Patent Application
20240008788
The present disclosure relates to medical devices and systems, and more particularly, systems for neuronavigation registration and robotic trajectory guidance, and related methods and devices.
Position recognition systems for robot assisted surgeries are used to determine the position of and track a particular object in 3-dimensions (3D). In robot assisted surgeries, for example, certain objects, such as surgical instruments, need to be tracked with a high degree of precision as the instrument is being positioned and moved by a robot or by a physician, for example.
Position recognition systems may use passive and/or active sensors or markers for registering and tracking the positions of the objects. Using these sensors, the system may geometrically resolve the 3-dimensional position of the sensors based on information from or with respect to one or more cameras, signals, or sensors, etc. These surgical systems can therefore utilize position feedback to precisely guide movement of robotic arms and tools relative to a patients' surgical site. Thus, there is a need for a system that efficiently and accurately provide neuronavigation registration and robotic trajectory guidance in a surgical environment.
According to some embodiments of inventive concepts, a system includes a processor circuit and a memory coupled to the processor circuit. The memory includes machine-readable instructions configured to cause the processor circuit to determine, based on a first image volume comprising an anatomical feature of a patient, a registration fixture that is fixed with respect to the anatomical feature of the patient, and a first plurality of fiducial markers that are fixed with respect to the registration fixture, determine, for each fiducial marker of the first plurality of fiducial markers, a position of the fiducial marker relative to the image volume. The machine-readable instructions are further configured to cause the processor circuit to determine, based on the determined positions of the first plurality of fiducial markers, a position and orientation of the registration fixture with respect to the anatomical feature. The machine-readable instructions are further configured to cause the processor circuit to, based on a data frame from a tracking system comprising a second plurality of tracking markers that are fixed with respect to the registration fixture, determine, for each tracking marker of the second plurality of tracking markers, a position of the tracking marker. The machine-readable instructions are further configured to cause the processor circuit to determine, based on the determined positions of the second plurality of tracking markers, a position and orientation of the registration fixture with respect to a robot arm of a surgical robot. The machine-readable instructions are further configured to cause the processor circuit to determine, based on the determined position and orientation of the registration fixture with respect to the anatomical feature and the determined position and orientation of the registration fixture with respect to the robot arm, a position and orientation of the anatomical feature with respect to the robot arm. The machine-readable instructions are further configured to cause the processor circuit to control the robot arm based on the determined position and orientation of the anatomical feature with respect to the robot arm.
According to some other embodiments of inventive concepts, a computer-implemented method is disclosed. The computer-implemented method includes, based on a first image volume comprising an anatomical feature of a patient, a registration fixture that is fixed with respect to the anatomical feature of the patient, and a first plurality of fiducial markers that are fixed with respect to the registration fixture, determining, for each fiducial marker of the first plurality of fiducial markers, a position of the fiducial marker. The computer-implemented method further includes determining, based on the determined positions of the first plurality of fiducial markers, a position and orientation of the registration fixture with respect to the anatomical feature. The computer-implemented method further includes, based on a tracking data frame comprising a second plurality of tracking markers that are fixed with respect to the registration fixture, determining, for each tracking marker of the second plurality of tracking markers, a position of the tracking marker. The computer-implemented method further includes determining, based on the determined positions of the second plurality of tracking markers, a position and orientation of the registration fixture with respect to a robot arm of a surgical robot. The computer-implemented method further includes determining, based on the determined position and orientation of the registration fixture with respect to the anatomical feature and the determined position and orientation of the registration fixture with respect to the robot arm, a position and orientation of the anatomical feature with respect to the robot arm. The computer-implemented method further includes controlling the robot arm based on the determined position and orientation of the anatomical feature with respect to the robot arm.
