The field of the disclosure relates generally to visualization and navigation, and more specifically, to methods and systems for visualizing sites that do not have direct line of sight to a user.
Generally, clear visualization is important when performing detailed tasks such as driving, operating machinery, or performing surgery. For example, surgical procedures require direct line of site to prepare and conduct the surgical procedure to ensure accuracy. To reduce the complications during the surgical procedure, surgeons attempt to minimize any disturbances to body. Those disturbances can include minimal incisions that reduce the size surgical site, which in turn can limit the field of view for the surgeon. Accordingly, a need exists for visualization and navigation that provides feedback to a user (e.g., a physician/surgeon) while performing tasks (e.g., preoperatively, intraoperatively, and postoperatively) to increase the accuracy and efficiency of the task.
In a first aspect, a surgical system is provided that comprises a surgical operating table configured to support a patient thereon, wherein the surgical operating table is controllable and adjustable; a robotic system comprising a moveable arm that is configured to support and move an end effector relative to a surgical site of the patient; and one or more controllers coupled to the surgical operating table and to the robotic system and being configured to: associate a virtual boundary with respect to the surgical site; detect that the end effector is outside of the virtual boundary; and in response to detection of the end effector being outside of the virtual boundary, command adjustment of the surgical operating table to reposition the surgical site and the virtual boundary to enable the end effector to be inside the virtual boundary.
In a second aspect, a method of operating a surgical system is provided, wherein the surgical system includes a surgical operating table configured to support a patient thereon, wherein the surgical operating table is controllable and adjustable, a robotic system including a moveable arm that is configured to support and move an end effector relative to a surgical site of the patient and one or more controllers coupled to the surgical operating table and to the robotic system, the method comprising the one or more controllers performing the following: associating a virtual boundary with respect to the surgical site; detecting that the end effector is outside of the virtual boundary; and in response to detecting that the end effector is outside of the virtual boundary, commanding adjustment of the surgical operating table to re-position the surgical site and the virtual boundary for enabling the end effector to be inside the virtual boundary.
In a third aspect, a surgical system is provided that comprises a surgical operating table configured to support a patient thereon, wherein the surgical operating table is controllable and adjustable; a robotic system comprising a moveable arm that is configured to support and move an end effector relative to a surgical site of the patient; and one or more controllers coupled to the surgical operating table and to the robotic system and being configured to: associate a virtual boundary with respect to the surgical site; control the robotic system to move the end effector relative to the surgical site; permit operation of the end effector in response to detection of the end effector being inside of the virtual boundary; detect that the end effector is outside of the virtual boundary; prohibit operation of the end effector in response to detection of the end effector being outside of the virtual boundary; and command adjustment of the surgical operating table to re-position the surgical site and the virtual boundary to enable the end effector to be inside the virtual boundary
The features, functions, and advantages that have been discussed can be achieved independently in various embodiments or may be combined in yet other embodiments, further details of which can be seen with reference to the following description and drawings.
The systems and methods described herein enable accurate navigation during surgical procedures. The systems and methods described herein provide landmark information inside the body of a patient during a surgical procedure. As used herein, the term “tissue” or “body tissue” refers to a group or layer of similarly specialized cells that together perform certain special functions and can refer to any type of tissue in the body including, but not limed to, bone, organs, cartilage, muscles, skin, fat, nerves, and scars. As used herein the terms “procedure” or “surgery” refers to an operation performed on a patient to investigate and/or treat a pathological condition.
Computing device 102 includes at least one memory device 120 and one or more processors 122 (e.g., in a multi-core configuration) that is coupled to memory device 120 for executing instructions. In some embodiments, executable instructions are stored in memory device 120. Further, processor 122 may be implemented using one or more heterogeneous processor systems in which a main processor is present with secondary processors on a single chip. As another illustrative example, processor 122 may be a symmetric multiprocessor system containing multiple processors of the same type. Processor 122 may perform partial processing and receive partial processing by a processor and/or computing device communicatively coupled to computing device 102 to enable cloud or remote processing. Further, processor 122 may be implemented using any suitable programmable circuit including one or more systems and microcontrollers, microprocessors, reduced instruction set circuits (RISC), application specific integrated circuits (ASIC), programmable logic circuits, field programmable gate arrays (FPGA), and any other circuit capable of executing the functions described herein. In the exemplary embodiment, processor receives imaging information from device 110 and creates co-registered images for display on interface 106 as well as providing movement limitations to component 112 based the imaging information.
In the exemplary embodiment, memory device 120 is one or more devices that enable information such as executable instructions and/or other data to be stored and retrieved. Memory device 120 may include one or more computer readable media, such as, without limitation, dynamic random access memory (DRAM), static random access memory (SRAM), a solid state disk, and/or a hard disk. Memory device 120 may be configured to store, without limitation, application source code, application object code, source code portions of interest, object code portions of interest, configuration data, execution events and/or any other type of data. In some embodiments, memory device 120 retains or stores limited or no information locally but stores information on a device communicatively coupled to system 100 to enable cloud storage.
In some embodiments, computing device 102 includes a presentation interface 106 that is coupled to processor 122. Presentation interface 106 presents information, such patient information and/or images (e.g., scans), to a user/surgeon. For example, presentation interface 106 may include a display adapter (not shown) that may be coupled to a display device, such as a cathode ray tube (CRT), a liquid crystal display (LCD), an organic LED (OLED) display, and/or an “electronic ink” display. In some embodiments, presentation interface 106 includes one or more display devices. In the exemplary embodiment, presentation interface 106 displays surgical site data that is received from imaging device 110 and created by processor 122. The surgical site data may be displayed on presentation interface 106 and/or in any format that enables user view to surgical site information including but not limited to, glasses, a heads up display positioned within a surgical helmet, a retinal display that projects information onto the user's retina, and a monitor located within the operating room or some other remote location. In some embodiments, presentation interface 106 projects images from system 100 directly into the retina of a surgeon. In some embodiments, surgical site data is provided to the surgeon with audible commands to help direct the surgeon during a procedure.
In the exemplary embodiment, computing device 102 includes a user input interface 104. In the exemplary embodiment, user input interface 104 is coupled to processor 122 and receives input from a user/surgeon. User input interface 104 may include, for example, a keyboard, a pointing device, a mouse, a stylus, a touch sensitive panel (e.g., a touch pad or a touch screen), a gyroscope, an accelerometer, a position detector, and/or an audio user input interface. In some embodiments, user input interface 104 is a haptic feedback system that provides feedback (e.g., pressure, torque) from a procedural component 112. In some embodiments, a single component, such as a touch screen, may function as both a display device of presentation interface 106 and user input interface 104. In one or more embodiments, user input interface is a sensor that senses vibration, heat, thermal properties, and the like.
In one embodiment, user input interface 104 is one or more sensors coupled to a surgeon that are configured to detect muscle movement such that the procedural component 112 and/or end effector(s) 114 will respond to the detected muscle movements. In some embodiments, sensors are positioned on the skin of a surgeon or user so that the sensor can detect either mechanical (e.g., physical movement) or electrical signals of the muscles and/or nerves. Such a system enables a surgeon to perform a procedure remotely without the use of instrumentation directly coupled to the procedural component 112 and/or end effector 114. In some embodiments, a camera (i e , imaging device 110) is utilized in conjunction with the sensors to determine and/or track surgeon movement patterns to provide a more efficient determination of surgeon movements.
In the exemplary embodiment, computing device 102 includes or is coupled to a communication interface 108 coupled to processor 122. Communication interface 108 communicates with imaging device 110, procedural component 112, and/or remote computing systems (not shown) such as mobile phones and/or tablets. To communicate with imaging device 110, procedural component 112, and/or remote computing systems, communication interface 108 may include, for example, a wired network adapter, a wireless network adapter (e.g., Bluetooth, Wi-Fi), and/or a mobile telecommunications adapter. In the exemplary embodiment, communication interface 108 and presentation interface 106 enable remote conferencing of a procedure with system 100. For example, a surgeon can receive guidance during a procedure from a remote surgeon, assistant, or medical sales representative during a procedure. Additionally, system 100 includes sensors of components 112 that sense movement of components and provide feedback to system 100 enabling system 100 to provide signals to provide tactile feedback and/or alarms to a surgeon through device in which the surgeon is interacting. Imaging device(s) 110 can provide remote users to visualize what is occurring in the procedure in real-time, while allowing the surgeon to interactively communicate with those remotely connected. Imaging device(s) 110 may also provide preoperative and/or postoperative images. Moreover, different types of imaging devices (e.g., fiberoptic, light, acoustic, laser, etc.) may be utilized intraoperatively.
