Image guided intervention supported with mixed reality

The PhD studentship will broadly explore development of cutting-edge AI solutions for image registration, anatomy segmentation, and immersive technology. The selected candidate will work with preoperative MRI/CT scans to create 3D models of organs and intra-operative surgical videos. The candidate will develop surgical planning and implement new technologies for its integration as VR/AR assistive platform. AR integration will be supported by the computer graphics team at Leeds. The research directions will be adapted based on the progress and consultation with clinical colleagues and supervisor, ensuring impactful outputs. The candidate will have opportunity to collaboratively work with computational scientists and surgeons exploring novel ways to transform research and practice in surgical care. This is a highly competitive School of Computer Science Studentship at the University of Leeds, providing full academic fees together with a tax-free maintenance grant of £20,780 per year for 3.5 years. There will be a budget for conference attendance. The position is supervised by Dr Sharib Ali with additional supervision from Dr Shahid Farid (Clinical) and Dr Rafael Kuffner Dos Anjos (Computer Graphics).