The field of the present application pertains to medical devices. More particularly, the field of the invention pertains to an apparatus and method for a global coordinate system for use in robotic-assisted surgery.
Embodiments described herein are directed to a new method, apparatus, and system for generating and operating a global coordinate system that may be useful for performing robotically-assisted surgery.
Present microsurgical procedures are currently extremely technique dependent. For example, several existing solutions for eye surgery involve various techniques with lasers and phacoemulsification.
Modern extracapsular cataract surgery is usually performed using a microsurgical technique called phacoemulsification, whereby the cataract is emulsified with an ultrasonic hand piece and then suctioned out of the eye. Before phacoemulsification can be performed, one or more incisions are made in the eye to allow the introduction of surgical instruments. The surgeon then removes the anterior face of the capsule that contains the lens inside the eye. A phacoemulsification probe is an ultrasonic hand piece with a titanium or steel needle. The tip of the needle vibrates at ultrasonic frequency to sculpt and emulsify the cataract while a pump aspirates particles through the tip. In some techniques, a second fine steel instrument called a chopper is used from a side port to help with chopping the nucleus into smaller pieces. The cataract is usually broken into numerous pieces and each piece is emulsified and aspirated out with suction. The nucleus emulsification makes it easier to aspirate the particles. After removing all hard central lens nucleus with phacoemulsification, the softer outer lens cortex is removed with suction only. As with other cataract extraction procedures, an intraocular lens implant (IOL), is placed into the remaining lens capsule.
One possible improvement to phacoemulsification is a cataract surgery performed with lasers. Femtosecond laser cataract surgery is rapidly emerging as a potential technology that may allow for improved precision of incision formation and emulsification of the cataract. Although phacoemulsification and laser-based cataract surgery work well for many patients, these technologies have several shortcomings. For example, phacoemulsification ultrasound probes must propagate ultrasound energy along the length of the probe, from a proximal transducer to a distal tip. This propagation may lead to transmission of ultrasound energy along the probe to tissues in and around the eye that do not benefit from the transmission. Current lens emulsifying probes generate cavitation energy that is initiated within the area of lens nucleus and radiates outwards towards the lens capsule. This places the lens capsule at risk for damage by this energy. Ultrasound probes also tend to generate more heat than would be desirable for a procedure in the eye.
Finally, it may be quite difficult to steer an ultrasound probe around corners or bends, due to the mechanical requirements of propagating the ultrasound wave along the entire instrument. In other words, the probe may have to be rigid or at least more rigid than would be desirable.
Probe based lasers have similar drawbacks. They may generate unwanted heat in the eye and are often difficult to control, thus risking damage to important nearby tissues. They also are easily damaged when attempting to navigate tight corners, as fibers in a laser probe may easily break.
Femtosecond laser systems have been devised to assist in the removal of cataracts. These devices are used to create the entry sites through the cornea and sclera into the eye, as well as to remove the anterior face of the capsule. In addition, the femtosecond laser energy can be focused within the lens nucleus itself, and used to “pre-chop” the lens nucleus into a number of pieces that can then be more easily removed with the phacoemulsification probe. However, these lasers can only fragment the center zone of the lens that is visible within the pupil (the iris blocks the peripheral lens from laser energy), so that fracture and removal of the peripheral lens by another method is still necessary. They are costly to own and operate and have the additional drawback of extending operative time.
The aforementioned techniques require extreme precision for successfully completion and minimal complications. Therefore, it would be beneficial to have an apparatus and method for a global coordinate system for assisting performing surgery for various applications including eye, micro-surgery, and/or other emulsification applications.
In general, the present invention provides for a global coordinate system for use in robotically-assisted surgery. In one aspect, the present invention provides for a system for facilitating robotic surgery comprising a first mechanical arm configured to facilitate operation of an optical assembly that comprises a first optical coherence tomographical imaging system; a second mechanical arm operatively coupled to operate a surgical tool, the surgical tool comprising a second optical coherence tomographical imaging system, and a coordinate system processing unit configured to generate a global coordinate system using optical coherence tomographic data generated by the first optical coherence tomographical imaging system and the second optical coherence tomographical imaging system, and kinematic registration data based on the location of the first mechanical arm, second mechanical arm, and the tool.
In related systems, the first mechanical arm is robotically-driven. In some systems, the second mechanical arm is robotically-driven. In some systems, the coordinate system processing unit is further configured to define a virtual boundary for avoiding inadvertent injury to patient tissue and anatomy. In some systems, the virtual boundary restricts movement of the second mechanical arm. In some systems, movement of the second mechanical arm into the virtual boundary triggers auditory feedback. In some systems, the second optical coherence tomographical system is configured to generate images of tissue topology.