According to some other embodiments of inventive concepts, a surgical system is disclosed. The surgical system includes an intraoperative surgical tracking computer having a processor circuit and a memory. The memory includes machine-readable instructions configured to cause the processor circuit to provide a medical image volume defining an image space. The medical image volume includes an anatomical feature of a patient, a registration fixture that is fixed with respect to the anatomical feature of the patient, and a plurality of fiducial markers that are fixed with respect to the registration fixture. The machine-readable instructions are further configured to cause the processor circuit to, based on the medical image volume, determine, for each fiducial marker of the plurality of fiducial markers, a position of the fiducial marker with respect to the image space. The machine-readable instructions are further configured to cause the processor circuit to determine, based on the determined positions of the plurality of fiducial markers, a position and orientation of the registration fixture with respect to the anatomical feature. The machine-readable instructions are further configured to cause the processor circuit to provide a tracking data frame defining a tracking space, the tracking data frame comprising positions of a first plurality of tracked markers that are fixed with respect to the registration fixture. The machine-readable instructions are further configured to cause the processor circuit to, based on the tracking data frame, determine a position of the anatomical feature with respect to the first plurality of tracked markers in the tracking space. The surgical system further includes a surgical robot having a robot arm configured to position a surgical end-effector. The surgical robot further includes a controller connected to the robot arm. The controller is configured to perform operations including, based on the tracking data frame, determining a position of the robot arm with respect to the tracking space. The controller is configured to perform operations including determining, based on the determined position and orientation of the anatomical feature with respect to the tracking space and the determined position and orientation of the robot arm with respect to the tracking space, a position and orientation of the anatomical feature with respect to the robot arm. The controller is configured to perform operations including controlling movement of the robot arm based on the determined position and orientation of the anatomical feature with respect to the robot arm to position the surgical end-effector relative to a location on the patient to facilitate surgery on the patient.
Other methods and related devices and systems, and corresponding methods and computer program products according to embodiments will be or become apparent to one with skill in the art upon review of the following drawings and detailed description. It is intended that all such devices and systems, and corresponding methods and computer program products be included within this description, be within the scope of the present disclosure, and be protected by the accompanying claims. Moreover, it is intended that all embodiments disclosed herein can be implemented separately or combined in any way and/or combination.
The accompanying drawings, which are included to provide a further understanding of the disclosure and are incorporated in a constitute a part of this application, illustrate certain non-limiting embodiments of inventive concepts. In the drawings:
It is to be understood that the present disclosure is not limited in its application to the details of construction and the arrangement of components set forth in the description herein or illustrated in the drawings. The teachings of the present disclosure may be used and practiced in other embodiments and practiced or carried out in various ways. Also, it is to be understood that the phraseology and terminology used herein is for the purpose of description and should not be regarded as limiting. The use of “including,” “comprising,” or “having” and variations thereof herein is meant to encompass the items listed thereafter and equivalents thereof as well as additional items. Unless specified or limited otherwise, the terms “mounted,” “connected,” “supported,” and “coupled” and variations thereof are used broadly and encompass both direct and indirect mountings, connections, supports, and couplings. Further, “connected” and “coupled” are not restricted to physical or mechanical connections or couplings.
The following discussion is presented to enable a person skilled in the art to make and use embodiments of the present disclosure. Various modifications to the illustrated embodiments will be readily apparent to those skilled in the art, and the principles herein can be applied to other embodiments and applications without departing from embodiments of the present disclosure. Thus, the embodiments are not intended to be limited to embodiments shown, but are to be accorded the widest scope consistent with the principles and features disclosed herein. The following detailed description is to be read with reference to the figures, in which like elements in different figures have like reference numerals. The figures, which are not necessarily to scale, depict selected embodiments and are not intended to limit the scope of the embodiments. Skilled artisans will recognize the examples provided herein have many useful alternatives and fall within the scope of the embodiments.
According to some other embodiments, systems for neuronavigation registration and robotic trajectory guidance, and related methods and devices are disclosed. In some embodiments, a first image having an anatomical feature of a patient, a registration fixture that is fixed with respect to the anatomical feature of the patient, and a first plurality of fiducial markers that are fixed with respect to the registration fixture is analyzed, and a position is determined for each fiducial marker of the first plurality of fiducial markers. Next, based on the determined positions of the first plurality of fiducial markers, a position and orientation of the registration fixture with respect to the anatomical feature is determined. A data frame comprising a second plurality of tracking markers that are fixed with respect to the registration fixture is also analyzed, and a position is determined for each tracking marker of the second plurality of tracking markers. Based on the determined positions of the second plurality of tracking markers, a position and orientation of the registration fixture with respect to a robot arm of a surgical robot is determined. Based on the determined position and orientation of the registration fixture with respect to the anatomical feature and the determined position and orientation of the registration fixture with respect to the robot arm, a position and orientation of the anatomical feature with respect to the robot arm is determined, which allows the robot arm to be controlled based on the determined position and orientation of the anatomical feature with respect to the robot arm.
