Technologies & Learning Path

Core Technologies

LeaRes is built on a robust technology stack:

• Frontend: React 18.2 (JavaScript, with TypeScript in newer modules)
• 3D Visualization: VTK.js for real-time rendering of medical data
• Backend: FastAPI (Python 3.12+) for high-performance REST API
• Database: MongoDB for flexible document storage
• AI Engine: Auto3DSeg for automatic organ segmentation
• CFD Solver: MOEBIUS for multi-physics simulations (fluid, thermal, particle)
• Image Processing: visir (VTK-based) for DICOM processing and mesh operations

What You’ll Learn

This tutorial series is organized into three categories:

1. Overview (Current Section)

• Platform introduction and core concepts
• Interface navigation, viewing, and measurement tools
• Understanding the dual workflow system
• What your plan allows and what compute costs
• Driving the platform with the AI assistant, and its limits

2. Medical Tutorials

• Intended use, RUO modules, and safe handling of patient data
• Getting started with DICOM data
• Using AI-powered organ segmentation
• Manual segmentation refinement techniques
• Generating 3D anatomical models
• Virtual spirometry (RUO)
• Reinflation analysis (RUO)

3. Engineering Tutorials

• Importing CAD geometry from various sources
• Setting up simulation projects
• Defining materials and physical properties
• Creating zones and assigning boundary conditions
• Running CFD simulations
• Visualizing and interpreting results
• Advanced techniques: centerline extraction, cross-sectional analysis

System Requirements

To use LeaRes effectively, ensure your system meets these minimum requirements:

• Browser: Modern browser with WebGL 2.0 support (Chrome 90+, Firefox 88+, Edge 90+)
• Display: 1920x1080 resolution or higher
• Memory: 8GB RAM minimum (16GB recommended for large datasets)
• Internet: Stable connection for cloud processing (AI segmentation, simulations)

Note: LeaRes uses WebGL for 3D rendering. If you experience performance issues, check that hardware acceleration is enabled in your browser settings.

Getting Help

Throughout the platform, you’ll find multiple support resources:

• AI assistant: contextual help in Ask mode, platform control in Agent mode
• Inline Tooltips: Hover over icons and buttons for quick explanations
• Documentation: Open these tutorials with Show me the tutorial in the chatbot shortcut bar
• Community Support: Connect with other users and developers