How does it help with patient privacy?

The skill includes specific workflows and scripts for anonymizing Protected Health Information (PHI) within DICOM tags, ensuring compliance while keeping image data intact for research.

Is pydicom a pure Python library?

Yes, pydicom is a pure Python package, which makes it highly portable and easy to integrate into Claude-driven development environments without complex binary dependencies.

Can I use this for 3D medical reconstruction?

Yes, the skill covers processing full DICOM series, sorting slices by physical location, and stacking them into 3D NumPy volumes for advanced medical analysis.

Does it support converting DICOM to web-friendly formats?

Yes, it includes code snippets for normalizing high-bit-depth medical pixel data and saving it as standard 8-bit image formats like PNG or JPEG for display.

Can this skill handle compressed DICOM files?

Yes, it provides guidance on using additional handlers like pylibjpeg and python-gdcm to process JPEG, JPEG 2000, and RLE compressed data within the pydicom framework.

Pydicom Medical Imaging

Name: Pydicom Medical Imaging
Author: Yezez9

byYezez9

0•

데이터 과학 및 ML

Processes and manipulates DICOM medical imaging data including metadata extraction, pixel array processing, and automated anonymization.

Pydicom is an essential tool for healthcare developers and researchers working with medical imaging standards. This skill enables Claude to navigate the complexities of the DICOM format, from reading basic patient metadata to processing 3D volumetric data and handling specialized compression formats like JPEG2000 or RLE. It provides structured guidance on common workflows such as protecting patient privacy (PHI) through anonymization, converting medical scans to standard image formats for visualization, and integrating with PACS systems, making it indispensable for medical AI development and radiology software engineering.

주요 기능

010 GitHub stars

02Automate DICOM anonymization to protect sensitive Patient Health Information (PHI)

03Extract and visualize pixel data from CT, MRI, X-ray, and ultrasound scans

04Convert medical DICOM files into standard formats like PNG, JPEG, and TIFF

05Process multi-frame sequences and perform 3D volume reconstruction from series

06Read and write DICOM datasets with comprehensive metadata and tag access

사용 사례

01Building radiology workflow tools for metadata extraction and PACS integration

02Ensuring HIPAA compliance through automated anonymization of imaging research data

03Developing medical AI models that require preprocessing of raw DICOM datasets

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add yezez9/research-agent pydicom

For use in Claude.ai and ChatGPT