Advantages of this and other embodiments include the ability to combine neuronavigation and robotic trajectory alignment into one system, with support for a wide variety of different registration hardware and methods. For example, as will be described in detail below, embodiments may support both computerized tomography (CT) and fluoroscopy (fluoro) registration techniques, and may utilize frame-based and/or frameless surgical arrangements. Moreover, in many embodiments, if an initial (e.g. preoperative) registration is compromised due to movement of a registration fixture, registration of the registration fixture (and of the anatomical feature by extension) can be re-established intraoperatively without suspending surgery and re-capturing preoperative images.
Referring now to the drawings,
According to an alternative embodiment,
The surgical robot system 100 in the examples of
In many surgical procedures, one or more targets of surgical interest, such as targets within the brain for example, are localized to an external reference frame. For example, stereotactic neurosurgery may use an externally mounted stereotactic frame that facilitates patient localization and implant insertion via a frame mounted arc. Neuronavigation is used to register, e.g., map, targets within the brain based on pre-operative or intraoperative imaging. Using this pre-operative or intraoperative imaging, links and associations can be made between the imaging and the actual anatomical structures in a surgical environment, and these links and associations can be utilized by robotic trajectory systems during surgery.
According to some embodiments, various software and hardware elements may be combined to create a system that can be used to plan, register, place and verify the location of an instrument or implant in the brain. These systems may integrate a surgical robot, such as the surgical robot 102 of
The robot 102 may be positioned near or next to patient 210, and it will be appreciated that the robot 102 can be positioned at any suitable location near the patient 210 depending on the area of the patient 210 undergoing the operation. The camera 200 may be separated from the surgical robot system 100 and positioned near or next to patient 210 as well, in any suitable position that allows the camera 200 to have a direct visual line of sight to the surgical field 208. In the configuration shown, the surgeon 120 may be positioned across from the robot 102, but is still able to manipulate the end-effector 112 and the display 110. A surgical assistant 126 may be positioned across from the surgeon 120 again with access to both the end-effector 112 and the display 110. If desired, the locations of the surgeon 120 and the assistant 126 may be reversed. The traditional areas for the anesthesiologist 122 and the nurse or scrub tech 124 may remain unimpeded by the locations of the robot 102 and camera 200.
With respect to the other components of the robot 102, the display 110 can be attached to the surgical robot 102 and in other embodiments, the display 110 can be detached from surgical robot 102, either within a surgical room with the surgical robot 102, or in a remote location. The end-effector 112 may be coupled to the robot arm 104 and controlled by at least one motor. In some embodiments, end-effector 112 can comprise a guide tube 114, which is able to receive and orient a surgical instrument 108 used to perform surgery on the patient 210. As used herein, the term “end-effector” is used interchangeably with the terms “end-effectuator” and “effectuator element.” Although generally shown with a guide tube 114, it will be appreciated that the end-effector 112 may be replaced with any suitable instrumentation suitable for use in surgery. In some embodiments, end-effector 112 can comprise any known structure for effecting the movement of the surgical instrument 108 in a desired manner.
The surgical robot 102 is able to control the translation and orientation of the end-effector 112. The robot 102 is able to move end-effector 112 along x-, y-, and z-axes, for example. The end-effector 112 can be configured for selective rotation about one or more of the x-, y-, and z-axis such that one or more of the Euler Angles (e.g., roll, pitch, and/or yaw) associated with end-effector 112 can be selectively controlled. In some embodiments, selective control of the translation and orientation of end-effector 112 can permit performance of medical procedures with significantly improved accuracy compared to conventional robots that use, for example, a six degree of freedom robot arm comprising only rotational axes. For example, the surgical robot system 100 may be used to operate on patient 210, and robot arm 104 can be positioned above the body of patient 210, with end-effector 112 selectively angled relative to the z-axis toward the body of patient 210.