In related systems, the optical assembly further comprises a visual light microscope configured for positioning the optical assembly over the eye of a patient. In some systems, the optical assembly further comprises a shared lens stack configured to be used by both the visual light microscope and the first optical coherence tomographical system.
In another aspect, the present invention provides a method for facilitating robotic surgery using a global coordinate system comprising registering the location of an optical assembly with a predetermined focal length that is operatively coupled to the flange of a mechanical arm, orienting the optical assembly over a patient's eye, registering the location of the patient's eye using the predetermined focal length of the optical assembly, scanning the patient's eye using an optical tomographical system integrated into the optical assembly, retrieving optical tomographical data, processing the data to generate a three-dimensional model of the patient's eye, and integrating the three-dimensional model into a global coordinate system that has been registered to the location of the mechanical arm.
These and other aspects and embodiments will be described in greater detail below, in reference to the attached drawing figures.
Although certain preferred embodiments and examples are disclosed below, inventive subject matter extends beyond the specifically disclosed embodiments to other alternative embodiments and/or uses, and to modifications and equivalents thereof. Thus, the scope of the claims appended hereto is not limited by any of the particular embodiments described below. For example, in any method or process disclosed herein, the acts or operations of the method or process may be performed in any suitable sequence and are not necessarily limited to any particular disclosed sequence. Various operations may be described as multiple discrete operations in turn, in a manner that may be helpful in understanding certain embodiments; however, the order of description should not be construed to imply that these operations are order dependent. Additionally, the structures, systems, and/or devices described herein may be embodied as integrated components or as separate components.
For purposes of comparing various embodiments, certain aspects and advantages of these embodiments are described. Not necessarily all such aspects or advantages are achieved by any particular embodiment. Thus, for example, various embodiments may be carried out in a manner that achieves or optimizes one advantage or group of advantages as taught herein without necessarily achieving other aspects or advantages as may also be taught or suggested herein.
A. Surgical Robotic Arm Platform.
Mechanical arm 104 may be fixedly coupled to system cart 101 which contains a variety of support systems, including control electronics, power sources and optical sources in some embodiments. The arm 104 may be formed from a plurality of linkages 107 and joints 108 to enable access to the patient. The system cart 101 may contain a source of power 109, pneumatic pressure 110, and control and sensor electronics 111—including components such as central processing unit, data bus, control circuitry, and memory—and related actuators or motors that may drive arms such as arm 104. Power may be conveyed from the system cart 101 to the arm 104 using a variety of means known to one skilled in the art such as electrical wiring, gear heads, air chambers. The electronics 111 in system cart 101 may also process and transmit control signals communicated from a command console. System carts 102 and 103 and arms 105 and 106 may be similarly configured to system cart 101 and arm 104.
The system cart 101 may also be mobile. In some embodiments, the system cart may capable of being wheeled to the desired location near the patient. System carts 101, 102, and 103 may be located in various locations in the operating room in order to accommodate space needs and facilitate appropriate placement and motion of modules and instruments with respect to a patient. This capability enables the arms to be positioned in locations where they do not interfere with the patient, doctor, anesthesiologist or any supportive surgical equipment required for the selected procedure. During procedures, the arms with instruments will work collaboratively via user control through separate control devices, which may include a command console with haptic devices, joystick, or customized pendants.
If mechanical arm 104 is robotic, joints 108 may comprise one or more actuators in order to affect movement in at least one degree of freedom. The arm 104, as a whole, preferably has more than three degrees of freedom. Through a combination of wires and circuits, each arm may also convey both power and control signals from system cart 101 to the instruments located at the end of their extremities.
In some embodiments, the arms may be fixedly coupled to the operating table with the patient. In some embodiments, the arms may be coupled to the base of the operating table and reach around to access patient.
In some embodiments, the arms may be capable of external “force drag” in order to affect precise positioning. Force drag, a type of cooperative force control, allows an operator to manually adjust and move an arm to a desired position and location. In the right situation, cooperative force control provides extremely precise, tremor-free motion while preserving much of the transparency and naturalness of conventional manual instrument manipulation.
In some embodiments, the force drag capability may be implemented without a complicated force-torque sensor.
In one embodiment, the system provides six degrees of freedom (DOF) for a given end effector. Three DOFs may be accounted in the Cartesian x-, y-, z-axes by moving the arm 104 from
In one embodiment, the end effector includes an instrument drive mechanism that has additional DOF control in the form of both mechanical insertion/retraction and roll, and pneumatic insertion/retraction. An instrument drive mechanism with DOF control allows for instrument motion to be localized to the distal end of the system, and reduces the amount of motion required of the arm.
