The aim of this project is to develop hybrid image guidance and navigation for endovascular surgery by combining imaging using multi-axis robotically held C-Arms and advanced medical image computing, devices and visualisation. The project's specific clinical aim is to aid the interventional management of endoleaks following Endovascular aneurysm repair (EVAR) by testing the utility of existing intraoperative Dyna-CT and fusion imaging to allow in situ diagnosis and guide treatment. Intraoperatively the project will research how to provide automated robotic positioning to imaging planes pre-computed to fit the patient specific anatomy, precise catheter position tracking using and accurate image fusion utilizing stent appearance priors. The operating theatre and its system's capabilities will be integrated within a theatre wide view displaying workflow guidance and radiation expose density using modern 3D graphics rendering engines. These will facilitate dynamic targeting and management of endoleaks within complex 3D arterial territories and result in reduced overall procedure time, fluoroscopic time and contrast usage leading to better outcomes for the patient and reduced overall radiation exposure of clinical staff.
Supervisors:
Danail Stoyanov
Tara Mastracci