23 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 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 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 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 computer platform is provided for computer assisted navigation during surgery. The computer platform includes at least one processor that is operative to transform pre-operative images of a patient obtained from a first imaging modality to an estimate of the pre-operative images of the patient in a second imaging modality that is different than the first imaging modality. The at least one processor is further operative to register the estimate of the pre-operative images of the patient in the second imaging modality to intra-operative navigable images or data of the patient.

A surgical system for computer-assisted navigation during a surgical procedure includes at least one processor that obtains a 3D radiological representation of a target anatomy of a patient and a fiducial set of a registration fixture. An attempt is made to register a position of the fiducial set in the 3D radiological representation to a 3D imaging space tracked by a camera tracking system. Based on a determination that one fiducial of the fiducial set has an unsuccessful registration to a position of the 3D imaging space, the following operations are performed: displaying at least one view of the 3D radiological representation having a graphical overlay indicating that the fiducial has an unsuccessful registration to the 3D imaging space; receiving user-provided position information identifying where the fiducial is located in the 3D radiological representation; and registering the position of the fiducial to the 3D imaging space based on the user-provided position information.

A computer platform is provided for computer assisted navigation during surgery. The computer platform includes at least one processor that is operative to transform pre-operative images of a patient obtained from a first imaging modality to an estimate of the pre-operative images of the patient in a second imaging modality that is different than the first imaging modality. The at least one processor is further operative to register the estimate of the pre-operative images of the patient in the second imaging modality to intra-operative navigable images or data of the patient.

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.

And registering the three-dimensional bone model. Various examples relate to methods and related systems that identify surface features of rigid structures visible in a video stream and use the surface features to register three-dimensional models for computer-aided navigation of surgical procedures. In some examples, the surface features are determined using non-contact techniques based on known or calculated motion of the camera. In other examples, the surface features are collected using a contact probe that is not itself tracked directly. In other examples, the three-dimensional model may be registered by using a patient-specific instrument coupled to the rigid structure in only one orientation.

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.

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.

A camera tracking system for computer assisted navigation during surgery. Operations identify locations of markers of a reference array in images obtained from tracking cameras imaging a real device. Operations determine measured coordinate locations of a feature of a real device in the images based on the identified locations of the markers and based on a relative location relationship between the markers and the feature. Operations process a region of interest in the images identified based on the measured coordinate locations through a neural network configured to output a prediction of coordinate locations of the feature in the images. The neural network has been trained based on training images containing the feature of a computer model rendered at known coordinate locations. Operations track pose of the feature of the real device in 3D space based on the prediction of coordinate locations of the feature of the real device in the images.

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.

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 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 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.