Towards Mixed Reality-Navigated Surgery: Point Cloud Surface Registration for Automated 3D Image Overlay

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Abstract

Background Mixed Reality (MR) enables intuitive and tangible visualization of patient data in interventional environments without further exposure to radiation, while most state-of-the-art navigation systems lack proper immersive visualization and rely on the use of markers as well as additional intrasurgical imaging for digital-physical registration. Methods We develop and validate a modular and immersive system combining state of the art mixed reality hardware, high-fidelity tracking/scanning technology, and automated surface registration algorithms to generate an accurate MR holographic projection of surgical tools and patient anatomy. Results The system exhibits reliable real-time performance with latencies below 50 ms. The accuracy of the holographic projection was measured for registration and MR precision, revealing a combined average deviation of 1.73 mm on a patient model. Conclusion Overall system accuracy provides a strong foundation for immersive surgical or interventional guidance. Ongoing studies aim to investigate clinical value and usability in real-world scenarios.

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