DICOM Image Anonymization Python Script

🔒 A simple and practical Python script for anonymizing DICOM medical imaging datasets using pydicom.

🩺 This tool demonstrates how to remove or replace common patient-identifying information (PHI) from DICOM headers while preserving the original image pixel data.

🎯 Perfect for:

• Medical physics

• Radiology research

• AI dataset preparation

• Academic projects

• DICOM learning and education

• Medical imaging workflow automation

✨ Features:

✔ Replace patient name and patient ID

✔ Remove common identifying DICOM tags

✔ Generate new DICOM UIDs

✔ Remove private vendor tags

✔ Preserve original image pixel data

✔ Lightweight and easy to understand

✔ Beginner-friendly Python example

📦 Included:

• Python anonymization script

• Example workflow

• Commented code for learning purposes

⚠️ Important Notes:

This product is intended for educational and research workflow demonstration purposes. Real-world clinical anonymization workflows may require additional validation depending on institutional, regulatory, and project requirements.

🖥 Requirements:

• Python 3

• pydicom library

📚 Great for anyone learning:

• DICOM structure

• Medical imaging informatics

• DICOM metadata handling

• Imaging data preparation for research and AI