B. Global Coordinate System Using Optical Coherence Tomography.
In conjunction with a robotic surgical platform, the present invention provides for a global coordinate system to map the three-dimensional space both outside and inside the operative region in the patient. In the context of ophthalmology, the three dimensional mapping of the operative region, i.e., the eye, may be accomplished through a combination of visual optics and optical coherence tomographical (OCT) scanning.
As in other embodiments, system base 405 may contain a variety of support systems, including control electronics, power sources and optical sources in some embodiments. The system base 405 may contain source of power, pneumatic pressure, and control and sensor electronics—including components such as central processing unit, data bus, control circuitry, and memory—and related actuators or motors that may drive arms such as arm 401. Power may be conveyed from the system base 405 to the arm 401 using a variety of means known to one skilled in the art such as electrical wiring, gear heads, air chambers. The electronics in system base 405 may also process and transmit control signals communicated from a remotely-located command console. In some embodiments, the system base 405 may be coupled or integrated with the laser unit 403 and processing unit 404.
As in other embodiments, the system base 405 may also be mobile. In some embodiments, the system base 405 may be located in various locations in the operating room in order to accommodate space needs and facilitate appropriate placement and motion of modules and instruments with respect to a patient. As in other embodiments, arm 401 may be fixedly coupled to the operating table with the patient. In some embodiments, arm 401 may be coupled to the base of the operating table and reach around to access patient.
Arm 401 may position optical assembly 402 over an operative site such as eye 409. In some embodiments, arm 401 may be referred to as a “vision arm” due to its use with optical assembly 402. In some embodiments, arm 401 may be configured to enable six degrees of freedom control of optical assembly 402 or stereo-optic video system to provide an ideal clinical perspective for the operator.
Optical assembly 402 may comprise of a lens 410, a lens stack 411, mirror reflecting unit 412. Optical assembly 402 works in conjunction with laser emitter/detector unit 403, laser fiber 413. As is understood in the art, an optical coherence tomography (OCT) system operates by emitting laser energy of a predetermined wavelength over an operative region and measuring the scattering of the laser energy that results from interaction with tissue and human anatomy. Scattering often occurs when the index of refraction changes, typically at the interface between different tissues.
Within system 400, the laser energy may be generated by laser unit 403 and conveyed to the optical assembly 402 through the laser fiber 413. In some embodiments, laser unit 403 may be capable of emitting laser light of fixed wavelengths varying from 860 nm to 1300 nm, including wavelengths of 860 nm, 1030 nm, 1040 nm, and 1300 nm. Using shorter wavelengths allows for higher axial resolutions in the OCT image, while sacrificing tissue depth penetration. Conversely, using longer wavelengths generally results in lower axial resolution in the OCT image but provides for greater tissue depth penetration.
Laser fiber 413 may be sheathed by any conventional means such as wiring, castings, or coating. Having reached the optical assembly 402, the laser energy may be redirected through the lens stack 411 by the reflecting unit 412. Reflecting unit 412 may comprise mirrors and reflectors that are manipulated by a galvanometer to direct laser energy through the lens stack 411 and lens 410 into particular regions of the operative site 409. The galvanometer within reflecting unit 412 may direct the laser energy in a precise pattern to scatter laser energy in a measurable pattern.
Depending on the tissues encountered by the laser energy emerging from lens 410, the laser energy may be absorbed, reflected and refracted, scattering the laser energy. The reflected scattered laser energy may be captured through the lens 410 and lens stack 411, reflected back to the laser fiber 413 by the reflecting unit 412, and detected by laser unit 403. Based on the strength and scattering of the reflected laser energy, system 400 may be able to visualize tissue contours and depth in the operative site in three dimensions.
In step 502, the system 400 registers the location of the tool tip, i.e., the location of lens 410 at the tip of the optical assembly 402. This location may be derived from the location of the tip of the robot arm (flange joint 408) and the size of the optical assembly 402. Thus, in combination with arm registration performed in step 501, the system 400 may be able to register the optical assembly to the system base 405, which acts as an anchor in the global coordinate system.
In step 503, the operator may manually move the arm 401 and optical assembly 402 to a desired position over the patient's operative site, i.e., eye. The desired position generally provides a clear line of sight between the optical assembly and the operative site in order for the OCT system to properly scan the site. In some embodiments, the optical assembly is positioned in an overhead position above the patient in order to access the operative site. The optical assembly 402 includes means of aiming and positioning the optical assembly over the site. In some embodiments, this may involve using a camera that makes use of the same lens stack as the OCT system.
