Image-guided robotic interventions represent a transformative frontier in surgery, blending advanced imaging and robotics for improved precision and outcomes. This paper addresses the critical need for integrating open-source platforms to enhance situational awareness in image-guided robotic research. We present an open-source toolset that seamlessly combines a physics-based constraint formulation framework, AMBF, with a state-of-the-art imaging platform application, 3D Slicer. Our toolset facilitates the creation of highly customizable interactive digital twins, that incorporates processing and visualization of medical imaging, robot kinematics, and scene dynamics for real-time robot control. Through a feasibility study, we showcase real-time synchronization of a physical robotic interventional environment in both 3D Slicer and AMBF, highlighting low-latency updates and improved visualization.
@article{arxiv.2401.11715,
title = {Integrating 3D Slicer with a Dynamic Simulator for Situational Aware Robotic Interventions},
author = {Manish Sahu and Hisashi Ishida and Laura Connolly and Hongyi Fan and Anton Deguet and Peter Kazanzides and Francis X. Creighton and Russell H. Taylor and Adnan Munawar},
journal= {arXiv preprint arXiv:2401.11715},
year = {2024}
}