The Open Source Imaging Initiative is a collaborative effort pushing open source hardware and software in medical imaging to make it available to all people.
🚨🚨REGISTRATION IS OPEN🚨🚨
Collaborate on open science tools and practices in #MRI at OpenMR Benelux 2020 #OpenMRB2020
🗓 21-23 January
📍 Nijmegen @DondersInst.
📒 Discussions, talks, hacking, workshops, demos!
Spaces are limited! Register here: https://t.co/h9lX4EbUBb
Come check out the junior fellow symposium on MR from a Global Perspective: The Underrepresented Part of the MR Spectrum and see how the open source community can contribute to solving these issues #ISMRM19
'Data and code or it didn't happen.'
An anonymous response to the survey conducted by the reproducible research study group that best summarizes our group's mission @ismrm#ismrm19
The survey results can be found here:
https://t.co/Nuo5CMVfT4
Sniffer coils, we all use them but they don’t all look this good! Support the open source movement and drop by the engineering study group meeting Thursday from 4-5pm or after the ideal to real world education on Tuesday at 15:30 to pick yours up!
#mrathon was a great success! We launched the OSI2 wiki at https://t.co/0tp27ZYhR1, the basic framework is up but let’s get together as a community and make it a useful resource for the community! Now bring on #ismrm19
Join us at MRathon hackathon taking place in Montreal on the two days before #ISMRM to share your knowledge with us and the community! Sign up here: https://t.co/i4ZZnC71DL
Lukas presenting the case for both sharing and using open source hardware and software at the #ismrm workshop on Accessible MRI. Thanks to Indian ISMRM chapter for organising such an inspirational workshop!
Mapping the magnetic field of an MRI scanner is almost impossible to do by hand, the solution? Build a robot to do it for you! A great example of utilising hardware developed by the open source MRI community @OSImaging2#lowfieldMRI
The Open Source Imaging Initiative (OSI2) is an effort to push open source hardware and software usage in MRI and related field. You can find a great collection of projects at https://t.co/cio2ScbSV1!