DICOM Miniproject

A Python-based tool for writing metadata into DICOM files while adhering to strict medical imaging standards.

🧠 Project Overview

This project was a hands-on introduction to working with DICOM (Digital Imaging and Communications in Medicine) files — a widely adopted standard in the field of medical imaging. The goal was to create a lightweight Python script that could insert or update metadata inside existing DICOM files, such as patient information, study descriptions, or modality details.

🎯 Objectives

• Learn how to programmatically read and write DICOM metadata.
• Understand the structure and compliance rules of DICOM standards.
• Gain experience in handling real medical data formats used in hospitals and research centers.

🛠️ Technologies Used

• Python
• pydicom: A powerful Python library for parsing and modifying DICOM files.
• DICOM standard documentation: Used to ensure compliance with required tag formatting and encoding rules.

⚙️ Key Features

• Load and inspect DICOM headers.
• Modify or insert fields like:
  • Patient Name
  • Study Date
  • Institution Name
  • Custom Notes or Identifiers
• Save updated files while preserving image data integrity.

🚀 What I Learned

• How DICOM files structure both image data and metadata within standardized tag-based formats.
• The critical importance of data integrity and privacy in medical applications.
• Practical use of pydicom to manipulate sensitive data safely and accurately.
• The role of standards compliance in interoperability between medical systems (e.g. PACS).

💬 Final Thoughts

Even though this was a small-scale project, it laid the foundation for understanding how medical imaging systems store and manage patient data. This kind of tool can serve as a building block for larger applications like anonymization pipelines, research databases, or clinical workflow automation.