MRIQC derivatives of the gallery of horror
Summary
The so called "gallery of horror" is a collection of very bad quality functional and structural T1-weighted MRI images corrupted by clear artifacts. This collection has been put together for educating researchers on the quality control process at the occasion of the OHBM educational courses 2018 "Reusing Public Neuroimaging Datasets".
Here we provide the derivatives of MRIQC 21.0.0rc2 (the latest pre-release at the moment of writing) run on this collection of data (Esteban et al., 2017). The derivatives contain both the MRIQC individual visual reports as well as the automatically computed image quality metrics (IQMs). Those IQMs can be found in the JSON files in the subject folders.
Downloading the data
Using DataLad
Make sure that datalad is installed on your computer. Create an account on gin and upload your public SSH key to your gin profile. Then clone the data repository using
datalad install -g git@gin.g-node.org:/cprovins/mriqc-horror-galery-derivatives
See the DataLad documentation for details.
Using gin
Create an account on gin and download the gin client. On your computer, log in using
gin login
Clone the repository using:
gin get cprovins/mriqc-horror-galery-derivatives
Large data files will not be downloaded automatically. To get them, use
gin get-content <filename>
Downloaded large files will be locked (read-only). You must unlock the files using
gin unlock <filename>
To remove the contents of a large file again, use
gin lock <filename>
gin remove-content <filename>
See here for detailed information on how to use gin.
Using git annex
Make sure git and git-annex are installed on your computer. Create an account on gin and upload your public SSH key to your gin profile. Then clone the repository using
git clone git@gin.g-node.org:/cprovins/mriqc-horror-galery-derivatives
Large data files will not be downloaded automatically. To get them, use
git annex get <filename>
Downloaded large files will be locked (read-only). You must unlock the files using
git annex unlock <filename>
To remove the contents of a large file again, use
git annex --force lock <filename>
git annex drop <filename>
See the git annex documentation for details.
Using the web browser
Download the latest release as a zip file by clicking on Releases on the main page at https://gin.g-node.org/cprovins/mriqc-horror-galery-derivatives. This zip file will contain all small (text) files only, while large data files will not be downloaded automatically and an empty placeholder will be put in their place. To get the full content of such a large file , download these files individually as needed from the web interface by clicking on them in the repository browser.
Repository structure
The individual MRIQC reports are html-format files in the root directory. These can be opened using any web-browser. There is also a folder for each participant containing a json file listing the IQMs and their values for each scan. Overall, the derivatives are organised following the BIDS standard.
Related Publications
- Esteban O, Birman D, Schaer M, Koyejo OO, Poldrack RA, Gorgolewski KJ. MRIQC: Advancing the automatic prediction of image quality in MRI from unseen sites. PLoS One. 2017 Sep 25;12(9):
e0184661. http://doi.org/10.1371/journal.pone.0184661. PMID: 28945803; PMCID: PMC5612458.
Licensing
MRIQC derivatives of the gallery of horror by Lausanne University Hospital, Rue centrale 7,1003 Lausanne, Switzerland is licensed under a CC0 1.0 Universal (CC0 1.0)
Public Domain Dedication license.
See the LICENSE.txt or LICENSE files for the full license.