Within the optical assembly 706, the visual light optics in microscope 701 are aligned through the objective lens mount 706 into the combining prism assembly 702. The combining prism assembly 702 comprises two separate pieces, separated by a glued dielectric coating at the interface 708. The coating provides a highly reflective surface to infrared light, ensuring that the OCT signal is directed towards the output lens 707, which is situated above the patient's eye (not shown). Conversely, the coating also allows visual light to pass through the combining prism undisturbed, rendering the combining prism highly transmissible to visible light. Thus, using system 700, an operator may visually view the operative site through the microscope 701 to position the optical assembly 706 while also directing the OCT signals onto the operative site using the same assembly.
In some embodiments, one or more downward facing lasers positioned on the exterior of the optical assembly may be used to “aim” the optical assembly over the eye.
In step 504, the system 400 may focus and align the operative region on the eye. In some embodiments, alignment and focus may be performed manually, using the means of aiming and positioning discussed with respect to step 503. In some embodiments, this may be performed robotically. For example, in some embodiments, the system 400 may use an infrared sensor and aiming lasers to align the optical assembly 402. In other embodiments, system 400 may use a visual light camera sensor to autofocus on the operative region.
In step 505, the system 400 may then calculate the location of the operative region (e.g., eye cornea, sclera) using the global coordinate system and the focal length of the optical assembly 402. The system 400 may extrapolate the location of the operative region based on the location of the arm 401, the tip of the optical assembly 402, and the straight-line focal length of the OCT system. Interpolating the location data, the global coordinate system may register three-dimensional coordinates to each of the main components, e.g., arm 401, optical assembly 402, including the operative site 409.
In step 506 of
In step 507, the processing unit 404 may construct a three-dimensional model of the operative region based on the OCT data received by the optical assembly.
Having collected image segments/slices of the operative region, i.e., the eye, in step 802 of process 800, the system may then analyze the images for anatomical contours and boundaries. For example, in image 900 from
Having identified recognizable anatomical contours and landmarks, in step 803 of process 800, the processing unit 404 may combine the mappings of the anatomical contours and landmarks in x- and y-space from the separate image segments to generate a three-dimensional model of the anatomical contours in three-dimensional space. Coordinates in the z-space may be derived using the angle of the galvanometer in reflecting unit 412 at the time the OCT image was captured. The angle of the galvanometer in reflecting unit 412 may be used to derive which portion of the eye was scanned at the time the OCT image was captured. Through repeated iterations of analyzing the x- and y-coordinates generated in step 802 with the angle of the galvanometer, extrapolations into the z-coordinate space may be derived, allowing the system to generate a three-dimensional model in the x-, y-, and z-coordinate planes.
Returning to
In some embodiments, the three-dimensional model may overlay through the view of the eye through the visual light microscope to assist with aligning the optical assembly over the eye. In other embodiments, the view of the eye through the visual light microscope may include reticles and aiming targets to assist the user with identifying anatomical landmarks for alignment.
Having registered the eye to the global coordinate system, in step 509 of process 500, the system may establish surgical boundaries to restrict maneuvers by a robotic tool within the confined anatomical space of the eye. In practice, having generated the ocular surface data, which is registered to the global OCT established world coordinate system, and further having tool tip position in the same coordinate system, an artificial safety barrier may be robotically enforced to prevent the robot from breaching a specified minimum distance between the tool and the surface. This barrier may be used to prevent potential unwanted anatomical collisions. In other words, the system may prevent the tool tip from entering an established “keep out” zone. In other embodiments, an audible warning may be sounded to alert the operator (physician) if the instrument tip approaches within a certain distance of the retinal tissue.
Various challenges exist under this boundary establishment modality, namely; shadowing caused by tools, regions of the anatomy obstructed from view and movement of the anatomical target. Tool shadows occur when OCT scanning signals cannot penetrate surfaces that are opaque to its wavelength. Analyzing tool-based shadows may be used to identify the location of the tool relative to the operative site. In some embodiments, to compensate, the system may interpolate topology of the anatomy based on topology of the surfaces near the obscured region. In similar fashion, the same technique can be used to overcome areas obscured from the global OCT system's view, such as the equatorial regions of the capsule.
To facilitate the use of surgical boundaries, certain embodiments make use of surgical tools that may be registered to the global coordinate system using OCT.
Retro-reflective markers direct light back towards the OCT detector at the inverse of the incidence vector. This phenomenon results in a strong OCT signal spike, known as an “autocorrelation” signal. Thus, in embodiments where the marker is located at the distal end of the tool 1002, a spike in the OCT signal may be used to identify the tip of the tool 1002.
