The SCIL longitudinal multimodal MRI database is a single-center, repeated-measure study that collects multimodal MRI data with a high number of acquisitions over a short period of time in healthy subjects. This dataset includes :
- anatomical image (3DT1)
- multi-shell diffusion weighted images (DWI)
- inhomogeneous MT images (ihMT - MTI)
This site provides a description of the average values for MRI measurements that can be generated by the tools developed by the Sherbrooke Connectivity Imaging Lab (SCIL)
The SCIL tools are open-source here: scilpy. Full documentation, including installation, a description of the scilpy tools and pipelines can be found SCIL documentation.
Tools used for images processing are listed below and available on SCIL github :
A description of the variability and consistency of MRI measurements over time has been published:
Edde M., Theaud G., [...] and Descoteaux M. High-frequency longitudinal white matter diffusion- & myelin-based MRI database: reliability and variability, currently. https://onlinelibrary.wiley.com/doi/10.1002/hbm.26310
:download:`PDF<./download/Edde2023_HBM_HighFrequencyLongitudinal.pdf>`
Results of consistency analyzes could also be find here.
.. toctree:: :maxdepth: 1 :caption: Database database/data_description
.. toctree:: :maxdepth: 1 :caption: Pipeline pipeline/mri_processing pipeline/evaluation_metrics
.. toctree:: :maxdepth: 1 :caption: Whole brain whole_brain/average_maps whole_brain/scatter whole_brain/boxplot
.. toctree:: :maxdepth: 1 :caption: Bundles bundles/af
.. toctree:: :maxdepth: 1 :caption: Download data/download .. toctree:: :maxdepth: 1 :caption: Data Sharing data/sharing_policy