Convert NIfTI volumes to single-frame DICOM series with MR/SVR tagging.
npx skills add https://github.com/CUHK-AIM-Group/NeuroClaw --skill nii2dcm
Please help me install this Agent Skill. Skill: nii2dcm Source: https://github.com/CUHK-AIM-Group/NeuroClaw/tree/main/skills/nii2dcm Command: npx skills add https://github.com/CUHK-AIM-Group/NeuroClaw --skill nii2dcm
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.
Run nii2dcm on a processed NIfTI file to produce a DICOM series in the specified output directory.
High-intent search queries and answers about installing and using this skill.
Converting NIfTI files to PACS-ready DICOM series involves transforming 3D volumes into single-frame, multi-slice 2D DICOM files. This allows research-oriented NIfTI data lacking patient metadata to be integrated, archived, and compared within clinical workflows.
Yes, you can transfer patient and study metadata from a reference DICOM to the converted NIfTI volume. This metadata mapping preserves provenance and ensures the newly generated DICOM series displays correctly alongside original clinical data in viewers.
When converting NIfTI volumes to DICOM, the process supports modality-specific tagging for MR and SVR. These tags ensure the generated single-frame DICOM series adheres to the required metadata standards for these specific imaging modalities.
NIfTI to DICOM conversion produces single-frame DICOM series from 3D volumes and carries explicit research-use-only limitations. It is intended for QA, visualization, and archiving in research pipelines rather than primary clinical diagnostics or direct patient care.
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