Open layerfMRI opened 2 years ago
could you please provide leader's names. Did you register to discord?
I removed the image from the description, hope that's fine
The name is included now: Twitter handle: @layerfmri, Name: Renzo Huber, Discortd handle: renzohuber #8546 Including the Discord username.
Thank you for submitting the project! We have 35 projects right now, woohoo! But that means the projects pitches will have to be short. We will give you tomorrow 2 minutes to pitch your project, you can have one slide or no slides! If you decide to use a slide, please include the link to the slide here.
And don't worry, you will still have more time to talk about your project during the BrainHack :-)
Thanks, Please find the slide here: https://docs.google.com/presentation/d/1jdt0agScrEZAqIFh-2q059y7yCF9iphT/edit?usp=sharing&ouid=118282357829216387805&rtpof=true&sd=true
I hope I will figure out how the present virtually by then.
Work in progress: creating BIDS compatible VASO dataset
Title
MOSAIC for VASO fMRI
Short description and the goals for the OHBM BrainHack
Vascular Space Occupancy is an fMRI method that is popular for high-resolution layer-fMRI. Currently, the most popular sequence is the one by Rüdiger Stirnberg from the DZNE in Bonn, which is actively being employed at more than 30 sites.
This sequence concomitantly acquires fMRI BOLD and blood volume signals. In the SIEMENS reconstruction pipeline, these signals are mixed together within the same time series, which challenges its user friendliness. Specifically:
The goal of this Hackathon is to extend the 3D-MOSAIC to solve these constraints. This functor is commonly used to sort images by echo-times, by RF-channels, by magnitude and phase in the SIEMENS reconstruction pipeline into sets of mosaics . However currently, this functor does not yet support the dimensionality of SETs. In this project we seek to include SETs into the capabilities of the functor.
Acknowledgements:
This project is based on previous tests by Rüdiger Stirnberg and Philipp Ehses to isolate the cause of the problem. This project will be based on the mosaic functor that was originally developed by Ben Poser and is currently being further extended by Philipp Ehses. The compatibility of the “raw” data with BIDS are supported by BIDS extensions spear-headed by Remi Gau and supported by Daniel Handwerker. The Hackathon logistics across various internet platforms are kindly guided by our Hackathon mentor Faruk Gulban.
Link to the Project
https://layerfmri.com/hackathon22/
Image for the OHBM brainhack website
https://layerfmri.files.wordpress.com/2022/05/image-01.png
Project lead
Twitter handle: @layerfmri, Name: Renzo Huber, Discort Handle: renzohuber #8546 Twitter handle: @ofgulban, Name: Omer Faruk Gulban,
Main Hub
Europe / Middle East / Africa
Other Hub covered by the leaders
Skills
Recommended tutorials for new contributors
Good first issues
Reconstructing an example TWIX files from raw k-space data to images. Understanding the logistics of the MOSAIC functor in his current form.
Twitter summary
We are extending the MOSAIC functor in SIEMENS MRI reconstruction to support concomitantly acquired VASO and BOLD with BIDS compatibility. @layerfmri @ofgulban @mriphilipp @HighOnField @RemiGau
Short name for the Discord chat channel (~15 chars)
VASO-MOSAIC
Please read and follow the OHBM Code of Conduct