During Montreal Brainhack EDT some of the Diffusion Imaging in Python (Dipy) developers (Eleftherios, Marc-Alex and Etienne) will be available to help people learn how to analyze diffusion MRI data with the latest state-of-the-art methods available in Dipy! So, bring your datasets!
Additionally, for people who already know how to code in Python we will work during the Hackathon to extend the segmentation and visualization capabilities of Dipy. Other ideas are welcome too. Join us and share your code and ideas!
Name: Eleftherios Garyfallidis
Multimodal structural MRI analysis
Advances in MRI scans for human research have made it possible to collect a variety of scan sequences for a single subject within a single session (e.g. VBM, DWI, magnetization transfer). Currently, these are analyzed separately and conclusions are drawn by ’eye-balling’ apparent relationships, for example that an area of thicker cortex overlies white matter with increased myelination.
Labs are working on ways to integrate these data, but existing methods work best on very large datasets of thousands of participants. Most experimental researchers in cognitive neuroscience have group sizes...
The Spinal Cord Toolbox (SCT) is a comprehensive software enabling the registration of patient’s MR images on a generic template and the extraction of multi-parametric MR data in individual spinal cord tracts (http://sourceforge.net/projects/spinalcordtoolbox/). Currently, the...
The Spinal Cord Toolbox (SCT) is a comprehensive and powerful software enabling the registration of patient’s MR images on a generic template of the spinal cord (http://sourceforge.net/projects/spinalcordtoolbox/). This toolbox allows extraction of multi-parametric MRI data as...
The Neuroimaging Analysis Kit (NIAK) is a software library for the data mining of large fMRI datasets. It is developped by members and collaborators of the SIMEXP-lab at UdM. The objective of this project will be to reformat the existing documentation into a much cleaner flat...