OsseoLab 3D Visualization Platform

Senior Project – Computer Engineering, KMUTT

This project was developed as a senior project by students from the Department of Computer Engineering, King Mongkut’s University of Technology Thonburi (KMUTT), in collaboration with OsseoLab — a company specializing in the design and production of 3D-printed implants for maxillofacial orthopedic surgeries.

🔍 Project Overview

OsseoLab required a platform to improve communication between their engineers and the doctors they support. Our web-based tool enables doctors to interactively view and manipulate 3D models of their patients' facial structures, based on CT scan data.

The platform allows surgeons to:

• 🧠 Visualize the patient’s 3D anatomy from CT scans
• 📏 Measure distances and angles directly on the 3D model
• ✂️ Simulate surgical cuts using interactive tools
• ⚙️ Test the fit of custom 3D-printed implants from OsseoLab

This helps doctors plan surgeries with better accuracy, aiming to minimize the amount of facial structure removed while ensuring the implant fits precisely.

⚙️ Key Features

• View and rotate 3D models from CT scans (STL files)
• Measure linear distances and angles between landmarks
• Cut the 3D model with a plane tool to simulate surgical cuts
• Load and preview OsseoLab-designed implants for compatibility
• Web-based: accessible via browser with no additional installation

🧪 Tech Stack

• Frontend: React + Three.js (via React Three Fiber)
• Backend: Flask + Trimesh
• Database: PostgreSQL
• 3D Engine: Three.js + custom geometric calculations
• Deployment: Docker-based services

🏥 Why This Matters

This tool gives maxillofacial surgeons a way to prepare and simulate surgeries before entering the operating room. With precise visualization and manipulation, surgeons can plan minimally invasive procedures and ensure compatibility of OsseoLab's 3D-printed implants. This leads to better outcomes and faster recovery for patients.

📁 Project Structure

• frontend: React web application with 3D visualization tools
• backend: Flask API with STL processing logic (cutting, measuring)
• database: PostgreSQL schema and migration setup
• docker: Docker setup for full-stack deployment

🤝 Collaborators

• OsseoLab – Industrial partner providing real-world use cases and implant models
• KMUTT CPE Department – Project supervisors and academic support

📩 Contact & Environment Access

This project is currently under development and there is no public demo available at this time.
If you need anything—such as .env configuration files or have any questions—please feel free to contact me:

📧 [email protected]