dipy-tool
OfficialDiffusion MRI tools for DWI/DTI metrics.
AuthorCUHK-AIM-Group
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Diffusion MRI data processing is complex; this Skill provides a reusable DIPY-based foundation to load DWI data (NIfTI with bvals/bvecs), apply optional masking, fit diffusion tensors, and export diffusion metrics and ROI statistics for analysis.
Core Features & Use Cases
- Load DWI NIfTI data and corresponding bvals/bvecs with shape validation
- Generate brain masks via median_otsu or apply a supplied mask
- Perform tensor fitting to obtain FA, MD, AD, and RD maps and save as NIfTI images
- Compute atlas/ROI statistics and produce CSV summaries for downstream analysis
Quick Start
Run the DIPY-based tensor metric workflow on a DWI dataset to generate FA, MD, AD, and RD maps alongside ROI statistics.
Dependency Matrix
Required Modules
dipynibabelnumpypandas
Components
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: dipy-tool Download link: https://github.com/CUHK-AIM-Group/NeuroClaw/archive/main.zip#dipy-tool Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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