12 results about "Computer assisted navigation" patented technology

A system for computer assisted navigation during surgery includes a computer platform that operates to register a target surgical area of a patient. In certain cases, a process includes: obtaining a pre-op CT image of a pelvic region of a patient and intra-operatively obtaining a point cloud data about the pelvic region with a navigated instrument, generating a 3D bone model which excludes non-targeted area such as a femur, and then merging the 3D bone model to the point cloud to register the target surgical area.

A method includes displaying, on a graphical user interface, a planned position of a virtual implant model relative to a virtual bone model of a bone. The virtual implant model includes a plurality of virtual screw holes offset from a central axis of the virtual implant model. The method also includes determining a planned rotational orientation of the virtual implant model by rotating, on the graphical user interface, the virtual implant model about the central axis of the virtual implant model such that the plurality of virtual screw holes rotate about the central axis. The method also includes controlling a robotic device to guide preparation of the bone to receive a physical implant in the planned position. The method also includes providing computer-assisted navigation configured to guide the physical implant into physical rotational alignment with the planned rotational orientation of the virtual implant model.

A surgical system for computer assisted navigation during surgery, includes at least one processor that obtains a 3D radiological representation of a targeted anatomical structure of a patient and a set of fiducials of a registration fixture. The operations attempt to register locations of the set of fiducials in the 3D radiological representation to a 3D imaging space tracked by a camera tracking system. Based on determining one of the fiducials of the set has a location that was not successfully registered to the 3D imaging space, the operations display at least one view of the 3D radiological representation with a graphical overlay indicating the fiducial has not been successfully registered to the 3D imaging space, receive user-supplied location information identifying where the fiducial is located in the 3D radiological representation, and register the location of the fiducial to the 3D imaging space based on the user-supplied location information.

A camera tracking system for computer assisted navigation during surgery. The camera tracking system includes a processor operative to receive streams of video frames from tracking cameras which image a plurality of physical objects arranged as a reference array. For each of the physical objects imaged in a sequence of the video frames, that processor determines a set of coordinates for the physical object over the sequence of the video frames. For each of the physical objects, the processor generates an arithmetic combination of the set of coordinates for the physical object. The processor generates an array template identifying coordinates of the physical objects based on the arithmetic combinations of the sets of coordinates for the physical objects, and tracks pose of the physical objects of the reference array over time based on comparison of the array template to the reference array imaged in the streams of video frames.

A camera tracking system for computer assisted navigation during surgery. Operations identify stray markers in a frame of tracking data from tracking cameras, and identify stray markers of a reference array. Stray markers of the reference array are designated assigned status and, otherwise, designated unknown status. The operations designate other of the assigned status stray markers and any of the unknown status stray markers along a same epipolar line of the tracking cameras as one of the assigned status stray markers as being epipolar ambiguous status. For each one of the epipolar ambiguous status stray markers, the operations estimate 3D locations where phantom markers can appear in the frame based on epipolar ambiguity of the tracking cameras when determining location of the one of the epipolar ambiguous status stray markers. The operations designate the unknown status stray markers within a threshold distance of the estimated 3D locations of phantom markers as being phantom status.

A method includes displaying, on a graphical user interface, a planned position of a virtual implant model relative to a virtual bone model of a bone. The virtual implant model includes a plurality of virtual screw holes offset from a central axis of the virtual implant model. The method also includes determining a planned rotational orientation of the virtual implant model by rotating, on the graphical user interface, the virtual implant model about the central axis of the virtual implant model such that the plurality of virtual screw holes rotate about the central axis. The method also includes controlling a robotic device to guide preparation of the bone to receive a physical implant in the planned position. The method also includes providing computer- assisted navigation configured to guide the physical implant into physical rotational alignment with the planned rotational orientation of the virtual implant model.

A camera tracking system is disclosed for computer assisted navigation during surgery. The camera tracking system is configured to identify a reference array tracked by a set of tracking cameras attached to an extended reality (XR) headset, and determine whether the reference array is registered as being paired with characteristics of one of a plurality of surgical tools defined in a surgical tool database. The camera tracking system is further configured to, based on the reference array being determined to not be registered and receiving user input, register the reference array to be paired with characteristics of one of the plurality of surgical tools selected based on the user input. The camera tracking system is further configured to provide a representation of the characteristics to a display device of the XR headset for display to the user.

A spinal surgery navigation system is disclosed for computer assisted navigation during spinal surgery. The spinal surgery navigation system is operative to obtain intra-operative feedback data and / or post-operative feedback data regarding spinal surgery outcome for a plurality of patients, and train a machine learning model based on the intra-operative feedback data and / or the post-operative feedback data. The operations obtain pre-operative patient data characterizing a spine of a defined-patient, generate a spinal surgery plan for the defined-patient based on processing the pre-operative patient data through the machine learning model, and provide the spinal surgery plan to a display device for review by a user.

Devices, systems, and methods for computer-assisted navigation and / or robot-assisted surgery. Navigable instrumentation, which are capable of being navigated by a surgeon using the surgical robot system, allow for the navigated movement of instruments or other surgical devices. The instruments may be suitable for procedures involving navigated and / or robotic total knee arthroplasty, for example.

A camera tracking system for computer assisted navigation during surgery. The camera tracking system includes a processor operative to receive streams of video frames from tracking cameras which image a plurality of physical objects arranged as a reference array. For each of the physical objects imaged in a sequence of the video frames, that processor determines a set of coordinates for the physical object over the sequence of the video frames. For each of the physical objects, the processor generates an arithmetic combination of the set of coordinates for the physical object. The processor generates an array template identifying coordinates of the physical objects based on the arithmetic combinations of the sets of coordinates for the physical objects, and tracks pose of the physical objects of the reference array over time based on comparison of the array template to the reference array imaged in the streams of video frames.

A camera tracking system for computer assisted navigation during surgery. Operations identify stray markers in a frame of tracking data from tracking cameras, and identify stray markers of a reference array. Stray markers of the reference array are designated assigned status and, otherwise, designated unknown status. The operations designate other of the assigned status stray markers and any of the unknown status stray markers along a same epipolar line of the tracking cameras as one of the assigned status stray markers as being epipolar ambiguous status. For each one of the epipolar ambiguous status stray markers, the operations estimate 3D locations where phantom markers can appear in the frame based on epipolar ambiguity of the tracking cameras when determining location of the one of the epipolar ambiguous status stray markers. The operations designate the unknown status stray markers within a threshold distance of the estimated 3D locations of phantom markers as being phantom status.

A system for computer assisted navigation during surgery includes a computer platform that operates to register a target surgical area of a patient. In certain cases, a process includes: obtaining a pre-op CT image of a pelvic region of a patient and intra-operatively obtaining a point cloud data about the pelvic region with a navigated instrument, generating a 3D bone model which excludes non-targeted area such as a femur, and then merging the 3D bone model to the point cloud to register the target surgical area.