Clinical Imaging
Our goal is to develop quantitative MRI techniques in order to detect anatomical or functional changes in the brain related to neuro-degenerative diseases. The neuro-imaging lab is currently involved in a number of clinical research protocols with close relationship between radiologists, neurologists and engineers. We are also developing advanced MR sequences and data processing tools in techniques such as :
Diffusion Tensor Imaging (DTI) : Visualization of white matter fibers (“cables” that link neurons together). Example of application : Brain connectivity assessment.
 Example of Track Density Imaging (from supersampled DTI) |
 Sub-selection of fibers |
Functional MRI (fMRI) : Resting state, block or event-related paradigm. Example of application : functional connectivity of the brain.
Default mode network
Arterial Spin Labeling (ASL) : Non-invasive Cerebral Blood Flow (CBF) measurement.
Example of graph connectivity
Structural MRI
CBF cartography
Example of cortical thickness measurment (mm)
Example of cortical complexity mapping
Resources :
- 3T Philips MRI and dedicated coils
- functional MRI devices (non-magnetic flat screen, responses pad, Psychtoolbox and Cogent 2000, …)
- Image archiving and processing platform running under Linux.
- High performance computer cluster : 13 nodes (~90 slots) for fast and heavy data processing.