Abstract: Systems and methods used to perform touchless registration of images for surgical navigation are disclosed. In some embodiments, the systems include a 3-D scanning device to capture spatial data of a region of interest of a patient and a reference frame. A digital mesh model is generated from the spatial data. A reference frame model is registered with the digital mesh model. Anatomical features of the digital mesh model and a patient registration model are utilized to register the digital mesh model with the patient registration model. A position of a surgical instrument is tracked relative to the reference frame and the patient registration model.

Abstract: Systems and methods used to perform non-contact patient registration of images for surgical navigation are disclosed. In some embodiments, the systems include a 3-D scanning device to capture spatial data of a region of interest of a patient and a reference frame. A digital mesh model is generated from the spatial data. A reference frame model is registered with the digital mesh model. Anatomical features of the digital mesh model and a patient registration model are utilized to register the digital mesh model with the patient registration model. A position of a surgical instrument is tracked relative to the reference frame and the patient registration model.

Abstract: Systems and methods for performing registration between a patient space and an image space are disclosed herein. Systems using such methods may identify a pose of a registration frame having one or more apertures within the patient space using a tracking system. Image data corresponding to the image space having an image of the registration frame is taken. A plurality of aperture locations within the image data (corresponding to the apertures of the registration frame) are identified in the image data. Aperture representations from a model of the registration frame are matched to these aperture locations to determine a pose of the registration frame within the image space. A transform between the patient space and the image space is generated based on the pose of the registration frame within the patient space and the pose of the registration frame within the image space. Optimization methods for this transform are discussed.