Open jsheunis opened 4 years ago
This will be a joint talk by myself, Alberto Lazari (@lazaral), Agah Karakuzu (@agahkarakuzu) and Christophe Philips (@ChristophePhillips).
It will take place on Monday the 29th at 20:00 CET.
This event has been scheduled to be run on 29.06.2020, 19:00- 20:00 GMT
For more information, please go to https://ohbm.github.io/osr2020/schedule/emea
qMRI-BIDS: an extension to the brain imaging data structure for structural acquisitions that include multiple contrast
By Gilles de Hollander, University of Zurich
Abstract
Quantitative MRI (qMRI) is an emerging approach that relates biophysical models to measured MRI signal, estimating absolute physical quantities in (brain) tissue, like T1-relaxation time and local magnetic susceptibility. It allows neuroscientists to reliably compare physiologically relevant parameters across sites and timepoints. For example, qMRI parameters can be used to characterize myelinisation and iron concentration in a longitudinal multicenter brain study. Overall, qMRI can provide both clinicians and systems neuroscientists with a new arsenal of highly relevant tissue parameters describing brain structure. However, working with qMRI data calls for a well thought-out data organization, which is currently missing. In this Emergent Session, we will give a short introduction to qMRI for the uninitiated open-neuroimager (“256 shades of grey”). After this introduction, we will present our work on an extension proposal for the BIDS format that allows researchers to efficiently describe and share multimodal quantitative MRI data. Then, we will demonstrate a use case for our porposal with multi-parametric mapping (MPM) and MP2RAGE-ME datasets that have been converted into our framework. Finally, we will solicit feedback from the larger neuroimaging community to make our BIDS extension proposal more inclusive to a multitude of qMRI applications.
Useful Links
https://github.com/bids-bep001/bids-specification/ []()
Tagging @Gilles86