Welcome to the SCIL multimodal MRI longitudinal database

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. Acquisitions were done on a 3T Philips Ingenia system. 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)

SCIL tools

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 :

• Tractoflow

• NODDI flow

• Freewater flow

• ihMT flow

• DMRI QC Flow

• RBX flow

• Tractometry flow

Publications

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

PDF

Results of consistency analyzes can also be find here.

Database

• Data collection

Pipeline

• MRI Processing
• Bundles Evaluation

Whole brain

• Averaged measures
• Detailed distribution
• Summary of distribution

Bundles

• Arcuate Fasciculus

Download

• Download

Data Sharing

• Data sharing Policy