Alicia Pose-Díez-de-la-Lastra; Felix von Haxthausen; Rafael Moreta-Martínez; Mónica García-Sevilla; Luis Hernández-Álvarez; José Antonio Calvo-Haro; Rubén Pérez-Mañanes; Javier Pascau
36th International Congress on Computer Assisted Radiology and Surgery
Del 7 al 11 de junio de 2022, Toranomon, Minato-ku, Tokyo
In recent years, augmented reality (AR) has increased its adoption in many areas, including medicine. This technology overlaps three-di-mensional virtual models onto physical objects in the real world, improving the information available to the user. An important limitation of AR is the registration between the virtual and the natural environment. Although some studies perform this step manually, the resulting accuracy and user-dependent error are unsuitable for clinical applications. Automatic registration is an alternative when a correct alignment is crucial, such as during surgery. In these cases, AR can overlay patient-specific information to the real patient, such as anatomical models or the preoperative plan, assisting the surgeon during the intervention. Either smartphones or head-mounted displays are suitable options for the deployment of AR applications. Among all, Microsoft HoloLens is considered the best AR platform in surgical interventions. In this work, we analyze Microsoft HoloLens 2 in orthopedic onco- logical surgeries. More specifically, we evaluate the accuracy of the AR projection performing automatic registration with two AR markers based on a visual pattern or retroreflective spheres. Our goal was to determine which one offers the better tracking performance to guide osteotomies.
