PhD position on AI-guided robotics for surgical navigation: Robot & Imaging Integration

Updated: about 2 months ago
Job Type: Temporary
Deadline: 28 Oct 2021

Minimal invasive Image-guided Interventions (MII) is emerging as a new discipline in medicine. To date, no single specialist area has the necessary competencies to deliver MII. These interventions are combined with sophisticated imaging technologies, primarily to perform minimally invasive surgery. MII can be characterized by the following key steps: target location, target verification (lesion volume), target destruction, treatment monitoring and verification. Smart Mechatronic Devices can be developed to improve surgeon manipulation skills. It includes dexterous instrument, co-manipulated tool holder. These systems require new intuitive control mode that uses image guidance, haptic feedback to fit into the clinical workflow. Dedicated man-machine interfaces will allow the user selecting the appropriate assistance.

This project is part of European consortium that includes industrial, clinical and academic partners from the Netherlands, Sweden, Turkey and Belgium.

About the position:
For image guided percutaneous procedures, demonstrating the potential of automatic needle placements, a 3rd party robotic system will be integrated in a state-of-the-art Philips X-ray system, equipped with optical tracking functionality.

Motion compensation model: The most common cause of inaccurate placements of interventional instruments is respiratory motion. This can be addressed by the development and integration of robotic-image-guided control and AI-based algorithms for motion compensation. Such motion compensation models can give a real-time estimation of the target location during patient motion and update the robotic system position or give real time guidance to the user about the patient motion.

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