Dr Tim B. Dyrby | Multi-scale imaging of the brain network: From brain networks to microstructure
Guest Lecture
- Date: Oct 18, 2018
- Time: 10:00 AM - 11:00 AM (Local Time Germany)
- Speaker: Dr Tim B. Dyrby
- Microstructure and Plasticity (MaP) group at Danish Research Centre for MRI (DRCMR), Copenhagen University Hospital Hvidovre, Denmark. Image Analysis and Computer Graphics section, Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark
- Location: MPI for Human Cognitive and Brain Sciences
- Room: Wilhelm Wundt Room (A400)
- Host: Neurophysik
- Contact: amuehlberg@cbs.mpg.de
Diffusion MRI enables insights into brain structure at different anatomical length scales. Although of its relative coarse millimetre image resolution it can provide a direct insight into the brain network via tractography. However, the microstructural environment such as axons can only be observed indirectly from a combination of the MRI sequence and biophysical modelling. Validation allows us to questioning the MRI sequence-biophysical modelling framework and its results that are based on assumptions on what we believe to be the ground truth. In this lecture, I will first discuss if it is possible simply by changing key sequence parameters of dMRI (b-value, directions and image resolution) to improve structural connectivity (SC) compared with tracers? Then, I will discuss axon diameter estimation with diffusion MRI, and the validation challenges we have to understand its observed deviation between the ground truth of today being 2D validation methods.
Diffusion MRI enables insights into brain structure at different anatomical length scales. Although of its relative coarse millimetre image resolution it can provide a direct insight into the brain network via tractography. However, the microstructural environment such as axons can only be observed indirectly from a combination of the MRI sequence and biophysical modelling. Validation allows us to questioning the MRI sequence-biophysical modelling framework and its results that are based on assumptions on what we believe to be the ground truth. In this lecture, I will first discuss if it is possible simply by changing key sequence parameters of dMRI (b-value, directions and image resolution) to improve structural connectivity (SC) compared with tracers? Then, I will discuss axon diameter estimation with diffusion MRI, and the validation challenges we have to understand its observed deviation between the ground truth of today being 2D validation methods. Poster