Additionally, the remote conferencing described above can also be utilized to enable remote inventory management. For example, a medical device company or representative can utilize imaging device(s) 110 to view the inventory present in an operating room, or outside the operating room in a secure location (e.g., pharmacy, stock room), to determine what devices and/or objects have been utilized during a procedure. In some embodiments, an imaging device 110 (e.g., camera) scans an inventory system (e.g., cart) to determine, via processor 122, which objects are no longer present and were utilized during a procedure. It should be noted that system 100 can determine inventory levels by utilizing additional sensors. For example, in some embodiments, system 100 is coupled to a scale that weighs the inventory to determine missing items. In one embodiment, sensors are utilized to provide feedback to determine missing inventory based on displacement, an empty space in a known inventory location, and/or a changed shape of a stack or collection of inventory. Alternatively, system 100 is configured to track inventory using Automatic identification and data capture (AIDC) sensors configured to provide device information by receiving information from the inventory that includes, but it not limited to including, bar codes, Radio Frequency Identification (RFID), biometrics, magnetic stripes, Optical Character Recognition (OCR), smart cards, and voice recognition.
The device utilization is processed by system 100 and transmitted, via communication interface 108, to a hospital billing department, medical device supplier, practitioner, clinic, and/or any other entity necessary to track device usage (e.g., insurance, procedure payor, and government reporting entity). It should be noted that system 100 is configured to track inventory systems within the medical and/or hospital including but not limited to, implants, surgical instruments, disposable medical devices, pharmaceuticals, and bracing. Additionally, the inventory control features described herein could be utilized by any system needing inventory control outside of the medical field.
In some embodiments, system 100 utilizes movement patterns for navigation (e.g., surgical navigation, vehicle navigation, etc.). In a surgical context, the actual movement or stimulation of tissue that twitches, moves, or goes in a motion pattern can be tracked by system 100 and used to navigate (i.e., understand where soft tissue is located relative to soft tissue and/or bone). For example, if electrical stimulation is used to stimulate a muscle or nerve to twitch, system 100 can track these movement patterns to determine where the nerve or muscle is located. In another exemplary embodiment, a spasm in the blood vessel can be created to determine where the blood vessel is located to create patterns of navigation. System 100 can also be used at a microscopic level to create navigation at a cellular level where cell membranes and/or cell receptors are stimulated. As movement patterns are tracked, system 100, using methods described herein, could remove pixels and/or enhance or change a visualization. For example, if tissue, cells, and/or membranes are stimulated to move, system 100 could eliminate or remove those pixels.
In some embodiments, aspects of system 100 utilize extensor optical systems. Numerous optical sensors are known to those of ordinary skill in the art. For example, if there are opacities in the way of the optical sensor such as cloudiness, bleeding, or synovial fluid, an optical sensor may inaccurately note properties, such as pH or pressure. By removing opacities, system 100 improves the functioning of the optical sensors. In some embodiments, system 100 changes light to color the frequency or intensity by strobing, flashing on/off, and/or displaying different intensities as it reflects (i.e., albedo). System 100 may also remove tissues that reflect differently based on light color, frequency, intensity, and/or strobe.
It should be noted that system 100 is configured to complete an entire surgical procedure utilizing only system 100, inclusive of the procedural component 112 which non-limiting examples are represented by telemanipulator 210, arm 220, and tool 230. As noted above, procedural component may include one or more end effectors 214, 222, and 232 to perform to actions needed to perform the surgical procedure. The actions of component 112 can be any surgical action including, but not limited to, sewing, stitching, stapling, cutting, sawing, cauterizing, grasping, pinching, holding, tensioning, moving, implanting, removing, viewing, sensing force, sensing pressure, and tying. The end effectors 214, 222, and 232 can be any end effector needed for performing the surgical actions including, but not limited to, forceps, needles, needle drivers, retractors, clip appliers, probe graspers, cardiac stabilizers, balloons, tissue dissectors, saws, knives, mills, reamers, coagulation devices, lasers, ultrasonic transducers/probes, cautery instruments, scalpels, staplers, scissors, graspers, and sealers.
In the exemplary embodiment, system 100 includes at least one imaging device 110. As shown in
In preparation for use of the robotic system 100, a calibration is required to ensure that accuracy of the end effectors 114. Typically, imaging (e.g., CT) of the patient is done preoperatively and the images are loaded into system 100. In some instances, during the calibration of system 100, while patient 200 is in the operating room and on the operating table, patient markers are placed or pinned into the body to provide landmark information. The system 100 is configured to associate the patient landmark information with the images provided preoperatively to provide a map of a surgical site as shown in
In some embodiments, calibration is aided by coupling the robotic system to the surgical table and/or the patient. Coupling system 100 to a surgical table or bed provides system 100 relative patient position information as the patient is moved during a procedure. Referring to
It should be noted that procedural components can be configured to dock or electrically couple into surgical tables or beds such that communication from each can be transmitted back and forth via a communications interface. In some embodiments, procedural components 112 rigidly couple to the table or bed while other embodiments provide an electrical wire, cable, or wireless (e.g., Bluetooth or Wi-Fi) coupling between the components 112 and the table. In addition, in some embodiments, procedural components 112 rigidly couple directly to a patient or to surgical instrumentations utilized during a procedure (e.g., surgical robot, instrumentation, visualization system, retractor, electrosurgery system, knife, saw, and mill). In some embodiments, procedural components 112 are used in a transmitter/physician office or other locations such as insurance companies and the like.
In the exemplary embodiment, a radioactive tracer is inserted into the body and landmark information of the patient is determined by a radioactive detector (e.g., scanner 302) of system 100 and provided to a surgeon via presentation interface 106 to increase the efficiency and accuracy of the procedure. As is commonly known, radioactive tracers emit gamma rays from within the body. These tracers are generally short-lived isotopes linked to chemical compounds (e.g., radiopharmaceutical) that enable examination of specific physiological processes and/or anatomical landmarks. In some embodiments, the tracers are given through an intravenous injection (e.g., IV), inhalation, or orally. In some embodiments, the tracers are optical and/or biodegradable.
In the exemplary embodiment, Technecium-99m is used as the radioactive tracer. Technetium-99m emits 140 key gamma rays with a half-life of approximately 6 hours that exits in the form of pertechnetiate ion (TcO4). Alternatively, any radioactive tracer could be used with the systems and methods described herein, including but not limited to, Bismuth-213, Calcium-47, Carbon-11, Cesium-137, Chromium-51, Cobalt-57, Cobalt-60, Copper-67, Dysprosium-165, Erbium-169, Fluorine-18, Gallium-67, Holmium-166, Indium-111, Iodine-123, Iodine-125, Iodine-131, Iridium-192, Iron-59, Irridium-192, Krypton-81m, Lutetium-177, Molybdenum-99, Nitrogen-13, Oxygen-15, Palladium-103, Phosphorus-32&33, Potassium-42, Rhenium-186, Rhenium-188, Rubidium-82, Samarium-153, Selenium-75, Sodium-24, Strantium-85, Strontium-89, Strontium-92, Sulfur-35, Technecium-99m, Thallium-201, Uranium-235, Xenon-133, Ytterbium-169, and Yttrium-90.
In some embodiments, the tracers are detected by a gamma camera, which recognize photons enabling a view of internal landmarks of a patient from many different angles. In such an embodiment, the camera builds up an image from the points from which radiation is emitted and the image is enhanced by system 100 and viewed by a physician on monitor 106. In an alternative embodiment, a Positron Emission Tomography (PET) is performed in which a PET camera detects emission of two identifiable gamma rays in opposite directions to identify landmarks. In yet another embodiment, myocardial perfusion imaging (MPI) is performed to identify landmarks. In some embodiments, images having landmarks identified with tracers (e.g., gamma, PET, MPI) are utilized with a computerized tomography (CT) scan and the images are co-registered (e.g., layered) by system 100 to provide complete landmark information. It should be noted that the tracer images can be co-registered with any other type of imaging (e.g., ultrasound, x-ray, and MRI) to produce landmark information. In an embodiment, the tracers are used for ultrasound navigation with or without radiation. The ultrasound navigation may be utilized for surface mapping or registering anatomical data points.
During robot assisted surgery, such as surgery utilizing system 100, it is necessary to have multiple fixed points for recognition by trackers to allow for navigational computation. Currently, in the case of arthroplasty, invasive pins are inserted into the bones to calibrate the robotic system and to create landmarks. In the exemplary embodiment, the landmark information found via tracers is utilized for calibration and navigational computation. In such an embodiment, after the radiopharmaceutical (e.g., technetium) is introduced into the system, the tracer is taken up by osteoblasts and noted on resulting images. Often, the tracer appears dark on an image and can be known as a hot spot. These locations are co-registered with other images, by system 100 and the system 100 performs calculations using known algorithms to determine key distances and/or boundary layers for surgery.