To prevent the autocorrelation signal from saturating the OCT detector, the tool may use a series of retro-reflective strips, spaced at various distances between them (similar to bar codes), the configuration of which is also specific to instrument type, tip location could be determined through kinematic calculations. Thus, using the (known) shape of the tool, such as the distance between the strips (1007) and the distance of striped area (1008), the system may kinematically determine the position and orientation of the tool 1002 within the eye 1001. Moreover, the measured autocorrelation signals may be compared to the expected locations of the autocorrelation signals, based on the kinematics of tool 1002, to further determine the exact position and vector of the tool 1002.
C. Tool-Based OCT Scanning.
In addition to a global coordinate system, the present invention provides for the use of tool-based OCT scanning to measure for tool position relative to anatomical structures, label imaged structures and monitor for acute changes in anatomy.
In some embodiments, a surgical tool may comprise an embedded optical fiber to emit an OCT scanning signal from the tool tip and an OCT detector to detect the resulting scattering from that radiation. In doing so, the tool may be able to scan and detect structures directly in front of the tool tip. Using the tool registration techniques disclosed earlier, the information received by the OCT detector in the tool may also be incorporated into the global coordinate system.
Returning to tool 1002 in
The resulting spectral data, including the spectral spikes, may be analyzed to determine tissue topology and the relative depth of corresponding anatomical features.
Utilizing the methods for determining tool registration described above, and extrapolating a vector position for the OCT signal, the OCT data may be incorporated into the global coordinate system. In doing so, the tool-based OCT data may be used to provide a more detailed three-dimensional anatomical model than using OCT data from the optical assembly alone. With the tool-based OCT data, the anatomical three-dimensional model labeled with names and thicknesses.
In certain embodiments, the tool-based OCT may monitor tool tip proximity to tissue at a rate of 50 Hz, which allows for monitoring aggressive changes in tissue position relative to robotic manipulation. Thus, if an anatomical change occurs that puts the tool at risk of colliding with either the safety boundary or actual anatomy, the system may withdraw the tool to a safe position.
Elements or components shown with any embodiment herein are exemplary for the specific embodiment and may be used on or in combination with other embodiments disclosed herein. While the invention is susceptible to various modifications and alternative forms, specific examples thereof have been shown in the drawings and are herein described in detail. The invention is not limited, however, to the particular forms or methods disclosed, but to the contrary, covers all modifications, equivalents and alternatives thereof.
This application is a continuation of U.S. Pat. No. 10,383,754, issued on Aug. 20, 2019, which is a continuation-in-part of U.S. Publication No. 2014/0142591, published on May 22, 2014 and now abandoned, which claims priority from U.S. Provisional Application No. 61/637,426, filed Apr. 24, 2012, the entire contents of which are incorporated by reference.
Number | Name | Date | Kind |
