Repository: https://github.com/isaac-for-healthcare/i4h-sensor-simulation

GPU-accelerated sensor simulation libraries

Isaac for Healthcare - Sensor Simulation

This repository contains high-performance GPU-accelerated sensor simulation tools for healthcare applications, powered by NVIDIA technologies. These simulators enable researchers, developers, and healthcare professionals to generate realistic sensor data for training AI models, testing medical procedures, and developing new imaging technologies. By leveraging GPU acceleration and advanced raytracing techniques, our tools provide real-time simulation capabilities that significantly reduce the time and cost associated with data collection while enabling scenarios that would be difficult or impossible to capture in real-world settings.

Available Sensor Simulators

Ultrasound Simulator High-performance GPU-accelerated ultrasound simulator using NVIDIA OptiX raytracing with Python bindings for real-time simulation

Xray Simulator GPU-accelerated fluoroscopy (X-ray) simulation from CT volumes using differentiable ray marching