In one embodiment, as shown in
In one embodiment, sensors 422 are positioned within a procedure site. The sensors 422 are configured to detect and transmit non line of sight surgical data to the surgeon, through system 100. Although the sensors are configured to communicate with system 100 in a wireless fashion, the sensors 422 can electrically couple to system 100 to communicate directly over a transmission line (e.g., fiber or metallic cable). In one embodiment, the sensors 422 would act as Geiger counters and detect tracers within a particular location. In an embodiment, sensors 422 are powered by capacitors. In another embodiment, sensors 422 are powered by body flow across cell membranes (i.e., turning tissue into a battery) by utilizing electrical energy through the membranes through thermal application. It should be noted that the body flow could be accomplished through synthetic tissue. In an embodiment, sensors 422 measure microcellular micro-cellular electrical gradients inside the cell. In some embodiments, sensors 422 are configured to detect force to provide feedback as to the forces exerted on and around tissue. In some embodiments, sensors 422 measure electrical pulses emitted by the body (e.g., nerves) during surgery. In such embodiments, sensors 422 can detect pulses by EEG, EMG, micro electrode arrays, or other electrophysiological recording methods. In one embodiment, sensors 422 are provided such that somatosensory evoked potentials are detected during a procedure. It should be noted that sensors 422 can be any sensor that monitors environmental factors including, but not limited to, force, acoustic, vibratory, density, pressure, optical, chemical, and electric. In some embodiments, sensors 422 are optical and/or biodegradable. Sensors 422 may also be positioned on the skin of a patient or implantable in the body of the patient. In some embodiments, sensors 422 partially degrade. For example, sensors 422 could include a biodegradable coating or slowly degrade over a specific time when exposed to water. The degradation may be hastened by heat, pH, and the like. In some embodiments, sensors 422 are rechargeable, such as through electromagnetic, optical, laser, ultrasound, vibratory, and/or thermal techniques.
In one embodiment, sensors 422 are configured to measure distances of particular tools. For example, as shown in
As noted above, system 100 can be calibrated such that the markers 420 and/or sensors 422 provide boundaries such that disturbances to portions of the body not part of the surgical procedure are minimized Additionally, the markers 420 and/or sensors 422 can provide a secondary layer of protection should a fault occur. In such an embodiment, the markers and/or sensors can require the software of system 100 to perform a first check of calibration and confirm navigation throughout the procedure.
It should be noted that while methods and systems shown herein are depicted for arthroplasty, the methods and systems described herein can be utilized in any part of the body for any surgical procedure. For example, a tracer could be absorbed into organ (e.g., heart, gallbladder, etc.) which enables system 100 to create a boundary for procedural component 112 and/or end effector 114, such that the end effector does not work outside of the boundaries created using information obtained from markers 420, sensors 422, and/or scanners 302. Accordingly, as the soft tissue moves or is moved, system 100 can maintain an accurate location of the surgical site. Moreover, the methods and systems described herein can be utilized for robotics and/or haptics guided with preoperative imaging via CT, MRI, ultrasound techniques, and the like. The method and systems described herein may also be utilized standalone intraoperatively.
In the exemplary embodiment, system 100 receives instructions from software that enables processor 122 to determine boundaries within a surgical site and prevent (e.g., lock-out or disable) components 112 and/or end effectors 114 from operating outside of the determined boundaries. To this, if a components 112 and/or end effectors 114 are prevented from continued operation due to a boundary, system 100 and/or processor 122 is configured to determine whether to move the component 112 and/or end effector 114 or a portion (or all) of table 220 to enable further operation of the component 112 and/or end effector 114. In one embodiment, the determination of what object to move is provided to a surgeon to enable manual intervention.
Alternatively, system 100 provides signals to the appropriate object (e.g., effector 114 or table 220) to enable the procedure to continue. The signals provided to the table 220 can be any signals that effect a table to re-position a patient as needed, including but not limited to, manipulating, rotating, torqueing, twisting, distracting, flexing, extending, elevating, descending, inflating or utilizing a retractor (i.e., internal or external) or bolster that aid in bringing objects into/out of a surgical site. Such a repositioning of objects enables a surgeon to optimize portions of a body relative to a portal or incision. For example, system 100 is configured to provide instructions to manipulate vessel blood flow, organ position, or the position of any other body part. The signals provided to the table 220 can also be any signals that affect a table to move relative to a body part. The body part could also move relative to the table 220 and/or relative to other systems (e.g., 120, 122, 124, and 220) coupled to system 100. Moreover, the table and the body part could both move together synchronously or independently. In addition to providing instructions to manipulate table 220, system 100 can also provide instructions to other systems (e.g., 120, 122, 124, and 220) coupled to system 100. For example, system 100 manipulates a change in table 220, system 100 would also transmit a signal to adjust lighting or visualization to re-position to the new location of the surgical site. The signals described herein may enable control and/or activation of aspects of system 100 through voice commands, remote commands, imaging controls, and/or robotic activation. Aspects of system 100 may also be controlled with a robotic mechanism with or without navigation or visualization.
Additionally, if processor 122 determined that a repertory change of the patient would aid in the effectiveness of the procedure, a signal can be generated and transmitted to the anesthesia system and/or anesthetist to alter the anesthetic (e.g., amount or type) given. In an embodiment, processor 122 generates and transmits a signal to dictate anesthesia to, for example, increase or decrease inflation of the lungs, change the blood pressure, heartbeat rate, lung volume, and the like. Moreover, processor 122 is capable of controlling electrical currents for transcutaneous electrical nerve stimulation (TENS) to stimulate muscular activity and/or vascular activity and control position. For example, electrothermal vibrations could be used to stimulate tissue and/or electrical soma.
To provide cooling to implant 500, cooling portion 504 includes a heat exchanger to reduce heating of tissue that is not in direct contact with surface 506. In one embodiment, implant 500 is fabricated to be modular. In such an embodiment, implant 500 is fabricated to have multiple removable sections such as a base section 520 and first modular section 522. Modular section(s) 522 can be added or removed to increase or reduce the size of the implant 500 thus providing for a variable sized implant.
In the exemplary embodiment, heating element 510 and/or cooling portion 504 is powered by a controller 530 and power source 532. In one embodiment, power source 532 is a battery. Alternatively, power source 532 is a power converter that converts power (e.g., A/C or D/C current) from a power source (e.g., outlet) into electrical signals for use by the heating element 510 and/or heat exchanger 504. Implant 500 also includes sensors 534 configured to monitor environmental factors within the operating site. In one embodiment, a sensor 534 is temperature sensor configured to monitor the temperature of implant 500 and/or the tissue in contact with surface 506 and/or the tissue adjacent to implant 500. Additionally, the sensors 534 can be any sensor that monitors environmental factors including, but not limited to, force, acoustic, vibratory, density, pressure, optical, chemical, and electric. In some embodiments, implant 500 includes a timer (not shown) coupled to controller 530 that enables controller to selectively provide power to heating element 510 at predetermined times or intervals. In an embodiment, sensors 534 are internal sensors.
Sensors 534 are coupled to a communication interface 540 coupled to processor 542 and/or controller 530. Communication interface 540 communicates with system 100, shown in
In use, implant 500 is placed on tissue. In some embodiments, implant 500 heats tissue for a predetermined amount of time and then removed. After removal, a thermogram scan can be taken to provide landmark information to system 100. In one embodiment, implant 500 remains positioned within the body to allow for selective heating of tissue throughout the procedure. The resulting thermogram images can be co-registered with other images (e.g., CT, MRI, X-Ray, Gamma) taken of the patient to provide landmark information to system 100 and/or the surgeon. In some embodiments, the thermogram can be utilized as an alternative to the radioisotopes described above. The advantages of the use of implant 500 and the resulting thermogram images is that landmark information can be provided and registered without having direct line of site enabling the implant 500 to be positioned on the side, back, or into the padding behind the arthroplasty as one would not require direct line of site, which would impede the surgical procedure. In some embodiments, implant 500 uses electrical, thermal, and/or magnetic techniques to stimulate muscle, vessels, nerves, and the like to contract over movement patterns. Landmark information can be detected by creating boundary levels as well as navigation. For example, a stimulator would move to detect where the movement is and then create boundary layers or guidance direction to a specific site.
In one embodiment, system 100 includes a scanner 302 in the form of a vessel determination device. The scanner is configured to locate vessels and flow rates in the body. The scanner 302 can include any flow determination technology for locating vessels including, but not limited to ultrasonic flow meters and/or laser Doppler velocimeters. Once the vessels are located, positional information can be transmitted to system 100 to be input into images and navigation calibration. In one embodiment, system 100 determines the type of vessel (e.g., artery, vein, capillary) based on the size and/or flow rates of the located vessels. Vessels that are within a procedure site can be used as boundaries such that procedural component 112 and/or end effector 114 will be disabled when approaching the vessel to maintain patient safety during the procedure.