In some embodiments, the position of the surgical instrument 108 can be dynamically updated so that surgical robot 102 can be aware of the location of the surgical instrument 108 at all times during the procedure. Consequently, in some embodiments, surgical robot 102 can move the surgical instrument 108 to the desired position quickly without any further assistance from a physician (unless the physician so desires). In some further embodiments, surgical robot 102 can be configured to correct the path of the surgical instrument 108 if the surgical instrument 108 strays from the selected, preplanned trajectory. In some embodiments, surgical robot 102 can be configured to permit stoppage, modification, and/or manual control of the movement of end-effector 112 and/or the surgical instrument 108. Thus, in use, in some embodiments, a physician or other user can operate the system 100, and has the option to stop, modify, or manually control the autonomous movement of end-effector 112 and/or the surgical instrument 108. Further details of surgical robot system 100 including the control and movement of a surgical instrument 108 by surgical robot 102 can be found in co-pending U.S. Patent Publication No. 2013/0345718, which is incorporated herein by reference in its entirety.
As will be described in greater detail below, the surgical robot system 100 can comprise one or more tracking markers configured to track the movement of robot arm 104, end-effector 112, patient 210, and/or the surgical instrument 108 in three dimensions. In some embodiments, a plurality of tracking markers can be mounted (or otherwise secured) thereon to an outer surface of the robot 102, such as, for example and without limitation, on base 106 of robot 102, on robot arm 104, and/or on the end-effector 112. In some embodiments, such as the embodiment of
In some embodiments, pre-operative imaging may be used to identify the anatomy to be targeted in the procedure. If desired by the surgeon the planning package will allow for the definition of a reformatted coordinate system. This reformatted coordinate system will have coordinate axes anchored to specific anatomical landmarks, such as the anterior commissure (AC) and posterior commissure (PC) for neurosurgery procedures. In some embodiments, multiple pre-operative exam images (e.g., CT or magnetic resonance (MR) images) may be co-registered such that it is possible to transform coordinates of any given point on the anatomy to the corresponding point on all other pre-operative exam images.
As used herein, registration is the process of determining the coordinate transformations from one coordinate system to another. For example, in the co-registration of preoperative images, co-registering a CT scan to an MR scan means that it is possible to transform the coordinates of an anatomical point from the CT scan to the corresponding anatomical location in the MR scan. It may also be advantageous to register at least one exam image coordinate system to the coordinate system of a common registration fixture, such as a dynamic reference base (DRB), which may allow the camera 200 to keep track of the position of the patient in the camera space in real-time so that any intraoperative movement of an anatomical point on the patient in the room can be detected by the robot system 100 and accounted for by compensatory movement of the surgical robot 102.
The operations 300 may further include receiving a tracking data frame from an intraoperative tracking device comprising a plurality of tracking cameras at a second time that is later than the first time (Block 308). The tracking frame includes positions of a plurality of tracking markers that are fixed with respect to the registration fixture (FRA) and a plurality of tracking markers that are fixed with respect to the robot. The operations 300 further include determining, for based on the positions of tracking markers of the registration fixture, a position and orientation of the anatomical feature with respect to the tracking cameras (Block 310). The operations 300 further include determining, based on the determined positions of the plurality of tracking markers on the robot, a position and orientation of the robot arm of a surgical robot with respect to the tracking cameras (Block 312).
The operations 300 further include determining, based on the determined position and orientation of the anatomical feature with respect to the tracking cameras and the determined position and orientation of the robot arm with respect to the tracking cameras, a position and orientation of the anatomical feature with respect to the robot arm (Block 314). The operations 300 further include controlling movement of the robot arm with respect to the anatomical feature, e.g., along and/or rotationally about one or more defined axis, based on the determined position and orientation of the anatomical feature with respect to the robot arm (Block 316).
It should be understood that these and other features may be used and combined in different ways to achieve registration of image space, i.e., coordinates from image volume, into tracking space, i.e., coordinates for use by the surgical robot in real-time. As will be discussed in detail below, these features may include fiducial-based registration such as stereotactic frames with CT localizer, preoperative CT or Mill registered using intraoperative fluoroscopy, calibrated scanner registration where any acquired scan's coordinates are pre-calibrated relative to the tracking space, and/or surface registration using a tracked probe, for example.
