M.Sc. Domenico Riggio

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Motivation
Needlescopy is a minimally invasive technique for diagnosing and treating lung tumors, but current methods often rely on fluoroscopy guidance, exposing patients and clinicians to ionizing radiation. Additionally, the dynamic nature of lung motion due to respiration makes accurate needle placement challenging, increasing the risk of complications or unsuccessful targeting. This research aims to develop an extended reality (XR) navigation system integrated with a dynamic lung model to enhance precision and safety in lung tumor targeting. By leveraging real-time anatomical adaptation and immersive XR visualization, the system will provide intuitive guidance, eliminating the need for fluoroscopy while improving procedural accuracy. This innovation will not only reduce radiation exposure but also optimize tumor accessibility, enabling safer and more effective needlescopy procedures for lung interventions.

Task
• Dynamic environment setup
• Digital twin setup
• Augmented reality implementation
• Optimization
• Performance comparison
Requirements
• Coding skills
Good to have
• Unity 3D
• ROS

References: https://doi.org/10.1177/15533506241290412