In addition to image 600, processor and/or system 100 can also generate a composite image of the surgical site in the form of an animation or 3-D rendering based on the information shown in
In the exemplary embodiment, the images produced by system 100 also provide a surgeon the ability to locate anatomical structures (e.g., bones, organs, arteries, vessels, cartilage) in a surgical site and denote those structures by color coding or labeling. Such structures can also be removed or added to a view, via input interface 104, during a procedure based on the surgeons' needs. Images produced by system 100 may also be utilized for external ablation systems that utilize ultrasound, thermal, and like techniques to refine exact tissue location for ablation of tumors, treatment of infection with antibiotics to enhance growth, neurologic tissue, rewire neurons, and/or repair complex neurological bundles.
To decrease the trauma (e.g., pain, swelling, etc.) received or resulting from a surgical procedure, surgical markers and/or sensors can be positioned at points of interest for a surgeon. The surgical markers are substances including a dye that fluoresce when exposed to ultraviolet light (UV). As an alternative to directly placing the surgical markers on tissue, tissue closure devices (e.g., suture, staples) can be impregnated with the dye such that it is absorbed or transferred to the tissue that is in direct contact with the closure device. For example, in a revision arthroplasty procedure in which an infected joint replacement component is being extracted and replaced, the surgeon can position surgical markers on the incision or open tissue after he/she extracts the joint replacement component and before closing the surgical site to allow the body to eliminate/fight the present infection. When patient returns for the secondary procedure (e.g., placing a drug local into the body), ultraviolet light can be used to locate former incision locations. Using the UV indicated locations, a surgeon can utilize the former incision to open the surgical site. Utilizing a former incision can greatly reduce pain, inflammation, and trauma to the patient as scar tissue generally forms at locations of former incisions, which has been found to be less traumatic to a patient than disturbances (i.e., cuts) to muscle tissue.
In addition to the images created in system 100 from imaging devices 110, system 100 can include software filter for filtering out material and/or objects from an image that can restrict line of sight of a user (e.g., physician/surgeon, driver, machine operator, etc.). For example, the filters described herein would enhance the surgeon's ability to visualize a surgical site during a procedure (e.g., arthroscopy) by filtering opaque bleeds or blood flow and allowing the surgeon to determine the location or source of the bleed. In another exemplary embodiment, the filters described herein would enhance the driver's ability to visualize upcoming stretches of roadway by filtering fog, rain, and the like and allowing the driver to determine if hazards exist on the upcoming stretches of roadway. When video is digitized, each frame is represented by a two-dimensional array. Each location in the array represents a pixel and each pixel contains a set of values representing color and other attributes. The filters described herein manipulate these pixel values. For example, the filters described herein may change pixels and/or remove pixels with or without electrical charges or motion changes. It should be noted that these filters could be applied to any video format and coding methods including, but not limited to, PAL, NTSC, MP4, and AVI.
In one embodiment, a first filter is utilized within system 100 and the first filter is configured to determine when blood exists in the saline solution of a surgical site during surgery. This is accomplished by monitoring a sequence of frames for a range of target colors that move in a particular pattern. In one embodiment, the first filter lowers the color values of blood to match the surrounding colors. Alternatively, the first filter lowers the intensity of color of blood (e.g., red) to enable the surgeon to better visualize the intended area. In some embodiments, the first filter lowers the color values and well as lowering the intensity of color. For example, one could see the reflective coefficient (e.g., albedo), albedo with different light sources, and/or different movement creating the changes. In some embodiments, the first filter accomplishes the determination with vibratory changes, acoustic changes, moving cells that change, and/or move or have specific electrical charges. The first filter could remove these pixels in the tissue/bone. In some embodiments, the target (e.g., tissue) may be magnetized. In some embodiments, the filter bounces, changes, and/or reflects light. For example, the filter could enable a user to see around corners with reflective light by using an albedo or reflective coefficient.
In another embodiment, a second filter is utilized by system 100 to provide images to a user. The second filter is configured to adjust particular colors in an image by removing pixels in each frame that meet a predetermined criteria (e.g., blood flow). The pixels in the buffer which would be displayed on a standard image without the use of second filter would then be used in place of the obscured pixels. This would give the second filter hysteresis which would allow it to use previous information to help recreate what is behind an object (e.g., blood, synovium, tissue fats, debris, bone fragments) that could obscure the view other objects of interest (e.g., soft tissue, cartilage, muscle, bone). It should be noted that the first and second filters could be used in combination to provide an accurate rendering of a surgical site enabling a surgeon to selectively eliminate unnecessary objects from their view. For example, multiple filters could be used to change orange pixels to red pixels. In some embodiments, one filter is a software filter, for example a mechanical filter (e.g., film, prism, Fresnel lens, UV lens).
In some embodiments, the second filter is utilized by generating a baseline image and comparing the baseline image to new images taken at predetermined time increments (e.g., 0.1, 0.5, 1, 2, 30 seconds or minutes). In such embodiments, pixels could be compared to determine flow patterns of fluid or other moving objects. Additionally, system 100 is configured to enhance objects in an image by receiving imaging information, comparing to known imaging information (e.g., pre-operative scan), determining the differential and adding necessary data to the received imaging information.
In some embodiments, system 100 utilizes filters to determine the source of the blood flow. Once system 100 and/or processor 122 determines the location or source of a blood flow, system 100 can indicate, on the image, the source of the blood. Additionally, system 100 can also indicate a particular concentration of blood in the image at certain areas where the blood is has stronger concentration. In some embodiments, system 100 can determine the velocity of the blood flow in one or more locations, which may indicate the source of blood flow. Any of the determinations described above, can be indicated on an image, by system 100 and/or processor 122, with indicia having non-limiting examples of a circle, marker, or color differentiation so that the surgeon can easily locate the area of blood flow to allow for electrocautery, to locate the source of the bleed, and/or to apply pressure for coagulation.
In one embodiment, a diagnostic ultrasound or B-Mode ultrasound head is imbedded into an imaging device 110 (e.g., camera) to enable overlaying the information from the diagnostic ultrasound with the video image in real time. This provides the surgeon a 3-dimensional view of the surgical site as well as the direct camera view. Such a combination is useful in removing blood or other debris from the surgeon's view with filters. In some embodiments, a second portal or external ultrasound is utilized in conjunction with the camera to enable these filters as well. If either internal or external ultrasound is used, it is possible to use Doppler information to better detect blood for filtering. The filters would work as previously mentioned for either removal the color or using information from previous frames. The Doppler information is useful in a more precise determination of the location of the bleed. The filter should also monitor for dramatic increase in the blood flow. If system 100 determines an increase in blood flow has occurred, an alert is transmitted to the users that a bleed is occurring and being filtered out that might require attention. In one embodiment, the alert is provided as an overlay warning the surgeon of the increase in blood flow. Alternatively, system 100 can be configured to turn off filters when an amount of blood in the field of view exceeds a predetermined threshold. In some embodiments, system 100 is configured to filter out objects that produce a reflection at or above a predetermined threshold.
In one embodiment, system 100 creates a charged particle filter used for filtering out particular objects. In such an embodiment, system 100 projects or transmits a number of charged particles (e.g., ions in a gas) at a site that attach to a particular object. The charge is selected by determining an object to be filtered out and charging particles to a predetermined setting that would enable the particles to attach or couple to the object. Once the particles attach to the object, system 100 detects the location of the objects and filters out the information from the images generated.
In some embodiments, physical optical filters are utilized on or with lighting and visualization systems to aid in visualization. For example, physical filters could be applied to the lights to substantially block a predetermined color (e.g., red) from appearing in the imaging Alternatively, physical filters can be utilized to substantially increase the brightness or coloration of particular color in an image. As such, the physical filters can be applied to block out additional unwanted properties (e.g., UV, sun photons).
In the exemplary embodiment, system 100 is configured to enable a surgeon and/or user to switch between the filters, combine particular filters, remove particular filters, and turn the filters on and off all together. While the software filters discussed above were provided in the application of blood during surgery, these techniques could also be used to eliminate other unwanted elements of an image including, but not limited to, smoke that is released during electrocautery, or moving objects and debris in the view of the camera. The visualization system described herein is valuable because the system 100 enables a surgeon to operate or perform a surgical procedure in a substantially dark room reducing heat from the lights, which can be detrimental during a procedure and affect tissue healing. Additionally, the system described herein eliminates the necessity for water or carbon dioxide air during an endoscopic procedure.
