🏥 3D Slicer Guide for Radiomics

Welcome to this step-by-step guide on using 3D Slicer 5.8.0 for radiomics feature extraction from medical images. Throughout this guide, you will learn how to import DICOM images, visualize them, and obtain quantitative features using advanced tools.

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🖥️ What is 3D Slicer?

3D Slicer is an open-source software designed for the analysis and visualization of medical images. It is widely used in clinical research and allows working with various types of data, such as:

🔹 Medical scans (CT, MRI, PET, etc.)
🔹 Anatomical segmentations
🔹 Radiotherapy and surgical planning
🔹 Radiomics feature extraction
🔹 Quantitative medical image analysis

In this guide, we will focus on obtaining radiomics features from CT scans with segmentations in DICOM RTSTRUCT and SEG formats.

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📌 Guide Content

📂 1. Environment Setup
🔹 Installation of 3D Slicer 5.8.0
🔹 Download and installation of required extensions

📂 2. Importing images
🔹 Downloading NSCLC-Radiomics patient data
🔹 Importing DICOM images into 3D Slicer

📂 3. Visualization
🔹 Exploring images and segmentations
🔹 Adjusting visualization settings

📂 4. Radiomics extraction
🔹 Using PyRadiomics to extract features
🔹 Exporting results

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🚀 Get Started Now!

📌 To start setting up 3D Slicer, go to the first section of the guide:
➡️ Environment Setup

📚 We hope this guide helps you with your medical imaging and radiomics analysis!