pydicom-medical-imaging
CommunityUnlock medical imaging data with DICOM.
Education & Research#image processing#dicom#pydicom#medical imaging#3d reconstruction#data anonymization
Authorjaechang-hits
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides a robust Python interface to read, write, and manipulate DICOM (Digital Imaging and Communications in Medicine) files, enabling the extraction and processing of medical imaging data.
Core Features & Use Cases
- Metadata Extraction: Access patient information, study parameters, and imaging settings from DICOM files.
- Pixel Data Handling: Extract image pixel data as NumPy arrays for analysis, apply windowing (VOI LUT), and convert to standard formats.
- Anonymization: Remove Protected Health Information (PHI) from DICOM files for de-identification.
- DICOM Creation: Generate new DICOM files from NumPy arrays with appropriate metadata.
- Series Processing: Load and stack DICOM series into 3D volumetric arrays.
- Use Case: Analyze CT scan data by loading a series of DICOM files, converting pixel data to Hounsfield Units, and visualizing orthogonal slices.
Quick Start
Use the pydicom-medical-imaging skill to read the DICOM file 'scan.dcm' and print the patient's name and image dimensions.
Dependency Matrix
Required Modules
pydicomnumpypillowpylibjpegpylibjpeg-libjpegpylibjpeg-openjpegpython-gdcmpandasmatplotlib
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: pydicom-medical-imaging Download link: https://github.com/jaechang-hits/SciAgent-Skills/archive/main.zip#pydicom-medical-imaging Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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