QuantConn: Quantitative Connectivity through Harmonized Preprocessing of Diffusion MRI
Update from the Team (15 AUG 2023)
For those interested, we have a distortion corrected version of the data available under "Testing_preprocessed" and "Training Preprocessed"! This data has been distortion corrected using PreQual (https://github.com/MASILab/PreQual).
We have provided DW images from two sites with very different acquisition protocols. Your team is tasked with making these two sites as similar as possible, or “harmonizing” them. There is no limit to what methods you can use! For example, we envision explicit image harmonization methods, denoising approaches, super resolution, and anything within the preprocessing pipeline that retain biological differences while mitigating differences due to different acquisition protocols. In summary:
- Participants can do any preprocessing and/or harmonization to the data that they think might minimize differences between scanners.
- Harmonization can be from A to B (or vice versa), or to any desired space.
- Data from both sites can be submitted at any resolution, reconstructed with any associated b-table, and in any desired space.
- Evaluation will be performed on the submitted datasets only (test dataset, N=25), and in the space dataset is submitted in.
How to submit
24-48 hours after registering with the form above, you will receive an email from our team with a link to a box folder specific to your team. Upload your DW images, bvecs, and bvals to this folder. You only need to process the 25 subjects in the "Testing" folder. Once done, send an email to email@example.com with your team's report! Please title the email with "MICCAI 2023 Challenge Submission – [YOUR TEAM NAME]".
We provided two example submissions in the correct format and associated report ("TesSubmission_1" and "TestSubmission_2"). Please keep the same directory organization as the data provided. Note: TestSubmission_2 is ~50GB and may not download in one go. We suggest downloading a single subject, if needed.
Link to report template: CLICK HERE
Link to data: CLICK HERE
|September 8, 2023
||Deadline to submit report