In some embodiments, imaging device 110 is an ingestible-type camera for examination of the internal system of a body (e.g., abdomen). An endoscopic application, colonoscopy, or microsurgery could be used to repair individual nerve fibers or vascular fibers. Aspects of system 100 could be used for cardia ablation to localize exactly where irregular cardiac rhythms are coming from.
The system and methods described above could be used in tumor, oncology, endoscopic, arthroscopic, and/or tissue ablation procedures such as ultrasound ablation. For example, the system and methods could be used for guidance, direction, and/or location tasks during surgical procedures. In some embodiments the system and methods could be done on a macroscopic level and in some embodiments the system and methods could be done on a microscopic level, looking for specific cells, movement patterns, visualization patterns, and/or electromagnetic patterns. In an embodiment, the system and methods described above could be used to detect cells such as tumor cells or infections, which could be removed with navigation visualization provided by aspects of the system and methods. For example, one could have a patient adjust or intravenously give a marker that would absorb by abnormal cells such as a tumor or infectious cells and then visualization aspects of the system and methods could be utilized to remove pixels or enhance pixels with types of light frequency, vibrations, and the like. The tumor or infectious cells could be removed either by external tissue ablation such as ultrasonic, thermal guided ablation, or internally. Moreover, it could guide surgeons during removal of specific cells both on a macroscopic and microscopic level. For example, cells of amyloid deposits for Alzheimer's disease and/or cells that create hypertrophic tissue or infectious tissue.
While the system and methods described above have been described in a non-limiting medical setting, it should also be noted that the systems and methods described above (e.g., software filters) could also be used in non-medical applications, such as optimizing a heads up display on a car when there is fog or rain. In such an embodiment, a vehicle system can be configured to utilize the filters described above to filter objects (e.g., fog, mist, sun, pollution, smoke, or rain) and provide a clear image to vehicle passengers' either in place of a passengers' view or as an addition to a passengers' view. Such a system is also configured to detect objects in the path of the vehicle and alert passengers of the detected objects.
The embodiments described herein enable non line of sight structures and/or landmarks in the body to be observed before, during, and/or after a surgical procedure. As compared to at least some known navigational systems that require objects to be affixed to the body through invasive measures, the systems and methods described herein are capable of providing information to a robotic system to enable calibration and/or boundary layer configuration to assist in creating a more efficient and safe surgical procedure. The methods and systems described herein provide surgeons the ability to calibrate a robotic system and perform surgical procedures without direct line of site needed in known systems. The method and systems described herein could vibrate the visual fields as particles would have different vibratory frequencies based on their densities, thickness, or movement. The particles with variable movement patterns could then be removed. For example, this could be done through vibratory, acoustic, electromagnetic, external compression, internal compression, magnetic frequency, and the like. Although there may be a slight delay, any delay would not affect visualization for surgery treatment or non-surgical tasks.
The embodiments described herein may utilize executable instructions embodied in a non-transitory computer readable medium, including, without limitation, a storage device or a memory area of a computing device. Such instructions, when executed by one or more processors, cause the processor(s) to perform at least a portion of the methods described herein. As used herein, a “storage device” is a tangible article, such as a hard drive, a solid state memory device, and/or an optical disk that is operable to store data.
Although specific features of various embodiments of the invention may be shown in some drawings and not in others, this is for convenience only. In accordance with the principles of the invention, any feature of a drawing may be referenced and/or claimed in combination with any feature of any other drawing. Accordingly, while many procedures described herein relate to arthroplasty or orthopedic surgery, the methods and systems described herein can be utilized in any surgical procedure including, but not limited to, general surgery, cardiothoracic surgery, tissue ablation, ultrasound ablation, arthroscopic procedures, endoscopic procedures, cardiology and electrophysiology procedures, colon and rectal surgery, plastic surgery, anesthesia, pain management procedures, ENT procedures, gastrointestinal surgery, gynecology procedures, neurosurgery, oncology procedures, pediatric procedures, radiosurgery, reconstructive surgery, spine surgery, transplant surgery, urology procedures, and vascular surgery. Additionally, it should be noted that the systems and methods described herein could be utilized to provide encryption technology by determining known patterns and either accepting or rejecting based on a determination that known patterns have been detected.
While system 100 has been described as including a procedural component 112 and at least one end effector 114, it should be noted that system 100 can operate independently to provide visualization and/or navigation to users. For example, system 100 can be utilized in a manual surgical environment where system 100 provides surgical site information to a surgeon operating manually (i.e., without robotic assistance). Additionally, the system 100 described herein can be utilized to provide visualization and/or navigation with other non-medical and/or non-surgical applications. For example, portions of system 100 and method 700 can be installed in vehicles to provide the visualization and/or navigation needed. Portions of system 100 and method 700 can be utilized to enable a driver/passenger to “see through” objects that would limit sight. In the case of a car, truck, motorcycle, bus, or other land vehicle, system 100 and method 700 is utilized to remove fog, cloud cover, rain, sunlight, hail, mist, pollution, smoke, snow, or any other form of debris obfuscating in air or fluid media from a visual image to provide a substantially clear image of the path of travel of the vehicle. Consequently, the system 100 is configured to provide the same visualization to air vehicles (e.g., plane, spaceship, rocket, balloon, unmanned aerial vehicle (UAV) (e.g., drone)) and water vehicles (e.g., boats, ships, and submarines). Additionally, portions of system 100 and method 700 can be utilized in any application reproducing video or image feeds including, but not limited to including, residential and commercial surveillance systems, television production systems and equipment, telescopes, binoculars, marine applications, and satellite imagery. It should also be noted that the system and method described herein can be utilized with technologies described in U.S. patent application Ser. Nos. 14/451,562, 10/102,413, 13/559,352, and 62/275,436, each of which is hereby incorporated by reference in their entirety.
This written description uses examples to disclose various embodiments, which include the best mode, to enable any person skilled in the art to practice those embodiments, including making and using any devices or systems and performing any incorporated methods. The patentable scope is defined by the claims, and may include other examples that occur to those skilled in the art. Such other examples are intended to be within the scope of the claims if they have structural elements that do not differ from the literal language of the claims, or if they include equivalent structural elements with insubstantial differences from the literal languages of the claims.
A robotic system for navigation of a surgical site is provided. The robotic system includes a computing device coupled to a presentation interface, a procedural component, and a communications interface. The computing device is also coupled to a first imaging device configured to provide imaging data of a surgical site. The computing device is also coupled to a second computing device that is configured to provide a second type of imaging data of the surgical site that is different that the imaging data of the first imaging device. The computing device is configured to co-register the imaging data to create a surgical site image for display to a surgeon on the presentation interface.
The subject application is a continuation of U.S. patent application Ser. No. 17/714,191, filed Apr. 6, 2022, which is a continuation of U.S. patent application Ser. No. 16/986,467, filed Aug. 6, 2020, now U.S. Pat. No. 11,317,974, which is a continuation of U.S. patent application Ser. No. 16/113,666, filed Aug. 27, 2018, now U.S. Pat. No. 10,765,484, which is a continuation of U.S. patent application Ser. No. 15/299,981, filed Oct. 21, 2016, now U.S. Pat. No. 10,058,393, which claims the benefit of and priority to U.S. Provisional Patent App. No. 62/369,821, filed Aug. 2, 2016 and U.S. Provisional Patent App. No. 62/244,460, filed Oct. 21, 2015, the disclosures of each of the aforementioned applications being hereby incorporated by reference in their entirety.