---|---|---|---|
4597388 | Koziol et al. | Jul 1986 | A |
4905673 | Pimiskern | Mar 1990 | A |
4921393 | Andeen | May 1990 | A |
5375588 | Yoon | Dec 1994 | A |
5402801 | Taylor | Apr 1995 | A |
5425735 | Rosen et al. | Jun 1995 | A |
5472406 | De La Torre et al. | Dec 1995 | A |
5540648 | Yoon | Jul 1996 | A |
5572999 | Funda et al. | Nov 1996 | A |
5577991 | Akui | Nov 1996 | A |
5662590 | De La Torre et al. | Sep 1997 | A |
5695500 | Taylor et al. | Dec 1997 | A |
5746720 | Stouder | May 1998 | A |
5795295 | Hellmuth | Aug 1998 | A |
5865809 | Moenning et al. | Feb 1999 | A |
6033371 | Torre et al. | Mar 2000 | A |
6279579 | Riaziat | Aug 2001 | B1 |
6326616 | Andrien et al. | Dec 2001 | B1 |
6398792 | O'Connor | Jun 2002 | B1 |
6406486 | De La Torre et al. | Jun 2002 | B1 |
6436107 | Wang et al. | Aug 2002 | B1 |
6522906 | Salisbury et al. | Feb 2003 | B1 |
6554793 | Pauker et al. | Apr 2003 | B1 |
6638246 | Naimark et al. | Oct 2003 | B1 |
6671581 | Niemeyer et al. | Dec 2003 | B2 |
6736784 | Menne et al. | May 2004 | B1 |
6763259 | Hauger et al. | Jul 2004 | B1 |
6850817 | Green | Feb 2005 | B1 |
7087061 | Chernenko et al. | Aug 2006 | B2 |
7344528 | Tu et al. | Mar 2008 | B1 |
7351193 | Forman et al. | Apr 2008 | B2 |
7699855 | Anderson | Apr 2010 | B2 |
7725214 | Diolaiti | May 2010 | B2 |
7883475 | Dupont et al. | Feb 2011 | B2 |
7967799 | Boukhny | Jun 2011 | B2 |
8049873 | Hauger et al. | Nov 2011 | B2 |
8224484 | Swarup et al. | Jul 2012 | B2 |
8414564 | Goldshleger et al. | Apr 2013 | B2 |
8469947 | Devengenzo | Jun 2013 | B2 |
8491597 | Russell et al. | Jul 2013 | B2 |
8506555 | Ruiz Morales | Aug 2013 | B2 |
8518024 | Williams et al. | Aug 2013 | B2 |
8827948 | Romo et al. | Sep 2014 | B2 |
9173713 | Hart et al. | Nov 2015 | B2 |
9226796 | Bowling | Jan 2016 | B2 |
9254123 | Alvarez et al. | Feb 2016 | B2 |
9480534 | Bowling | Nov 2016 | B2 |
9504604 | Alvarez | Nov 2016 | B2 |
9561083 | Yu et al. | Feb 2017 | B2 |
9622827 | Yu et al. | Apr 2017 | B2 |
9636184 | Lee et al. | May 2017 | B2 |
9713509 | Schuh et al. | Jul 2017 | B2 |
9727963 | Mintz et al. | Aug 2017 | B2 |
9737371 | Romo et al. | Aug 2017 | B2 |
9737373 | Schuh | Aug 2017 | B2 |
9744335 | Jiang | Aug 2017 | B2 |
9763741 | Alvarez et al. | Sep 2017 | B2 |
9770828 | Taylor | Sep 2017 | B2 |
9788910 | Schuh | Oct 2017 | B2 |
9795445 | Bowling | Oct 2017 | B2 |
9820818 | Malackowski | Nov 2017 | B2 |
9844353 | Walker et al. | Dec 2017 | B2 |
9844412 | Bogusky et al. | Dec 2017 | B2 |
9867635 | Alvarez et al. | Jan 2018 | B2 |
9918681 | Wallace et al. | Mar 2018 | B2 |
9931025 | Graetzel et al. | Apr 2018 | B1 |
9949749 | Noonan et al. | Apr 2018 | B2 |
9955986 | Shah | May 2018 | B2 |
9962228 | Schuh et al. | May 2018 | B2 |
9980785 | Schuh | May 2018 | B2 |
9993313 | Schuh et al. | Jun 2018 | B2 |
10004562 | Kostrzewski | Jun 2018 | B2 |
10004569 | Singh | Jun 2018 | B2 |
10016900 | Meyer et al. | Jul 2018 | B1 |
10022192 | Ummalaneni | Jul 2018 | B1 |
10080576 | Romo et al. | Sep 2018 | B2 |
10136959 | Mintz et al. | Nov 2018 | B2 |
10145747 | Lin et al. | Dec 2018 | B1 |
10149720 | Romo | Dec 2018 | B2 |
10154829 | Henderson et al. | Dec 2018 | B2 |
10159532 | Ummalaneni et al. | Dec 2018 | B1 |
10159533 | Moll et al. | Dec 2018 | B2 |
10169875 | Mintz et al. | Jan 2019 | B2 |
10219874 | Yu et al. | Mar 2019 | B2 |
10231793 | Romo | Mar 2019 | B2 |
10231867 | Alvarez et al. | Mar 2019 | B2 |
10244926 | Noonan et al. | Apr 2019 | B2 |
