nii2dcm
OfficialNIfTI to DICOM: create PACS-ready series
System Documentation
What problem does it solve?
NIfTI files (.nii/.nii.gz) are research-oriented and lack patient metadata, making direct comparison with clinical DICOM data difficult. This skill wraps nii2dcm to convert NIfTI volumes into single-frame DICOM series (multi-slice 2D) so researchers can audit, compare, and archive results in the same clinical data ecosystem. It also supports transferring metadata from a reference DICOM when needed, and handles modality-specific tags for MR and SVR.
Core Features & Use Cases
- Converts 3D NIfTI volumes to multi-slice DICOM series with optional MR/SVR tagging.
- Copies or maps patient/study metadata from a reference DICOM to preserve provenance in clinical-style viewers.
- Useful for QA, visualization, and archiving of results alongside original clinical data in research pipelines.
Quick Start
Run nii2dcm on a processed NIfTI file to produce a DICOM series 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: nii2dcm Download link: https://github.com/CUHK-AIM-Group/NeuroClaw/archive/main.zip#nii2dcm Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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