skills.rest
gitjfmd
gitjfmdCOMMUNITY
Explore all skills by this author →
Website𝕏@jfmdidGitHub

DICOM Metadata & PHI Anonymization

Extract DICOM metadata and anonymize PHI from imaging files.

9|2|Updated Mar 3, 2026
Search Tags:#metadata#imaging#dicom#pydicom#phi-anonymization#radiology#data-deidentification
One-click install
npx skills add https://github.com/gitjfmd/open-medical-skills --skill dicom-metadata-phi-anonymization
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: DICOM Metadata & PHI Anonymization
Source: https://github.com/gitjfmd/open-medical-skills/tree/main/skills/dicom-metadata-extractor
Command: npx skills add https://github.com/gitjfmd/open-medical-skills --skill dicom-metadata-phi-anonymization

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Extract metadata from DICOM images, anonymize PHI, and streamline data sharing for research and clinical workflows.

Core Features & Use Cases

  • Metadata extraction from DICOM headers for auditing and research.
  • PHI anonymization according to standard de-identification practices.
  • Integration with pydicom to enable Python-based imaging workflows.

Quick Start

Process a DICOM file to return anonymized metadata and a PHI-free dataset.

Frequently Asked Questions about DICOM Metadata & PHI Anonymization

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract DICOM metadata and anonymize PHI for research workflows?▼

This Skill processes DICOM imaging files to extract header metadata and apply PHI anonymization rules, returning an anonymized dataset suitable for radiology research pipelines and image repositories.

What DICOM header fields are masked during PHI anonymization?▼

PHI anonymization applies standard de-identification practices to mask protected health information within DICOM headers, returning a PHI-free dataset suitable for research workflows and image repositories.

Can I use pydicom in Python to parse and de-identify DICOM datasets?▼

Yes, the Skill integrates with pydicom to enable Python-based imaging workflows, allowing you to parse DICOM headers and apply PHI anonymization rules within your existing environment.

Does this DICOM anonymization tool work for radiology image repositories?▼

Yes, the Skill is explicitly designed for radiology research pipelines and image repositories, processing DICOM imaging files to return anonymized metadata and PHI-free datasets for clinical workflows.

What is the best way to de-identify DICOM files for clinical data sharing?▼

The best way is to parse DICOM headers and apply standardized PHI masking rules to generate a de-identified dataset, ensuring protected health information is safely removed for clinical data sharing.

Do I need a specific Python environment to parse DICOM metadata and mask PHI?▼

You need a Python environment with optional pydicom integration to support DICOM header parsing and PHI anonymization, enabling your clinical and research data de-identification workflows.

Related Skills

Explore More Data & Analytics Skills→
felixboehmfelixboehm

pydicom

Read, write, and manipulate DICOM medical imaging files with pydicom.

Community
Intermediate
rubenslivrubensliv
15

pydicom

Anonymize PHI in DICOM files while preserving pixel data and metadata.

Community
Advanced
K-Dense-AIK-Dense-AI
33.0k

pydicom

Read, modify, and validate DICOM medical image pixel data and metadata in Python.

Official
Intermediate
awslabsawslabs
13

dicom-processing

Converts, organizes, and anonymizes DICOM/NIfTI medical imaging data for research workflows.

Official
Advanced