10285574 | Landey et al. | May 2019 | B2 |
10299870 | Connolly et al. | May 2019 | B2 |
10314463 | Agrawal et al. | Jun 2019 | B2 |
10426559 | Graetzel et al. | Oct 2019 | B2 |
10470830 | Hill | Nov 2019 | B2 |
10482599 | Mintz et al. | Nov 2019 | B2 |
10517692 | Eyre et al. | Dec 2019 | B2 |
10524866 | Srinivasan | Jan 2020 | B2 |
10539478 | Lin | Jan 2020 | B2 |
10555778 | Ummalaneni et al. | Feb 2020 | B2 |
20020193685 | Mate | Dec 2002 | A1 |
20030050558 | Bencini | Mar 2003 | A1 |
20040030349 | Boukhny | Feb 2004 | A1 |
20050070844 | Chow et al. | Mar 2005 | A1 |
20050128197 | Thrun | Jun 2005 | A1 |
20050182295 | Soper et al. | Aug 2005 | A1 |
20060079756 | Lloyd et al. | Apr 2006 | A1 |
20060258938 | Hoffman | Nov 2006 | A1 |
20060270909 | Davis et al. | Nov 2006 | A1 |
20070021738 | Hasser et al. | Jan 2007 | A1 |
20070032906 | Sutherland et al. | Feb 2007 | A1 |
20070135733 | Soukup et al. | Jun 2007 | A1 |
20070135763 | Musbach et al. | Jun 2007 | A1 |
20070144298 | Miller | Jun 2007 | A1 |
20070244599 | Tsai | Oct 2007 | A1 |
20070270685 | Kang et al. | Nov 2007 | A1 |
20070299427 | Yeung et al. | Dec 2007 | A1 |
20080065109 | Larkin | Mar 2008 | A1 |
20080077158 | Haider et al. | Mar 2008 | A1 |
20080097293 | Chin et al. | Apr 2008 | A1 |
20080114341 | Thyzel | May 2008 | A1 |
20080177285 | Brock et al. | Jul 2008 | A1 |
20080187101 | Gertner | Aug 2008 | A1 |
20080188986 | Hoppe | Aug 2008 | A1 |
20080228104 | Uber et al. | Sep 2008 | A1 |
20090024142 | Ruiz Morales | Jan 2009 | A1 |
20090036902 | DiMaio | Feb 2009 | A1 |
20090062602 | Rosenberg et al. | Mar 2009 | A1 |
20090099445 | Burger | Apr 2009 | A1 |
20090088634 | Zhao | May 2009 | A1 |
20090171271 | Webster et al. | Jul 2009 | A1 |
20090248037 | Prisco | Oct 2009 | A1 |
20090248038 | Blumenkranz | Oct 2009 | A1 |
20090248041 | Williams et al. | Oct 2009 | A1 |
20090248043 | Tierney et al. | Oct 2009 | A1 |
20090259412 | Brogardh | Oct 2009 | A1 |
20090264878 | Carmel et al. | Oct 2009 | A1 |
20090268015 | Scott et al. | Oct 2009 | A1 |
20090312768 | Hawkins et al. | Dec 2009 | A1 |
20090326322 | Diolaiti | Dec 2009 | A1 |
20100036294 | Mantell et al. | Feb 2010 | A1 |
20100073150 | Olson et al. | Mar 2010 | A1 |
20100228191 | Alvarez et al. | Sep 2010 | A1 |
20100234999 | Nakajima | Sep 2010 | A1 |
20100280320 | Alvarez et al. | Nov 2010 | A1 |
20100280525 | Alvarez et al. | Nov 2010 | A1 |
20110009779 | Romano et al. | Jan 2011 | A1 |
20110015648 | Alvarez et al. | Jan 2011 | A1 |
20110028887 | Fischer et al. | Feb 2011 | A1 |
20110040404 | Diolaiti et al. | Feb 2011 | A1 |
20110040411 | Murayama et al. | Feb 2011 | A1 |
20110046441 | Wiltshire et al. | Feb 2011 | A1 |
20110060215 | Tupin | Mar 2011 | A1 |
20110106102 | Balicki et al. | May 2011 | A1 |
20110144479 | Hastings et al. | Jun 2011 | A1 |
20110152880 | Alvarez et al. | Jun 2011 | A1 |
20110208355 | Tsusaka | Aug 2011 | A1 |
20110306836 | Ohline et al. | Dec 2011 | A1 |
20120046542 | Csavoy et al. | Feb 2012 | A1 |
20120138586 | Webster et al. | Jun 2012 | A1 |
20120191107 | Tanner et al. | Jul 2012 | A1 |
20120283747 | Popovic | Nov 2012 | A1 |
20130041215 | McDowall | Feb 2013 | A1 |
20130041509 | Saito | Feb 2013 | A1 |
20130116706 | Lee | May 2013 | A1 |
20130123759 | Kang | May 2013 | A1 |
20130144116 | Cooper et al. | Jun 2013 | A1 |
20130169423 | Lescu | Jul 2013 | A1 |
20130173058 | Seo et al. | Jul 2013 | A1 |
20130274596 | Azizian | Oct 2013 | A1 |
20140012276 | Alvarez | Jan 2014 | A1 |
