Multi-modal Imaging


Multi-modal Imaging Research Group Print

Overall research areas
Designing multi-modal studies
Technological challenges in multi-modal imaging
Integration of EEG/fMRI/TMS/DTI/structural MRI
Image processing
Multivariate statistics

 Arnold Skimminge Hartwig R. Siebner Rasmus Larsen

Arnold Skimminge
Group leader
DRCMR, DTU informatics

Multivariate statistics
Image analysis
Multi-modal imaging

Hartwig Siebner
Group leader
DRCMR

TMS/EEG/MRI integration
Plasticity
Multimodal imaging

Rasmus Larsen
DTU informatics

Multivariate statistics
Image analysis
Statistical shape analysis




     Anne-Marie Dogonowski
Betina Vase Jensen
DRCMR, DTU informatics

Sune Darkner
DTU informatics

Anne-Marie Dogonowski
DRCMR

Resting state fMRI




Introduction
MRI is a multi-modal imaging device able to acquire structural images of the brain with different contrast, functional images during brain activation, perfusion images of blood flow in the brain, diffusion tensor imaging for analysing fiberpathways in the brain, and many other techniques. Each imaging technique has its virtues and limitations, and thus requires different considerations when combined and interpreted.

Objectives
We aim to use multi-modal imaging in all studies at DRCMR, this must however be done appropriately and with
care. We provide insigts into
- Designing studies for optimal use of available modalities
- Integrating data from every possible combination of modalities
- Development and usage of methods for multivariate statistical analysis

Selected publications

Collaborators
DTU informatics

Last Updated ( Wednesday, 03 March 2010 )
 
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