (brain volume and white matter), to identify neurological …

Bilateral Filtering of Multiple Fiber Orientations in Diffusion MRI

We present and evaluate a bilateral filter for smoothing diffusion MRI fiber orientations with preservation of anatomical boundaries and support for multiple fibers per voxel. Two challenges in the process are the geometric structure of fiber …

A Diffusion MRI Resource of 80 Age-varied Subjects with Neuropsychological and Demographic Measures

The primary purpose of this work is to provide a resource of high angular resolution diffusion MRI datasets of 80 normal volunteers aged 25-64 together with neuropsychological testing data spanning general cognitive ability, memory, and information …

Estimating constrained multi-fiber diffusion MR volumes by orientation clustering

Diffusion MRI is a valuable tool for mapping tissue microstructure; however, multi-fiber models present challenges to image analysis operations. In this paper, we present a method for estimating models for such operations by clustering fiber …

Cortical sulcal atlas construction using a diffeomorphic mapping approach

We present a geometric approach for constructing shape atlases of sulcal curves on the human cortex. Sulci and gyri are represented as continuous open curves in ℝ3, and their shapes are studied as elements of an infinite-dimensional sphere. This …

Diffeomorphic sulcal shape analysis for cortical surface registration

We present an intrinsic framework for constructing sulcal shape atlases on the human cortex. We propose the analysis of sulcal and gyral patterns by representing them by continuous open curves in R 3 . The space of such curves, also termed as the …