Data & ReproScientific VisualizationK-Dense-AI/claude-scientific-skillsData & Reproduction
PY

pydicom

Maintainer K-Dense Inc. · Last updated April 1, 2026

Pydicom is a pure Python package for working with DICOM files, the standard format for medical imaging data. This skill provides guidance on reading, writing, and manipulating DICOM files, including working with pixel data, metadata, and various compression formats.

Claude CodeOpenClawNanoClawAnalysisWritingpydicomscientific-communicationpackagemedical imaging & digital pathology

Original source

K-Dense-AI/claude-scientific-skills

https://github.com/K-Dense-AI/claude-scientific-skills/tree/main/scientific-skills/pydicom

Maintainer
K-Dense Inc.
License
https://github.com/pydicom/pydicom/blob/main/LICENSE
Last updated
April 1, 2026

Skill Snapshot

Key Details From SKILL.md

2 min

Key Notes

  • Pydicom is a pure Python package for working with DICOM files, the standard format for medical imaging data. This skill provides guidance on reading, writing, and manipulating DICOM files, including working with pixel data, metadata, and various compression formats.
  • ds = pydicom.dcmread('path/to/file.dcm').

Source Doc

Excerpt From SKILL.md

When to Use This Skill

Use this skill when working with:

  • Medical imaging files (CT, MRI, X-ray, ultrasound, PET, etc.)
  • DICOM datasets requiring metadata extraction or modification
  • Pixel data extraction and image processing from medical scans
  • DICOM anonymization for research or data sharing
  • Converting DICOM files to standard image formats
  • Compressed DICOM data requiring decompression
  • DICOM sequences and structured reports
  • Multi-slice volume reconstruction
  • PACS (Picture Archiving and Communication System) integration

Installation

Install pydicom and common dependencies:

For handling compressed DICOM files, additional packages may be needed:

Reading DICOM Files

Read a DICOM file using pydicom.dcmread():

import pydicom

Use cases

  • Medical imaging files (CT, MRI, X-ray, ultrasound, PET, etc.).
  • DICOM datasets requiring metadata extraction or modification.
  • Pixel data extraction and image processing from medical scans.
  • DICOM anonymi.

Not for

  • Do not rely on this catalog entry alone for installation or maintenance details.

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