In one example,
As shown by
As shown by
Once the patient is positioned, the fluoro fixture 644 is attached the fluoro unit's x-ray collecting image intensifier (not shown) and secured by tightening clamping feet 632. The fluoro fixture 644 contains fiducial markers (e.g., metal spheres laid out across two planes in this example, not shown) that are visible on 2D fluoro images captured by the fluoro image capture device and can be used to calculate the location of the x-ray source relative to the image intensifier, which is typically about 1 meter away contralateral to the patient, using a standard pinhole camera model. Detection of the metal spheres in the fluoro image captured by the fluoro image capture device also enables the software to de-warp the fluoro image (i.e., to remove pincushion and s-distortion). Additionally, the fluoro fixture 644 contains 3 or more tracking markers 646 for determining the location and orientation of the fluoro fixture 644 in tracking space. In some embodiments, software can project vectors through a CT image volume, based on a previously captured CT image, to generate synthetic images based on contrast levels in the CT image that appear similar to the actual fluoro images (i.e., digitally reconstructed radiographs (DRRs)). By iterating through theoretical positions of the fluoro beam until the DRRs match the actual fluoro shots, a match can be found between fluoro image and DRR in two or more perspectives, and based on this match, the location of the patient's head 628 relative to the x-ray source and detector is calculated. Because the tracking markers 646 on the fluoro fixture 644 track the position of the image intensifier and the position of the x-ray source relative to the image intensifier is calculated from metal fiducials on the fluoro fixture 644 projected on 2D images, the position of the x-ray source and detector in tracking space are known and the system is able to achieve image-to-tracking registration.
As shown by
For example, in one embodiment, a first fluoro image taken from a first fluoro perspective can be compared to a first DRR constructed from a first perspective through a CT image volume, and a second fluoro image taken from a second fluoro perspective can be compared to a second DRR constructed from a second perspective through the same CT image volume. Based on the comparisons, it may be determined that the first DRR is substantially equivalent to the first fluoro image with respect to the projected view of the anatomical feature, and that the second DRR is substantially equivalent to the second fluoro image with respect to the projected view of the anatomical feature. Equivalency confirms that the position and orientation of the x-ray path from emitter to collector on the actual fluoro machine as tracked in camera space matches the position and orientation of the x-ray path from emitter to collector as specified when generating the DRRs in CT space, and therefore registration of tracking space to CT space is achieved.
Another registration method for an anatomical feature of a patient, e.g., a patient's head, may be to use a surface contour map of the anatomical feature, according to some embodiments. A surface contour map may be constructed using a navigated or tracked probe, or other measuring or sensing device, such as a laser pointer, 3D camera, etc. For example, a surgeon may drag or sequentially touch points on the surface of the head with the navigated probe to capture the surface across unique protrusions, such as zygomatic bones, superciliary arches, bridge of nose, eyebrows, etc. The system then compares the resulting surface contours to contours detected from the CT and/or MR images, seeking the location and orientation of contour that provides the closest match. To account for movement of the patient and to ensure that all contour points are taken relative to the same anatomical feature, each contour point is related to tracking markers on a DRB on the patient at the time it is recorded. Since the location of the contour map is known in tracking space from the tracked probe and tracked DRB, tracking-to-image registration is obtained once the corresponding contour is found in image space.
One use for the embodiments described herein is to plan trajectories and to control a robot to move into a desired trajectory, after which the surgeon will place implants such as electrodes through a guide tube held by the robot. Additional functionalities include exporting coordinates used with existing stereotactic frames, such as a Leksell frame, which uses five coordinates: X, Y, Z, Ring Angle and Arc Angle. These five coordinates are established using the target and trajectory identified in the planning stage relative to the image space and knowing the position and orientation of the ring and arc relative to the stereotactic frame base or other registration fixture.
As shown in
Following the insertion of implants or instrumentation using the robot or ring and arc fixture, these and other embodiments may allow for implant locations to be verified using intraoperative imaging. Placement accuracy of the instrument or implant relative to the planned trajectory can be qualitatively and/or quantitatively shown to the user. One option for comparing planned to placed position is to merge a postoperative verification CT image to any of the preoperative images. Once pre- and post-operative images are merged and plan is shown overlaid, the shadow of the implant on postop CT can be compared to the plan to assess accuracy of placement. Detection of the shadow artifact on post-op CT can be performed automatically through image processing and the offset displayed numerically in terms of millimeters offset at the tip and entry and angular offset along the path. This option does not require any fiducials to be present in the verification image since image-to-image registration is performed based on bony anatomical contours.