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5464427 | Curtis | Nov 1995 | A |
5467911 | Tsuruta | Nov 1995 | A |
5470337 | Moss | Nov 1995 | A |
5472444 | Huebner | Dec 1995 | A |
5474554 | Ku | Dec 1995 | A |
5478351 | Meade | Dec 1995 | A |
5478353 | Yoon | Dec 1995 | A |
5480403 | Lee | Jan 1996 | A |
5486197 | Le | Jan 1996 | A |
5487216 | Demarest | Jan 1996 | A |
5487844 | Fujita | Jan 1996 | A |
5488958 | Topel | Feb 1996 | A |
5496292 | Burnham | Mar 1996 | A |
5496335 | Thomason | Mar 1996 | A |
5496348 | Bonutti | Mar 1996 | A |
5500000 | Feagin | Mar 1996 | A |
5501700 | Hirata | Mar 1996 | A |
5504977 | Weppner | Apr 1996 | A |
5505735 | Li | Apr 1996 | A |
5507754 | Green | Apr 1996 | A |
5514153 | Bonutti | May 1996 | A |
5518163 | Hooven | May 1996 | A |
5518164 | Hooven | May 1996 | A |
5520700 | Beyar | May 1996 | A |
5522844 | Johnson | Jun 1996 | A |
5522845 | Wenstrom | Jun 1996 | A |
5522846 | Bonutti | Jun 1996 | A |
5527341 | Goglewski | Jun 1996 | A |
5527342 | Pietrzak | Jun 1996 | A |
5527343 | Bonutti | Jun 1996 | A |
5528844 | Johnson | Jun 1996 | A |
5529075 | Clark | Jun 1996 | A |
5531759 | Kensey | Jul 1996 | A |
5534012 | Bonutti | Jul 1996 | A |
5534028 | Bao et al. | Jul 1996 | A |
5540703 | Barker | Jul 1996 | A |
5540718 | Bartlett | Jul 1996 | A |
5542423 | Bonutti | Aug 1996 | A |
5545178 | Kensey | Aug 1996 | A |
5545180 | Le | Aug 1996 | A |
5545206 | Carson | Aug 1996 | A |
5549630 | Bonutti | Aug 1996 | A |
5549631 | Bonutti | Aug 1996 | A |
5556402 | Xu | Sep 1996 | A |
5562688 | Riza | Oct 1996 | A |
5569252 | Justin | Oct 1996 | A |
5569305 | Bonutti | Oct 1996 | A |
5569306 | Thal | Oct 1996 | A |
5573517 | Bonutti | Nov 1996 | A |
5573538 | Laboureau | Nov 1996 | A |
5573542 | Stevens | Nov 1996 | A |
5575801 | Habermeyer | Nov 1996 | A |
5580344 | Hasson | Dec 1996 | A |
5584835 | Greenfield | Dec 1996 | A |
5584860 | Goble | Dec 1996 | A |
5584862 | Bonutti | Dec 1996 | A |
5591206 | Moufarrege | Jan 1997 | A |
5593422 | Muijs Van de Moer | Jan 1997 | A |
5593425 | Bonutti | Jan 1997 | A |
5593625 | Riebel | Jan 1997 | A |
5601557 | Hayhurst | Feb 1997 | A |
5601558 | Torrie | Feb 1997 | A |
5601595 | Schwartz | Feb 1997 | A |
5607427 | Tschakaloff | Mar 1997 | A |
5609595 | Pennig | Mar 1997 | A |
5618314 | Harwin et al. | Apr 1997 | A |
5620461 | Muijs Van De Moer et al. | Apr 1997 | A |
5626612 | Bartlett | May 1997 | A |
5626614 | Hart | May 1997 | A |
5626718 | Phillippe | May 1997 | A |
5628446 | Geiste | May 1997 | A |
5628751 | Sander | May 1997 | A |
5628756 | Barker | May 1997 | A |
5630824 | Hart | May 1997 | A |
5634926 | Jobe | Jun 1997 | A |
5643272 | Haines | Jul 1997 | A |
5643274 | Sander | Jul 1997 | A |
5643293 | Kogasaka | Jul 1997 | A |
5643295 | Yoon | Jul 1997 | A |
5643320 | Lower | Jul 1997 | A |
5643321 | McDevitt | Jul 1997 | A |
5645553 | Kolesa | Jul 1997 | A |
5645597 | Krapiva | Jul 1997 | A |
5645599 | Samani | Jul 1997 | A |
5649940 | Hart | Jul 1997 | A |
5649955 | Hashimoto | Jul 1997 | A |
5649963 | McDevitt | Jul 1997 | A |
5651377 | O'Donnell | Jul 1997 | A |
5658313 | Thal | Aug 1997 | A |
5660225 | Saffran | Aug 1997 | A |
5662658 | Wenstrom | Sep 1997 | A |
5665089 | Dall | Sep 1997 | A |
5665109 | Yoon | Sep 1997 | A |
5665112 | Thal | Sep 1997 | A |
5667513 | Torrie | Sep 1997 | A |
5669917 | Sauer | Sep 1997 | A |
5674240 | Bonutti | Oct 1997 | A |
5680981 | Mililli | Oct 1997 | A |
5681310 | Yuan et al. | Oct 1997 | A |
5681333 | Burkhart | Oct 1997 | A |
5681351 | Jamiolkowski | Oct 1997 | A |
5681352 | Clancy | Oct 1997 | A |
5682886 | Delp et al. | Nov 1997 | A |
5683401 | Schmieding | Nov 1997 | A |
5683418 | Luscombe | Nov 1997 | A |
5685820 | Riek | Nov 1997 | A |
5688283 | Knapp | Nov 1997 | A |
5690654 | Ovil | Nov 1997 | A |
5690655 | Hart | Nov 1997 | A |
5690674 | Diaz | Nov 1997 | A |
5690676 | Dipoto | Nov 1997 | A |
5693055 | Zahiri | Dec 1997 | A |
5697950 | Fucci | Dec 1997 | A |
5702397 | Gonle | Dec 1997 | A |
5702462 | Oberlander | Dec 1997 | A |
5707395 | Li | Jan 1998 | A |
5713903 | Sander | Feb 1998 | A |
5713921 | Bonutti | Feb 1998 | A |
5718717 | Bonutti | Feb 1998 | A |
5720747 | Burke | Feb 1998 | A |
5720753 | Sander | Feb 1998 | A |
5725529 | Nicholson | Mar 1998 | A |
5725541 | Anspach | Mar 1998 | A |
5725556 | Moser | Mar 1998 | A |
5725582 | Bevan | Mar 1998 | A |
5730747 | Ek | Mar 1998 | A |
5733306 | Bonutti | Mar 1998 | A |
5735875 | Bonutti | Apr 1998 | A |
5735877 | Pagedas | Apr 1998 | A |
5735899 | Schwartz | Apr 1998 | A |
5741268 | Schutz | Apr 1998 | A |
5741282 | Anspach | Apr 1998 | A |
5743915 | Bertin | Apr 1998 | A |
5748767 | Raab | May 1998 | A |
5752952 | Adamson | May 1998 | A |
5752974 | Rhee | May 1998 | A |
5755809 | Cohen | May 1998 | A |
5762458 | Wang et al. | Jun 1998 | A |
5766126 | Anderson | Jun 1998 | A |
5766221 | Benderev | Jun 1998 | A |
5769092 | Williamson, Jr. | Jun 1998 | A |
5769894 | Ferragamo | Jun 1998 | A |
5772672 | Toy | Jun 1998 | A |
5776136 | Sahay et al. | Jul 1998 | A |
5776151 | Chan | Jul 1998 | A |
5779706 | Tschakaloff | Jul 1998 | A |
5779719 | Klein | Jul 1998 | A |
5782862 | Bonutti | Jul 1998 | A |
5785713 | Jobe | Jul 1998 | A |
5792096 | Rentmeester | Aug 1998 | A |
5797931 | Bito | Aug 1998 | A |
5797963 | McDevitt | Aug 1998 | A |
5800537 | Bell | Sep 1998 | A |
5806518 | Mittelstadt | Sep 1998 | A |
5807403 | Beyar | Sep 1998 | A |
5810849 | Kontos | Sep 1998 | A |
5810853 | Yoon | Sep 1998 | A |
5810884 | Kim | Sep 1998 | A |
5814072 | Bonutti | Sep 1998 | A |
5814073 | Bonutti | Sep 1998 | A |
5817107 | Schaller | Oct 1998 | A |
5823994 | Sharkey | Oct 1998 | A |
5824009 | Fukuda | Oct 1998 | A |
5824085 | Sahay et al. | Oct 1998 | A |
5830125 | Scribner | Nov 1998 | A |
5836897 | Sakural | Nov 1998 | A |
5839899 | Robinson | Nov 1998 | A |
5843178 | Vanney | Dec 1998 | A |
5844142 | Blanch et al. | Dec 1998 | A |
5845645 | Bonutti | Dec 1998 | A |
5847394 | Alfano et al. | Dec 1998 | A |
