Pydicom Medical Imaging

关于

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

• Anonymize patient information (PHI) for HIPAA-compliant research
• Read and write DICOM files and metadata datasets
• Navigate complex DICOM sequences and multi-frame volume reconstructions
• Extract pixel data for NumPy-based medical image processing
• Handle compressed DICOM transfer syntaxes (JPEG, RLE, GDCM)
• 111 GitHub stars

使用场景

• Batch anonymizing medical datasets for machine learning model training
• Automating metadata extraction for radiology report generation and analysis
• Converting MRI/CT scans to PNG or JPEG for clinical web applications