A second option for comparing planned position to the final placement would utilize intraoperative fluoro with or without an attached fluoro fixture. Two out-of-plane fluoro images will be taken and these fluoro images will be matched to DRRs generated from pre-operative CT or MR as described above for registration. Unlike some of the registration methods described above, however, it may be less important for the fluoro images to be tracked because the key information is where the electrode is located relative to the anatomy in the fluoro image. The linear or slightly curved shadow of the electrode would be found on a fluoro image, and once the DRR corresponding to that fluoro shot is found, this shadow can be replicated in the CT image volume as a plane or sheet that is oriented in and out of the ray direction of the fluoro image and DRR. That is, the system may not know how deep in or out of the fluoro image plane the electrode lies on a given shot, but can calculate the plane or sheet of possible locations and represent this plane or sheet on the 3D volume. In a second fluoro view, a different plane or sheet can be determined and overlaid on the 3D image. Where these two planes or sheets intersect on the 3D image is the detected path of the electrode. The system can represent this detected path as a graphic on the 3D image volume and allow the user to reslice the image volume to display this path and the planned path from whatever perspective is desired, also allowing automatic or manual calculation of the deviation from planned to placed position of the electrode. Tracking the fluoro fixture is unnecessary but may be done to help de-warp the fluoro images and calculate the location of the x-ray emitter to improve accuracy of DRR calculation, the rate of convergence when iterating to find matching DRR and fluoro shots, and placement of sheets/planes representing the electrode on the 3D scan.
In this and other examples, it is desirable to maintain navigation integrity, i.e., to ensure that the registration and tracking remain accurate throughout the procedure. Two primary methods to establish and maintain navigation integrity include: tracking the position of a surveillance marker relative to the markers on the DRB, and checking landmarks within the images. In the first method, should this position change due to, for example, the DRB being bumped, then the system may alert the user of a possible loss of navigation integrity. In the second method, if a landmark check shows that the anatomy represented in the displayed slices on screen does not match the anatomy at which the tip of the probe points, then the surgeon will also become aware that there is a loss of navigation integrity. In either method, if using the registration method of CT localizer and frame reference array (FRA), the surgeon has the option to re-attach the FRA, which mounts in only one possible way to the frame base, and to restore tracking-to-image registration based on the FRA tracking markers and the stored fiducials from the CT localizer 536. This registration can then be transferred or related to tracking markers on a repositioned DRB. Once registration is transferred the FRA can be removed if desired.
In another embodiment, there is provided a system and method for more efficient placement of electrodes into the brain using the robotic system disclosed above. As background, the brain includes the cerebral cortex 1200 which is comprised of sulci 1202 and gyri 1204, as illustrated in
Now turning to
In an exemplary embodiment of the invention, image processing is used to analyze regions of the brain at and near the first trajectory, predicting and suggesting which direction and by how much the surgeon should move to meet the conditions for optimal placement of the electrode.
For evaluating possible electrode trajectories, image processing enables a small region surrounding the planned path of the electrode to be evaluated to determine the number of times the trajectory passes “in-out-in” through brain folds. To automatically determine whether a feature of the brain is a sulcus or a gyms, machine learning or template matching may be used, with computerized models trained on the appearance on medical images of a sulcus or gyms. Alternatively, an image processing algorithm utilized to determine the curvature of an encountered cerebral cortex fold relative to the visceral or parietal direction to determine if the structure is considered a gyms (convex) or sulcus (concave).
As a result, an accuracy score may be used to determine the best trajectory for placement of the electrode. The accuracy score may be constructed by applying weighting factors to the different considerations according to importance. In another embodiment, if the most important consideration is not penetrating a superficial sulcus, then each penetration of a sulcus would reduce the accuracy score by a greater amount than a less important factor such as distance anterior to the coronal suture. In some embodiments it is more important to avoid superficial sulci than deep sulci, as a result in these embodiments the depth of the encountered sulcus could inversely scale the amount by which the score is reduced. The score would also drop proportionally to the amount by which it is off-center when passing the electrode through a gyms (i.e., the closer it gets to a sulcus).
In yet another embodiment, the system may provide options for revised and improved trajectories, with the ability to narrow the list of options according to a set of rules provided by the user. In yet another embodiment, the user may visualize options that are within a 10-degree radius of the current location in all directions. The user may also see options that are within a 15-degree radius in a specified plane, such as the coronal plane. In another embodiment, the user may visualize options that increase the accuracy score by greater than 20%.
