dwi-skill - Diffusion MRI preprocessing and analysis
Plans diffusion MRI preprocessing, metric extraction, ROI statistics, tractography, and connectome workflows through delegated tool skills.
Tags
Updated: 2026-10-16Capabilities
Typical Inputs
Typical Outputs
What this skill does
- Identify diffusion input types
- Generate numbered execution plans
- Delegate steps to tool skills
- Compute diffusion tensor metrics
- Extract ROI-wise diffusion statistics
- Build tractograms and connectomes
- Validate atlas and metric spaces
- Save outputs to dwi_output
Inputs
- DICOM, NIfTI, or BIDS data
- b-values and b-vectors
- Reverse phase-encoded b0 images
- Diffusion fieldmaps
- T1-weighted structural image
- Atlas or parcellation
- Label table or LUT
- Existing metric maps
- Existing tractogram
- Analysis options
- Execution confirmation
Outputs
- Numbered execution plan
- Preprocessed diffusion files
- Diffusion metric maps
- ROI statistics CSV files
- Streamline tractograms
- Connectivity matrices
- QC reports
- Files in dwi_output/
Requirements
- NeuroClaw subagent runtime
- qsiprep-tool available
- dipy-tool available
- fsl-tool available
- claw-shell available
- Read/write access to data directories