This repository contains high-performance GPU-accelerated sensor simulation tools for healthcare applications, powered by NVIDIA technologies.

A high-performance GPU-accelerated ultrasound simulator using NVIDIA OptiX raytracing with Python bindings. This simulator enables real-time ultrasound simulation for training, research, and development purposes.

Key features:

• GPU acceleration with CUDA and NVIDIA OptiX
• Python interface for ease of use
• Real-time simulation capabilities

Learn more about the Ultrasound Raytracing Simulator

i4h-sensor-simulation/
├── docs/                      # Documentation and guides
├── tools/                     # Development and maintenance tools
└── ultrasound-raytracing/     # Ultrasound raytracing simulator
    ├── .devcontainer/         # Development container configuration
    ├── .vscode/               # VS Code configuration
    ├── cmake/                 # CMake build configuration
    ├── csrc/                  # C++/CUDA source code
    ├── examples/              # Usage examples and demos
    ├── include/               # C++ header files
    ├── raysim/                # Python package and bindings
    ├── third_party/           # External dependencies
    └── utils/                 # Utility scripts

• NVIDIA GPU with CUDA support
• NVIDIA Driver 555+
• CUDA 12.6+
• CMake 3.24+
• Python 3.10+

See individual component READMEs for specific requirements.

1. Clone this repository:

   git clone https://github.com/isaac-for-healthcare/i4h-sensor-simulation.git
   cd i4h-sensor-simulation

2. Follow the setup instructions for the specific simulator you want to use:

   • Ultrasound Raytracing Simulator

This project is licensed under the Apache License 2.0 - see the LICENSE file for details.

Please see our Security Policy for information on reporting security vulnerabilities.

For questions and support, please open an issue in the GitHub repository.