Systems, methods, and instruments for tracking localized movement of an anatomic structure at a surgical site are provided that can, for example, detect and identify movement of the anatomic structure not otherwise tracked by a global navigation system. One embodiment can include a cannula with a localized navigation sensor coupled to a distal end thereof. The cannula can be coupled to a robot arm and the localized navigation sensor can detect movement of an anatomic structure relative to the cannula. The localized navigation sensor can include one or more tines that selectively extend from the cannula to contact the anatomic structure. A controller can receive data from the localized navigation sensor and a global navigation system, and determine if movement detected by the localized navigation sensor is tracked by the global navigation system. Systems, methods, and instruments of the present disclosure can be used independently of a global navigation system.

Connectors for connecting or linking one instrument or object to one or more other instruments or objects are disclosed herein. In some embodiments, a connector can include a first arm with a first attachment feature for attaching to a first object, such as a surgical access device, and a second arm with a second attachment feature for attaching to a second object, such as a support. The connector can have an unlocked state, in which the position and orientation of the access device can be adjusted relative to the support, and a locked state in which movement of the access device relative to the support is prevented or limited. Locking the connector can also be effective to clamp or otherwise attach the connector to the access device and the support, or said attachment can be independent of the locking of the connector.

A method for referencing a tracking system's coordinate frame to a rigid body's coordinate frame is disclosed. The method involves obtaining a 3D model depicting some of the surfaces of the rigid body. A probe is provided with an affixed tracking reference component. A second tracking reference component is attached to the rigid body. The method involves tracking locations of the probe as it moves along surfaces of the rigid body and then determining a transform that relates the probe locations to the 3D model of the rigid body. In one embodiment the rigid body is a dental mandible or maxilla of a patient and the 3D model is a surface extracted from a computed tomography image of the patient's jaw and teeth.

The present invention relates to the field of medical monitoring, and in particular non-contact monitoring of one or more physiological parameters in a region of a patient during surgery. Systems, methods, and computer readable media are described for generating a pulsation field and/or a pulsation strength field of a region of interest (ROI) in a patient across a field of view of an image capture device, such as a video camera. The pulsation field and/or the pulsation strength field can be generated from changes in light intensities and/or colors of pixels in a video sequence captured by the image capture device. The pulsation field and/or the pulsation strength field can be combined with indocyanine green (ICG) information regarding ICG dye injected into the patient to identify sites where blood flow has decreased and/or ceased and that are at risk of hypoxia.

The invention relates to a system for determining an optimal position of a surgical instrument relative to a patient's bone tracker, the system comprising:—a medical imaging system configured to acquire at least one cone beam computed tomography intraoperative image of the patient;—a localization device;—a computer configured to receive images from the medical imaging system and localization data from the localization device and to implement the following method: the method comprising: ⋅(a) receiving at least one preoperative 2D X-ray image of the bone while the patient is in a position of interest; ⋅(b) acquiring an intraoperative 3D medical image of the bone by cone beam computed tomography while the patient is in an operative position different from the position of interest, the 3D image being registered with the coordinate system of the bone tracker; ⋅(c) registering the intraoperative 3D medical image onto the at least one preoperative 2D X-ray image, so as to obtain a registered 3D image representing the bone in the position of interest; ⋅(d) planning a surgical procedure on the registered 3D medical image taking into account said position of interest; ⋅(e) determining an optimal position of the surgical instrument relative to the patient's bone tracker for implementing said planned surgical procedure.

Some embodiments provide systems, assemblies, and methods of analyzing patient anatomy, including providing an analysis of a patient's spine, and also analyzing the biomechanical effects of implants. In some embodiments, the systems, assemblies, and/or methods can include obtaining initial patient data, acquiring spinal alignment and contour information, acquiring flexibility and/or biomechanical information, registering patient anatomical landmarks of interest relative to fiducial markers, analyzing databases of measurements and patient data to predict postoperative patient outcomes. Further, in some embodiments, the systems, assemblies, and/or methods can assess localized anatomical features of the patient, and obtain anatomical region data. In some embodiments, the systems, assemblies, and/or methods can also analyze the localized anatomy and therapeutic device location and contouring. Further, the systems, assemblies, and/or methods can output localized anatomical analyses and therapeutic device contouring data and/or imagery on a display according to some embodiments.

Systems and methods for optimizing tracking an object in a surgical workspace. A tracker is disposed relative to the object that includes a predefined geometry of markers for tracking a pose of the tracker in the surgical workspace. A localizer camera cooperates with the tracker to generate image data indicating a blob for each of the markers generated from a light signal received from the marker. A characteristic of each blob is acquired, and the acquired characteristics are compared to an optimal characteristic. Based on the comparison, the operation of the trackers, the localizer, or both are adjusted to optimize the blobs generated from the markers.

Devices, Systems, and Methods for controlled movement of the robot system. The surgical robot system may include a robot having a robot base, a robot arm coupled to the robot base, and an end-effector coupled to the robot arm. The robot may include a plurality of omni-directional wheels affixed to the robot base allowing multiple-axis movement of the robot. The robot may further include sensors for detecting a desired movement of the robot base and a control system responsive to the plurality of sensors for controlling the multiple-axis movement of the robot by actuating two or more of the plurality of omni-directional wheels.

Described here are systems and methods for positioning a surgical implant, such as a glenoid component, or other medical device intra-operatively. In general, the systems and methods described in the present disclosure implement a computer vision system, which may be a structured light computer vision system, together with a suitable optical tracker as an accurate intra-operative tool for predicting post-operative implant position in surgical procedures.

Surgical systems, navigation systems, and methods involving a robotic manipulator configured to control movement of an instrument to facilitate a surgical procedure. The navigation system includes a camera unit configured to optically track a pose of the instrument and a non-optical sensor coupled to the instrument. The navigation system includes a computing system coupled to the camera unit and being configured to obtain readings from the non-optical sensor. The computing system detects a condition whereby the camera unit is blocked from optically tracking the pose of the instrument. In response to detection of the condition, the computing system tracks the pose of the instrument with the readings from the non-optical sensor.