MRI2FEM: DICOM and FreeSurfer Data for Brain Finite Element Modeling

DICOM data and FreeSurfer recon-all generated files for mathematical modeling of the human brain. The dataset was created by Kent‐André Mardal at the University of Oslo. The temporal coverage and size of the dataset are unknown.

Use Cases

• Training finite element simulation models based on DICOM magnetic resonance images.
• Validating brain tissue segmentation and reconstruction pipelines using FreeSurfer outputs.
• Developing methods for converting neuroimaging data into computational meshes for biomechanical analysis.

Strengths

• Includes raw DICOM data, a standard format for medical imaging.
• Contains processed outputs from FreeSurfer's recon-all pipeline, a widely-used neuroimaging tool.
• Associated with a specific research project on brain modeling from MRI to simulation.

Limitations

• Row count and total dataset size are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Kent‐André Mardal, University of Oslo

Collection Method

Likely collected or generated as part of the 'Mathematical modeling of the human brain: from magnetic resonance images to finite element simulation (MRI2FEM)' research.