Pydicom

소개

Pydicom enables seamless interaction with the Digital Imaging and Communications in Medicine (DICOM) standard, providing a pure Python interface for medical imaging workflows. It offers comprehensive tools for extracting pixel data from CT, MRI, and X-ray scans, manipulating complex metadata tags, and ensuring patient privacy through robust anonymization techniques. Whether you are building radiology pipelines, converting medical datasets for machine learning, or integrating with PACS systems, this skill streamlines the handling of both uncompressed and compressed DICOM formats while maintaining clinical data integrity.

주요 기능

• Extracts and manipulates multi-dimensional pixel data for medical image analysis.
• 16 GitHub stars
• Handles complex DICOM structures including sequences, multi-frame images, and 3D volume reconstruction.
• Provides automated anonymization of Protected Health Information (PHI) in medical records.
• Supports decompression and conversion of various DICOM transfer syntaxes and compression formats.
• Facilitates metadata management with comprehensive access to standard and private DICOM tags.

사용 사례

• Developing automated radiology workflows and medical image processing pipelines.
• Preparing medical datasets for research by anonymizing sensitive patient information.
• Converting DICOM files to standard formats like PNG or JPEG for visualization and reporting.