Computer Vision News - September 2021

3 Summary 1 AI-based Registration for Orthopedic Surgeries final positioning counts” , says MD Shai Factor , an orthopedic surgeon at Tel Aviv Sourasky Medical Center in Israel . “Achieving such a high level of accuracy is not easy, but it is vital. Today, we mainly rely on our personal experience and ‘eyeballing’ to get that done ”. Recently, orthopedic surgeons have started utilizing new types of emerging technologies with outcome accuracy in the range of sub-millimeters with the intent of accommodating younger and more active patients and extending the longevity of the orthopedic implants. Intraoperative registration aims to provide the surgeon with real-time indications by matching a preoperative CT (computerized tomography) to an intraoperative X-ray fluoroscopy. Using automated landmark detection and measurements of anatomical relationships, the surgeon can progress in the procedure while the registration system identifies and updates any changes from the original surgical plan. AI-based registration Registration is a process that involves transforming multiple imaging datasets into a single coordinate system. Intraoperative registration aims to bridge the gap between the imaged surgical plan and real-life in the operating room. The registration process demands overcoming multiple challenges: • Field of view (FOV) - the space captured in the imaging process