In another embodiment, the system provides a method for displaying the location or locations of best entry into the skull for the desired target, by generating a map of the surface of the skull or brain that indicates by use of visual characteristics such as colors to indicate the accuracy score of the electrode path according to the criteria determined by the user. In one exemplary embodiment the trajectories of higher accuracy scores could be displayed a color more toward the green end of a red-yellow-green scale and the trajectories of a lower accuracy score may be displayed as a color more toward the red end of the same scale.
In another embodiment, the robot system may be used in an active mode when a surgeon manually drives the robot arm through a range of positions, each representing a different entry point but the same distal target point within the brain. At each position, a computerized meter or a light could indicate to the user the quality of the linear trajectory to the target point. For example, a light mounted on the end effector could glow green when the end effector is moved into a more accurate trajectory, with the light glowing red when moved to a less accurate position. In another embodiment, a gradation of green through yellow through red light may be emitted at different accuracy positions, providing a continuous scale of poor to accurate as the user moves the end effector. In another embodiment, a laser light of varying color and/or intensity may be emitted on the surface of the cranium as the user moves the end effector. Alternately, the system may also utilize haptic feedback to help guide the user to position the end effector accurately. In another embodiment, the surgeon may move the robot arm through a range of possible orientations, each of which has the same target location but different skull entry locations. In yet another embodiment, the robot's end effector is configured to vibrate depending on accuracy score. In other embodiments, various types of vibrations may indicate different degrees of accuracy. In one embodiment, timed vibrations may indicate a more accurate position as the end effector is and no vibrations could indicate an inaccurate positioning. Alternately, the robot system may utilize a “gravity” mode, wherein, when an applied force is applied by the user, the robot arm would automatically position the end effector toward the nearest and most accurate entry location. In another embodiment, an applied force by the user may also move the robot arm off that trajectory and automatically cause the robot arm to move the end effector toward then next closest accurate location with the accuracy score exceeding a base threshold.
Using the methods disclosed above, the present disclosure provides a system and method for the placement of stereoelectroencephalography (Stereo-EEG) depth electrodes. For Stereo-EEG electrodes, a three-dimensional grid of electrodes is placed in targeted brain areas to monitor brain activity and precisely locate seizure sources. In these cases, 2-30 electrodes may be placed within the brain for seizure monitoring. In one embodiment, each individual electrode is positioned at a specific target point. In another embodiment, multiple electrodes may be positioned in specific boundary shape around a target point within the brain. In another embodiment, electrodes may be positioned based on a mean geometric location of an intended 3D grid of target points deep within the brain. The robotic system may then guide the surgeon to an entry location on the skull that allows for an accurate pathway for placing the multiple or grid of electrodes such that the electrodes are spaced apart from the entry point to be above to cover a maximum area. In another embodiment, the robotic system may guide the surgeon to multiple entry points on the brain surface such that for each deep point, the trajectory of the highest accuracy score is utilized. As with the system and methods described above, the system guides the user to one or more options, providing lighting, mapping, or haptic feedback to allow new accurate trajectories that are dynamically selected at the time of surgery.
In the above-description of various embodiments of present inventive concepts, it is to be understood that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of present inventive concepts. Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which present inventive concepts belong. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of this specification and the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
When an element is referred to as being “connected”, “coupled”, “responsive”, or variants thereof to another element, it can be directly connected, coupled, or responsive to the other element or intervening elements may be present. In contrast, when an element is referred to as being “directly connected”, “directly coupled”, “directly responsive”, or variants thereof to another element, there are no intervening elements present. Like numbers refer to like elements throughout. Furthermore, “coupled”, “connected”, “responsive”, or variants thereof as used herein may include wirelessly coupled, connected, or responsive. As used herein, the singular forms “a”, “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. Well-known functions or constructions may not be described in detail for brevity and/or clarity. The term “and/or” includes any and all combinations of one or more of the associated listed items.
It will be understood that although the terms first, second, third, etc. may be used herein to describe various elements/operations, these elements/operations should not be limited by these terms. These terms are only used to distinguish one element/operation from another element/operation. Thus a first element/operation in some embodiments could be termed a second element/operation in other embodiments without departing from the teachings of present inventive concepts. The same reference numerals or the same reference designators denote the same or similar elements throughout the specification.