5851185 | Berns | Dec 1998 | A |
5855583 | Wang et al. | Jan 1999 | A |
5865728 | Moll | Feb 1999 | A |
5865834 | McGuire | Feb 1999 | A |
5866634 | Tokushige | Feb 1999 | A |
5868749 | Reed | Feb 1999 | A |
5873212 | Esteves | Feb 1999 | A |
5873891 | Sohn | Feb 1999 | A |
5874235 | Chan | Feb 1999 | A |
5876325 | Mizuno | Mar 1999 | A |
5879371 | Gardiner | Mar 1999 | A |
5879372 | Bartlett | Mar 1999 | A |
5891166 | Schervinsky | Apr 1999 | A |
5891168 | Thal | Apr 1999 | A |
5893880 | Egan | Apr 1999 | A |
5897574 | Bonutti | Apr 1999 | A |
5899911 | Carter | May 1999 | A |
5899921 | Casparai | May 1999 | A |
5906579 | Vander Salm et al. | May 1999 | A |
5906625 | Bito | May 1999 | A |
5908429 | Yoon | Jun 1999 | A |
5911449 | Daniele | Jun 1999 | A |
5911721 | Nicholson | Jun 1999 | A |
5915751 | Esteves | Jun 1999 | A |
5918604 | Whelan | Jul 1999 | A |
5919193 | Slavitt | Jul 1999 | A |
5919194 | Andersen | Jul 1999 | A |
5919208 | Valenti | Jul 1999 | A |
5919215 | Wiklund | Jul 1999 | A |
5921986 | Bonutti | Jul 1999 | A |
5924976 | Stelzer | Jul 1999 | A |
5925064 | Meyers | Jul 1999 | A |
5928244 | Tovey | Jul 1999 | A |
5928267 | Bonutti | Jul 1999 | A |
5931838 | Vito | Aug 1999 | A |
5931869 | Boucher | Aug 1999 | A |
5937504 | Esteves | Aug 1999 | A |
5940942 | Fong | Aug 1999 | A |
5941900 | Bonutti | Aug 1999 | A |
5941901 | Egan | Aug 1999 | A |
5945002 | Bonutti | Aug 1999 | A |
5947982 | Duran | Sep 1999 | A |
5948000 | Larsen | Sep 1999 | A |
5948001 | Larsen | Sep 1999 | A |
5948002 | Bonutti | Sep 1999 | A |
5951590 | Goldfarb | Sep 1999 | A |
5956927 | Daniele | Sep 1999 | A |
5957953 | DiPoto | Sep 1999 | A |
5961499 | Bonutti | Oct 1999 | A |
5961521 | Roger | Oct 1999 | A |
5961538 | Pedlick | Oct 1999 | A |
5961554 | Janson | Oct 1999 | A |
5964075 | Daniele | Oct 1999 | A |
5964765 | Fenton | Oct 1999 | A |
5964769 | Wagner | Oct 1999 | A |
5967970 | Cowan | Oct 1999 | A |
5968046 | Castleman | Oct 1999 | A |
5968047 | Reed | Oct 1999 | A |
5970686 | Demarest | Oct 1999 | A |
5976156 | Taylor et al. | Nov 1999 | A |
5980520 | Vancaillie | Nov 1999 | A |
5980558 | Wiley | Nov 1999 | A |
5980559 | Bonutti | Nov 1999 | A |
5983601 | Blanch | Nov 1999 | A |
5984929 | Bashiri | Nov 1999 | A |
5987848 | Blanch | Nov 1999 | A |
5989282 | Bonutti | Nov 1999 | A |
5993458 | Vaitekunas | Nov 1999 | A |
5993477 | Vaitekunas | Nov 1999 | A |
6007567 | Bonutti | Dec 1999 | A |
6007580 | Lento | Dec 1999 | A |
6010525 | Bonutti | Jan 2000 | A |
6010526 | Sandstrom | Jan 2000 | A |
6012216 | Esteves | Jan 2000 | A |
6014851 | Daniele | Jan 2000 | A |
6017321 | Boone | Jan 2000 | A |
6032343 | Blanch et al. | Mar 2000 | A |
6033415 | Mittelstadt et al. | Mar 2000 | A |
6033429 | Magovern | Mar 2000 | A |
6033430 | Bonutti | Mar 2000 | A |
6045551 | Bonutti | Apr 2000 | A |
6050998 | Fletcher | Apr 2000 | A |
6056751 | Fenton | May 2000 | A |
6056772 | Bonutti | May 2000 | A |
6056773 | Bonutti | May 2000 | A |
6059797 | Mears | May 2000 | A |
6059817 | Bonutti | May 2000 | A |
6059827 | Fenton | May 2000 | A |
6063095 | Wang et al. | May 2000 | A |
6066151 | Miyawaki | May 2000 | A |
6066160 | Colvin | May 2000 | A |
6066166 | Bischoff | May 2000 | A |
6068637 | Popov | May 2000 | A |
6068648 | Cole | May 2000 | A |
6074409 | Goldfarb | Jun 2000 | A |
6077277 | Mollenauer | Jun 2000 | A |
6077292 | Bonutti | Jun 2000 | A |
6080161 | Eaves | Jun 2000 | A |
6081981 | Demarest | Jul 2000 | A |
6083244 | Lubbers | Jul 2000 | A |
6083522 | Chu | Jul 2000 | A |
6086593 | Bonutti | Jul 2000 | A |
6086608 | Ek | Jul 2000 | A |
6090072 | Kratoska | Jul 2000 | A |
6099531 | Bonutti | Aug 2000 | A |
6099537 | Sugai | Aug 2000 | A |
6099547 | Gellman | Aug 2000 | A |
6099550 | Yoon | Aug 2000 | A |
6099552 | Adams | Aug 2000 | A |
6102850 | Wang et al. | Aug 2000 | A |
6106545 | Egan | Aug 2000 | A |
6117160 | Bonutti | Sep 2000 | A |
6120536 | Ding | Sep 2000 | A |
6125574 | Ganaja | Oct 2000 | A |
6126677 | Ganaja | Oct 2000 | A |
6132368 | Cooper | Oct 2000 | A |
6139320 | Hahn | Oct 2000 | A |
RE36974 | Bonutti | Nov 2000 | E |
6149658 | Gardiner | Nov 2000 | A |
6149669 | Li | Nov 2000 | A |
6152949 | Bonutti | Nov 2000 | A |
6155756 | Mericle | Dec 2000 | A |
6159224 | Yoon | Dec 2000 | A |
6159234 | Bonutti | Dec 2000 | A |
6171307 | Orlich | Jan 2001 | B1 |
6174324 | Egan | Jan 2001 | B1 |
6179840 | Bowman | Jan 2001 | B1 |
6179850 | Goradia | Jan 2001 | B1 |
6187008 | Hamman | Feb 2001 | B1 |
6190400 | Van De Moer | Feb 2001 | B1 |
6190401 | Green et al. | Feb 2001 | B1 |
6200322 | Branch | Mar 2001 | B1 |
6200329 | Fung | Mar 2001 | B1 |
6205411 | DiGioia, III et al. | Mar 2001 | B1 |
6205748 | Daniele | Mar 2001 | B1 |
6217591 | Egan | Apr 2001 | B1 |
6224593 | Ryan | May 2001 | B1 |
6224630 | Bao | May 2001 | B1 |
6228086 | Wahl | May 2001 | B1 |
6231565 | Tovey | May 2001 | B1 |
6231592 | Bonutti | May 2001 | B1 |
6238395 | Bonutti | May 2001 | B1 |
6238396 | Bonutti | May 2001 | B1 |
6241749 | Rayhanabad | Jun 2001 | B1 |
6246200 | Blumenkranz et al. | Jun 2001 | B1 |
6258091 | Sevrain | Jul 2001 | B1 |
6263558 | Blanch | Jul 2001 | B1 |
6264675 | Brotz | Jul 2001 | B1 |
6267761 | Ryan | Jul 2001 | B1 |
6273717 | Hahn | Aug 2001 | B1 |
6280474 | Cassidy et al. | Aug 2001 | B1 |
6286746 | Egan et al. | Sep 2001 | B1 |
6287325 | Bonutti | Sep 2001 | B1 |
6293961 | Schwartz | Sep 2001 | B2 |
6306159 | Schwartz | Oct 2001 | B1 |
6309405 | Bonutti | Oct 2001 | B1 |
6312448 | Bonutti | Nov 2001 | B1 |
6319252 | McDevitt | Nov 2001 | B1 |
6319271 | Schwartz | Nov 2001 | B1 |
6322567 | Mittelstadt et al. | Nov 2001 | B1 |
6327491 | Franklin et al. | Dec 2001 | B1 |
6331181 | Tierney et al. | Dec 2001 | B1 |
6338730 | Bonutti | Jan 2002 | B1 |
6340365 | Dittrich | Jan 2002 | B2 |
6348056 | Bates | Feb 2002 | B1 |
6358271 | Egan | Mar 2002 | B1 |
6364897 | Bonutti | Apr 2002 | B1 |
6368325 | McKinley | Apr 2002 | B1 |
6368326 | Dakin | Apr 2002 | B1 |
6368343 | Bonutti | Apr 2002 | B1 |
