QUIQI II: Motion-Corrupted MRI Relaxometry Data for Statistical Analysis

A subset of data from the original scientific publication by Corbin et al. supports the QUIQI method for analyzing motion-corrupted MRI relaxometry data. The package includes analysis results computed by running the original publication's code on the provided data subset. Quentin Raynaud from the University of Lausanne authored this supporting material.

Use Cases

• Replicating statistical analyses of motion-corrupted MRI data based on the provided subset and results.
• Benchmarking new motion-correction algorithms against the analysis results included in the package.
• Studying the impact of motion artifacts on MRI relaxometry measurements using the provided data.
• Teaching statistical methods for medical imaging data with a real, published dataset and associated code.

Strengths

• Includes analysis results generated by the original publication's code, enabling direct verification.
• Data is directly linked to a specific scientific article (doi: 10.5281/zenodo.7612032), providing clear context.
• Part of a complete support package designed for computational reproducibility.

Limitations

• Row count, file formats, and column-level documentation are unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.
• The provided material is only a subset of the data used in the original publication.

Provenance

Source

University of Lausanne

Collection Method

Subset of data collected and used for the original scientific publication.