Fanning And Bending Sub-Voxel Structures In Diffusion MRI

We present a new model for fanning and bending white matter structures on a sub-voxel scale. We devise a parametric model of how the fibre orientation varies spatially over each sub-voxel in the voxel grid for both types of configuration. Fitting the model provides quantitative information about the degree of fanning or bending in each voxel. We demonstrate using data from a standard human brain diffusion MRI acquisition.

Author: Shahrum Nedjati-Gilani
Author: Daniel C. Alexander

Publication: International Society For Magnetic Resonance In Medicine (ISMRM) | full text (PDF)

Publication URL: http://www.cs.ucl.ac.uk/miccai/dmfc/orals/paper27.pdf

Year: 2009

Prof David Hawkes

david hawkes

David Hawkes enjoys a distinguished publishing history spanning three decades with areas of expertise in medical imaging. He has ongoing collaborations with many institutions beyond UCL, including the Institute of Cancer Research, KCL, Guys and St. Thomas, Imperial College, University of Manchester and Oxford.

Title: Professor of Biophysics and Clinical Neurophysiology

Dept: Biophysics and Clinical Neurophysiology

Regularized Super-Resolution for Diffusion MRI

Diffusion MRI provides an insight into the microstructural architecture of tissue by observing the restricted and hindered displacement of water molecules undergoing Brownian motion in vivo. By looking at the probability density function p of displacements over a fixed period of time t, inferences can be made about the tissue microstructure.

Author: Geoff J. M. Parker
Author: Daniel C. Alexander
Author: Shahrum Nedjati-Gilani

Publication: IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI) ( pp.875-878). | full text (PDF)

Year: 2008