simpleitk-image-registration
CommunityAlign, segment, and analyze 3D medical images.
Education & Research#segmentation#medical imaging#image registration#SimpleITK#3D analysis#bioimage processing
Authorjaechang-hits
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the complex tasks of aligning, segmenting, and analyzing 3D medical images, which is crucial for accurate diagnosis and research.
Core Features & Use Cases
- Image Registration: Aligns images from different time points or modalities (e.g., MRI to CT) using rigid, affine, or deformable methods.
- Segmentation: Isolates specific regions of interest like cells or tumors using thresholding, region growing, and morphological operations.
- Image Filtering & Resampling: Cleans up noise, enhances contrast, and standardizes image resolution for consistent analysis.
- Measurement: Extracts quantitative data such as volume, intensity statistics, and shape descriptors from segmented regions.
- Use Case: Register a patient's follow-up MRI scan to their baseline scan to precisely measure tumor growth over time, or segment individual cells in a microscopy volume and measure their size and intensity.
Quick Start
Use the simpleitk-image-registration skill to register the 'subject_t1.nii.gz' image to the 'atlas_t1.nii.gz' image using rigid registration.
Dependency Matrix
Required Modules
SimpleITKnumpymatplotlibSimpleITK-SimpleElastix
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: simpleitk-image-registration Download link: https://github.com/jaechang-hits/SciAgent-Skills/archive/main.zip#simpleitk-image-registration Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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