dcm2nii
OfficialConvert DICOM to NIfTI with fidelity.
AuthorCUHK-AIM-Group
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Converting clinical DICOM data into analysis-ready NIfTI volumes with preserved metadata is labor-intensive and error-prone; this skill wraps dcm2niix to automate the process and generate JSON sidecars.
Core Features & Use Cases
- High-fidelity DICOM→NIfTI conversion with JSON sidecars (and orientation/voxel preservation).
- Batch processing across subjects/series with anonymization support.
- Outputs suitable for FSL, FreeSurfer, SPM, ANTs, nnU-Net, and BIDS-ready pipelines.
Quick Start
Run the dcm2niix-based conversion on the input DICOM directory to generate NIfTI volumes and JSON sidecars in the specified output directory.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 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: dcm2nii Download link: https://github.com/CUHK-AIM-Group/NeuroClaw/archive/main.zip#dcm2nii Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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