6371957 | Amrein | Apr 2002 | B1 |
6385475 | Cinquin et al. | May 2002 | B1 |
6395007 | Bhatnagar et al. | May 2002 | B1 |
6409742 | Fulton | Jun 2002 | B1 |
6409743 | Fenton | Jun 2002 | B1 |
6419704 | Ferree | Jul 2002 | B1 |
6423072 | Zappala | Jul 2002 | B1 |
6423088 | Fenton | Jul 2002 | B1 |
6425919 | Lambrecht | Jul 2002 | B1 |
6428562 | Bonutti | Aug 2002 | B2 |
6430434 | Mittelstadt | Aug 2002 | B1 |
6432115 | Mollenauer | Aug 2002 | B1 |
6436107 | Wang et al. | Aug 2002 | B1 |
6447516 | Bonutti | Sep 2002 | B1 |
6447550 | Hunter | Sep 2002 | B1 |
6450985 | Schoelling | Sep 2002 | B1 |
6451027 | Cooper et al. | Sep 2002 | B1 |
6461360 | Adam | Oct 2002 | B1 |
6468265 | Evans et al. | Oct 2002 | B1 |
6468293 | Bonutti | Oct 2002 | B2 |
6471715 | Weiss | Oct 2002 | B1 |
6475230 | Bonutti | Nov 2002 | B1 |
6488196 | Fenton | Dec 2002 | B1 |
6496003 | Okumura et al. | Dec 2002 | B1 |
6500195 | Bonutti | Dec 2002 | B2 |
6503259 | Huxel | Jan 2003 | B2 |
6527774 | Lieberman | Mar 2003 | B2 |
6530933 | Yeung | Mar 2003 | B1 |
6533157 | Whitman | Mar 2003 | B1 |
6533818 | Weber | Mar 2003 | B1 |
6535764 | Imran | Mar 2003 | B2 |
6544267 | Cole | Apr 2003 | B1 |
6545909 | Tanaka et al. | Apr 2003 | B2 |
6547792 | Tsuji | Apr 2003 | B1 |
6551304 | Whalen | Apr 2003 | B1 |
6554852 | Oberlander | Apr 2003 | B1 |
6557426 | Reinemann, Jr. et al. | May 2003 | B2 |
6558390 | Cragg | May 2003 | B2 |
6562043 | Chan | May 2003 | B1 |
6565554 | Niemeyer | May 2003 | B1 |
6568313 | Fukui | May 2003 | B2 |
6569167 | Bobechko | May 2003 | B1 |
6569187 | Bonutti | May 2003 | B1 |
6572635 | Bonutti | Jun 2003 | B1 |
D477776 | Pontaoe | Jul 2003 | S |
6585746 | Gildenberg | Jul 2003 | B2 |
6585750 | Bonutti | Jul 2003 | B2 |
6585764 | Wright | Jul 2003 | B2 |
6592609 | Bonutti | Jul 2003 | B1 |
6594517 | Nevo | Jul 2003 | B1 |
6605090 | Trieu | Aug 2003 | B1 |
6610080 | Morgan | Aug 2003 | B2 |
6618910 | Pontaoe | Sep 2003 | B1 |
6623486 | Weaver | Sep 2003 | B1 |
6623487 | Goshert | Sep 2003 | B1 |
6626944 | Taylor | Sep 2003 | B1 |
6632245 | Kim | Oct 2003 | B2 |
6635073 | Bonutti | Oct 2003 | B2 |
6638279 | Bonutti | Oct 2003 | B2 |
6641592 | Sauer | Nov 2003 | B1 |
6645227 | Fallin | Nov 2003 | B2 |
6666877 | Morgan | Dec 2003 | B2 |
6669705 | Westhaver | Dec 2003 | B2 |
6676669 | Charles et al. | Jan 2004 | B2 |
6679888 | Green | Jan 2004 | B2 |
6685750 | Plos | Feb 2004 | B1 |
6699177 | Wang et al. | Mar 2004 | B1 |
6699240 | Francischelli | Mar 2004 | B2 |
6702821 | Bonutti | Mar 2004 | B2 |
6705179 | Mohtasham | Mar 2004 | B1 |
6709457 | Otte | Mar 2004 | B1 |
6712828 | Schraft et al. | Mar 2004 | B2 |
6714841 | Wright | Mar 2004 | B1 |
6719765 | Bonutti | Apr 2004 | B2 |
6719797 | Ferree | Apr 2004 | B1 |
6722552 | Fenton | Apr 2004 | B2 |
6731988 | Green | May 2004 | B1 |
6733506 | McDevitt et al. | May 2004 | B1 |
6733531 | Trieu | May 2004 | B1 |
6764514 | Li et al. | Jul 2004 | B1 |
6770078 | Bonutti | Aug 2004 | B2 |
6770079 | Bhatnagar | Aug 2004 | B2 |
6780198 | Gregoire | Aug 2004 | B1 |
6783524 | Anderson et al. | Aug 2004 | B2 |
6786989 | Torriani | Sep 2004 | B2 |
6796003 | Marvel | Sep 2004 | B1 |
6799065 | Niemeyer | Sep 2004 | B1 |
6818010 | Eichhorn | Nov 2004 | B2 |
6823871 | Schmieding | Nov 2004 | B2 |
6827712 | Tovey | Dec 2004 | B2 |
6837892 | Shoham | Jan 2005 | B2 |
6840938 | Morley et al. | Jan 2005 | B1 |
6843403 | Whitman | Jan 2005 | B2 |
6860878 | Brock | Mar 2005 | B2 |
6860885 | Bonutti | Mar 2005 | B2 |
6869437 | Hausen | Mar 2005 | B1 |
6878167 | Ferree | Apr 2005 | B2 |
6884264 | Spiegelberg et al. | Apr 2005 | B2 |
6890334 | Brace | May 2005 | B2 |
6893434 | Fenton | May 2005 | B2 |
6899722 | Bonutti | May 2005 | B2 |
6913666 | Aeschlimann | Jul 2005 | B1 |
6916321 | TenHuisen | Jul 2005 | B2 |
6921264 | Mayer | Jul 2005 | B2 |
6923824 | Morgan | Aug 2005 | B2 |
6932835 | Bonutti | Aug 2005 | B2 |
6942684 | Bonutti | Sep 2005 | B2 |
6944111 | Nakamura | Sep 2005 | B2 |
6951535 | Ghodoussi et al. | Oct 2005 | B2 |
6955540 | Mayer | Oct 2005 | B2 |
6955683 | Bonutti | Oct 2005 | B2 |
6958077 | Suddaby | Oct 2005 | B2 |
6987983 | Rosenblatt | Jan 2006 | B2 |
6997940 | Bonutti | Feb 2006 | B2 |
7001411 | Dean | Feb 2006 | B1 |
7004959 | Bonutti | Feb 2006 | B2 |
7008226 | Mayer | Mar 2006 | B2 |
7013191 | Rubbert | Mar 2006 | B2 |
7018380 | Cole | Mar 2006 | B2 |
7033379 | Peterson | Apr 2006 | B2 |
7048755 | Bonutti | May 2006 | B2 |
7066960 | Dickman | Jun 2006 | B1 |
7087073 | Bonutti | Aug 2006 | B2 |
7090111 | Egan | Aug 2006 | B2 |
7090683 | Brock et al. | Aug 2006 | B2 |
7094251 | Bonutti | Aug 2006 | B2 |
7104996 | Bonutti | Sep 2006 | B2 |
7128763 | Blatt | Oct 2006 | B1 |
7147652 | Bonutti | Dec 2006 | B2 |
7153312 | Torrie | Dec 2006 | B1 |
7160405 | Aeschlimann | Jan 2007 | B2 |
7179259 | Gibbs | Feb 2007 | B1 |
7192448 | Ferree | Mar 2007 | B2 |
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7217279 | Reese | May 2007 | B2 |
7217290 | Bonutti | May 2007 | B2 |
7241297 | Shaolian et al. | Jul 2007 | B2 |
7250051 | Francischelli | Jul 2007 | B2 |
7252685 | Bindseil | Aug 2007 | B2 |
7273497 | Ferree | Sep 2007 | B2 |
7297142 | Brock | Nov 2007 | B2 |
7329263 | Bonutti | Feb 2008 | B2 |
7331932 | Leitner | Feb 2008 | B2 |
7335205 | Aeschlimann | Feb 2008 | B2 |
7445634 | Trieu | Nov 2008 | B2 |
7477926 | McCombs | Jan 2009 | B2 |
7481825 | Bonutti | Jan 2009 | B2 |
7481831 | Bonutti | Jan 2009 | B2 |
7510895 | Rateman | Mar 2009 | B2 |
7641660 | Lakin et al. | Jan 2010 | B2 |
7708741 | Bonutti | May 2010 | B1 |
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20230372026 A1 | Nov 2023 | US |
Number | Date | Country | |
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62369821 | Aug 2016 | US | |
62244460 | Oct 2015 | US |
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Child | 17714191 | US | |
Parent | 16113666 | Aug 2018 | US |
Child | 16986467 | US | |
Parent | 15299981 | Oct 2016 | US |
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