D-BRAIN: Anatomically Accurate Simulated Diffusion MRI Brain Data

BrainWeb : Online Interface to a 3 D MRI Simulated Brain

From Diffusion MRI to Brain

An Efficient Framework for Accurate Arterial Input Selection in DSC-MRI of Glioma Brain Tumors

Introduction: Automatic arterial input function (AIF) selection has an essential role in quantification of cerebral perfusion parameters. The purpose of this study is to develop an optimal automatic method for AIF determination in dynamic susceptibility contrast magnetic resonance imaging (DSC-MRI) of glioma brain tumors by using a new preprocessing method.Material and Methods: For this study, ...

Joint brain connectivity estimation from diffusion and functional MRI data

Estimating brain wiring patterns is critical to better understand the brain organization and function. Anatomical brain connectivity models axonal pathways, while the functional brain connectivity characterizes the statistical dependencies and correlation between the activities of various brain regions. The synchronization of brain activity can be inferred through the variation of blood-oxygen-...

Computational Brain Connectivity Using Diffusion MRI

of “Computational Brain Connectivity Using Diffusion MRI” by Çağatay Demiralp, Ph.D., Brown University, May 2013. This dissertation shows that qualitative and quantitative characterization of patterned structures in brain connectivity data obtained using diffusion MRI not only improves the exploration of the intricate space of brain connectivity but also provides clinically meaningful measures,...