Can I use this skill to anonymize medical data?

Yes, the skill includes specific workflows and scripts for removing or replacing Protected Health Information (PHI) from DICOM headers to maintain patient privacy.

How do I visualize DICOM images with this skill?

The skill demonstrates how to extract pixel data into NumPy arrays and apply VOI LUT windowing for proper visualization using Matplotlib or PIL.

Can this skill handle multi-frame DICOM files?

Yes, it includes patterns for processing multi-frame files (videos/series) and reconstructing 3D volumes from multiple individual slices.

What is the Pydicom Claude skill?

It is a specialized capability that enables Claude to provide expert guidance on reading, writing, and manipulating medical imaging files in the DICOM format using the Pydicom library.

Does it support compressed DICOM files?

Yes, it provides installation and implementation guidance for additional compression handlers like pylibjpeg and python-gdcm to handle various transfer syntaxes.

Pydicom Medical Imaging

Name: Pydicom Medical Imaging
Author: Microck

byMicrock

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数据科学与机器学习

Processes and manipulates medical imaging data in the DICOM standard using Python and NumPy.

The Pydicom skill empowers Claude to handle the complexities of the Digital Imaging and Communications in Medicine (DICOM) standard, the global format for healthcare imaging. It provides comprehensive guidance for reading, writing, and modifying medical files from modalities such as MRI, CT, and X-ray. Users can extract pixel data into NumPy arrays for scientific analysis, perform PHI anonymization to ensure research compliance, manage metadata tags, and convert DICOM datasets into standard web-friendly image formats. This skill is essential for developers and researchers building medical AI models, PACS integrations, or automated radiology workflows.

主要功能

01Anonymize patient information (PHI) for HIPAA-compliant research

02Read and write DICOM files and metadata datasets

03Navigate complex DICOM sequences and multi-frame volume reconstructions

04Extract pixel data for NumPy-based medical image processing

05Handle compressed DICOM transfer syntaxes (JPEG, RLE, GDCM)

06111 GitHub stars

使用场景

01Batch anonymizing medical datasets for machine learning model training

02Automating metadata extraction for radiology report generation and analysis

03Converting MRI/CT scans to PNG or JPEG for clinical web applications

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add microck/ordinary-claude-skills pydicom

For use in Claude.ai and ChatGPT

Download Skill