Brain QR Modem - A setup to stream MRI images unidirectionally to the cloud via QR code animations.

[layerfMRI]

Project info

Title: Brain QR Modem

Project lead: Renzo Huber @layerfMRI
Project co-lead: @ofgulban - Omer Faruk Gulban

Timezone: UTC+2

Description:

Have you ever been annoyed how hard it is to get brain data off the scanner? The fact that scanners usually contain private information about patients and are thus embedded in maximally restrictive clinical cyber-security environments, makes it quite complicated to get access to the data. Especially when visiting collaborative sites.

In this Hackathon project, we aim to develop a purely uni-directional (safe) data streaming “hack” to transfer MRI data directly to the cloud by means dynamic QR codes.

In the early days of the Internet, modems (modulator-demodulator) were used to (i) convert digital information into audio streams, (ii) transfer them across telephone lines, and (iii) convert them back into the digital domain. Here, we aim to do the same thing with pixel data of MRI scans. However, instead of audio signal we will use machine-readable visual information: QR codes.

Specific aims of the Brain QR modem

1. We will develop an ICE-Functor that converts pixel data to QR codes in real time
2. We will develop an Android app that converts the streamed QR coded into a series of png that are directly streamed to the cloud (Drive folder).
3. We will develop a LayNii program that converts stacks of PNG images into Nii files.

Link to project: https://layerfmri.com/brainqr/

Mattermost handle: https://mattermost.brainhack.org/brainhack/channels/hbmhack-brainqr

Goals for the OHBM Brainhack: Develop a QR-code based MRI data streaming setup from the scanner to the cloud.

Good first issues:

1. Get familiar with ICE-functor programming of SIEMENS reconstruction environment with C++.
2. Get familiar with the QR code generator code by Nayuki.
3. Install Android studio and the TXQR Tester.

Skills:

1. Android Studio
2. C++
3. Java script
4. SIEMENS scanners

Chat channel:https://mattermost.brainhack.org/brainhack/channels/hbmhack-brainqr

Project Pitch:
https://youtu.be/egWvfJF-ZIM

Image for the OHBM brainhack website:

Twitter size summary:
Brain QR Modem - A setup to stream MRI images directly to the cloud via QR code animations.

Providing easy access to MRI data, despite restrictive cyber-security decisions of clinical IT departments.
https://layerfmri.com/brainqr/
#OHBMHackathon #Brainhack #OHBM2021
include this twitter movie

Project submission

Submission checklist

Once the issue is submitted, please check items in this list as you add under 'Additional project info'

Please include the following above (all required):

• Link to your project: could be a code repository, a shared document, etc. See here
• Include your Mattermost handle (i.e. your username). If you do not have an account, please sign up here.
• Goals for the OHBM Brainhack: describe what you want to achieve during this brainhack. See here.
• Flesh out at least 2 "good first issues": those are tasks that do not require any prior knowledge about your project, could be defined as issues in a GitHub repository, or in a shared document, cf here.
• Skills: list skills that would be particularly suitable for your project. We ask you to include at least one non-coding skill, cf. here.
• Chat channel: A link to a chat channel that will be used during the OHBM Brainhack. This can be an existing channel or a new one. We recommend using the Brainhack space on mattermost, cf. here.
• Provide an image of your project for the OHBM brainhack website

You can also include information about (all optional):

• Someone co-leading the project in the timeslot you have not selected to provide additional visibility.
• Number of participants, cf. here
• Twitter-size summary of your project pitch, cf. here
• Set up a kanban board on your repository to better divide the work and keep track of things, cf here
• Project snippet for the OHBM Brainhack website, cf. here

We would like to think about how you will credit and onboard new members to your project. We recommend reading references from this section. If you'd like to share your thoughts with future project participants, you can include information about (recommended):

• Specify how will you acknowledge contributions (e.g. listing members on a contributing page).
• Provide links to onboarding documents if you have some.

QMENTA has agreed to sponsor the event and provide computational resources through their platform.

• Get in touch with QMENTA through their Brain Innovation Hub Slack space, if you think your project would benefit from their support.

[layerfMRI]

hi @ohbm/project-monitors: My project is ready!