As used herein, the terms “comprise”, “comprising”, “comprises”, “include”, “including”, “includes”, “have”, “has”, “having”, or variants thereof are open-ended, and include one or more stated features, integers, elements, steps, components or functions but does not preclude the presence or addition of one or more other features, integers, elements, steps, components, functions or groups thereof. Furthermore, as used herein, the common abbreviation “e.g.”, which derives from the Latin phrase “exempli gratia,” may be used to introduce or specify a general example or examples of a previously mentioned item, and is not intended to be limiting of such item. The common abbreviation “i.e.”, which derives from the Latin phrase “id est,” may be used to specify a particular item from a more general recitation.
Example embodiments are described herein with reference to block diagrams and/or flowchart illustrations of computer-implemented methods, apparatus (systems and/or devices) and/or computer program products. It is understood that a block of the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations, can be implemented by computer program instructions that are performed by one or more computer circuits. These computer program instructions may be provided to a processor circuit of a general purpose computer circuit, special purpose computer circuit, and/or other programmable data processing circuit to produce a machine, such that the instructions, which execute via the processor of the computer and/or other programmable data processing apparatus, transform and control transistors, values stored in memory locations, and other hardware components within such circuitry to implement the functions/acts specified in the block diagrams and/or flowchart block or blocks, and thereby create means (functionality) and/or structure for implementing the functions/acts specified in the block diagrams and/or flowchart block(s).
These computer program instructions may also be stored in a tangible computer-readable medium that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable medium produce an article of manufacture including instructions which implement the functions/acts specified in the block diagrams and/or flowchart block or blocks. Accordingly, embodiments of present inventive concepts may be embodied in hardware and/or in software (including firmware, resident software, micro-code, etc.) that runs on a processor such as a digital signal processor, which may collectively be referred to as “circuitry,” “a module” or variants thereof.
It should also be noted that in some alternate implementations, the functions/acts noted in the blocks may occur out of the order noted in the flowcharts. For example, two blocks shown in succession may in fact be executed substantially concurrently or the blocks may sometimes be executed in the reverse order, depending upon the functionality/acts involved. Moreover, the functionality of a given block of the flowcharts and/or block diagrams may be separated into multiple blocks and/or the functionality of two or more blocks of the flowcharts and/or block diagrams may be at least partially integrated. Finally, other blocks may be added/inserted between the blocks that are illustrated, and/or blocks/operations may be omitted without departing from the scope of inventive concepts. Moreover, although some of the diagrams include arrows on communication paths to show a primary direction of communication, it is to be understood that communication may occur in the opposite direction to the depicted arrows.
Although several embodiments of inventive concepts have been disclosed in the foregoing specification, it is understood that many modifications and other embodiments of inventive concepts will come to mind to which inventive concepts pertain, having the benefit of teachings presented in the foregoing description and associated drawings. It is thus understood that inventive concepts are not limited to the specific embodiments disclosed hereinabove, and that many modifications and other embodiments are intended to be included within the scope of the appended claims. It is further envisioned that features from one embodiment may be combined or used with the features from a different embodiment(s) described herein. Moreover, although specific terms are employed herein, as well as in the claims which follow, they are used only in a generic and descriptive sense, and not for the purposes of limiting the described inventive concepts, nor the claims which follow. The entire disclosure of each patent and patent publication cited herein is incorporated by reference herein in its entirety, as if each such patent or publication were individually incorporated by reference herein. Various features and/or potential advantages of inventive concepts are set forth in the following claims.
The present application is a continuation of U.S. patent application Ser. No. 17/737,599 filed on May 5, 2022 (published as U.S. 2022-0330868), which is a continuation of U.S. patent application Ser. No. 16/380,413 filed on Apr. 10, 2019, now U.S. Pat. No. 11,382,549, which is a continuation of U.S. patent application Ser. No. 16/361,863 filed on Mar. 22, 2019, (published as U.S. Pat. Pub. No. 2020-0297426), all of which are incorporated in their entireties herein for all purposes.
| Number | Date | Country | |
|---|---|---|---|
| Parent | 17737599 | May 2022 | US |
| Child | 18342144 | US | |
| Parent | 16380413 | Apr 2019 | US |
| Child | 17737599 | US |
| Number | Date | Country | |
|---|---|---|---|
| Parent | 16361863 | Mar 2019 | US |
| Child | 16380413 | US |
