Liver RFA Simulator

A full-stack simulation system for Liver Radiofrequency Ablation (RFA) with GPU-accelerated Python backend (Flask + PyTorch/CUDA), React frontend, and Docker deployment.

---

🔧 Requirements

• Docker Desktop
• NVIDIA GPU with drivers
• WSL 2 (Windows)
• NVIDIA Container Toolkit

Verify GPU support:

nvidia-smi
docker run --rm --gpus all nvidia/cuda:11.8.0-base-ubuntu22.04 nvidia-smi

---

🚀 Getting Started

1. Clone the repository

git clone <your-repo-url>
cd Liver_RFA_Simulator

2. Create data directory

mkdir -p backend/data

3. Start the system

docker compose up --build

• Backend: http://localhost:5000
• Frontend: http://localhost:5173

---

🧠 Backend API

Method	Route	Description
GET	/	Health check
POST	/predict	Run RFA simulation
GET	/videos/<filename>	Fetch generated video

Example:

curl -X POST http://localhost:5000/predict

---

🎥 Video Storage

Generated videos persist at:

backend/data/simulation_videos

---

🛑 Stopping the System

docker compose down

---

🧪 Debugging

# Check containers
docker compose ps

# View logs
docker compose logs backend

# Verify GPU
docker compose exec backend python3 -c "import torch; print(torch.cuda.is_available())"