20140039517 | Bowling | Feb 2014 | A1 |
20140052154 | Griffiths | Feb 2014 | A1 |
20140088763 | Hazan | Mar 2014 | A1 |
20140094968 | Taylor | Apr 2014 | A1 |
20140142591 | Alvarez et al. | May 2014 | A1 |
20140253684 | Kumar | Sep 2014 | A1 |
20140276594 | Tanner et al. | Sep 2014 | A1 |
20140276937 | Wong | Sep 2014 | A1 |
20140350387 | Siewerdsen et al. | Nov 2014 | A1 |
20140357984 | Wallace et al. | Dec 2014 | A1 |
20140364870 | Alvarez et al. | Dec 2014 | A1 |
20150051592 | Kintz | Feb 2015 | A1 |
20150051732 | Grygorowicz et al. | Feb 2015 | A1 |
20150066051 | Kwon | Mar 2015 | A1 |
20150164594 | Romo et al. | Jun 2015 | A1 |
20150164596 | Romo | Jun 2015 | A1 |
20150239121 | Takeda | Aug 2015 | A1 |
20150248121 | Nilsson | Sep 2015 | A1 |
20150289941 | Bowling | Oct 2015 | A1 |
20150323398 | Lauzier et al. | Nov 2015 | A1 |
20150328771 | Yuelai et al. | Nov 2015 | A1 |
20150335480 | Alvarez et al. | Nov 2015 | A1 |
20150374446 | Malackowski | Dec 2015 | A1 |
20160001038 | Romo et al. | Jan 2016 | A1 |
20160022189 | Pouteau et al. | Jan 2016 | A1 |
20160031083 | Embon | Feb 2016 | A1 |
20160074117 | Mohr | Mar 2016 | A1 |
20160100896 | Yu | Apr 2016 | A1 |
20160144509 | Gulhar | May 2016 | A1 |
20160151122 | Alvarez et al. | Jun 2016 | A1 |
20160158601 | Lee et al. | Jun 2016 | A1 |
20160221189 | Nilsson | Aug 2016 | A1 |
20160270865 | Landey et al. | Sep 2016 | A1 |
20160279405 | Riley | Sep 2016 | A1 |
20160287279 | Bovay et al. | Oct 2016 | A1 |
20160354925 | Shimodaira | Dec 2016 | A1 |
20170007336 | Tsuboi | Jan 2017 | A1 |
20170007337 | Dan | Jan 2017 | A1 |
20170007342 | Kasai | Jan 2017 | A1 |
20170100199 | Yu et al. | Apr 2017 | A1 |
20170119481 | Romo et al. | May 2017 | A1 |
20170165011 | Bovay et al. | Jun 2017 | A1 |
20170165834 | Hares | Jun 2017 | A1 |
20170172673 | Yu et al. | Jun 2017 | A1 |
20170172680 | Bowling | Jun 2017 | A1 |
20170202627 | Sramek et al. | Jul 2017 | A1 |
20170209073 | Sramek et al. | Jul 2017 | A1 |
20170245955 | Bowling | Aug 2017 | A1 |
20170258529 | Winne | Sep 2017 | A1 |
20170274530 | Mottram | Sep 2017 | A1 |
20170290631 | Lee et al. | Oct 2017 | A1 |
20170333679 | Jiang | Nov 2017 | A1 |
20170340396 | Romo et al. | Nov 2017 | A1 |
20170363669 | Marvast | Dec 2017 | A1 |
20170367782 | Schuh et al. | Dec 2017 | A1 |
20180025666 | Ho et al. | Jan 2018 | A1 |
20180177556 | Noonan et al. | Jun 2018 | A1 |
20180214011 | Graetzel et al. | Aug 2018 | A1 |
20180221038 | Noonan et al. | Aug 2018 | A1 |
20180221039 | Shah | Aug 2018 | A1 |
20180250083 | Schuh et al. | Sep 2018 | A1 |
20180271616 | Schuh et al. | Sep 2018 | A1 |
20180279852 | Rafii-Tari et al. | Oct 2018 | A1 |
20180280660 | Landey et al. | Oct 2018 | A1 |
20180289431 | Draper et al. | Oct 2018 | A1 |
20180325499 | Landey et al. | Nov 2018 | A1 |
20180333044 | Jenkins | Nov 2018 | A1 |
20180360435 | Romo | Dec 2018 | A1 |
20190000559 | Berman et al. | Jan 2019 | A1 |
20190000560 | Berman et al. | Jan 2019 | A1 |
20190000576 | Mintz et al. | Jan 2019 | A1 |
20190083183 | Moll et al. | Mar 2019 | A1 |
20190105776 | Ho et al. | Apr 2019 | A1 |
20190105785 | Meyer | Apr 2019 | A1 |
20190110839 | Rafii-Tari et al. | Apr 2019 | A1 |
20190151148 | Alvarez et al. | Apr 2019 | A1 |
20190167366 | Ummalaneni | Jun 2019 | A1 |
20190175009 | Mintz | Jun 2019 | A1 |
20190175062 | Rafii-Tari et al. | Jun 2019 | A1 |
20190175799 | Hsu | Jun 2019 | A1 |
20190183585 | Rafii-Tari et al. | Jun 2019 | A1 |
20190183587 | Rafii-Tari et al. | Jun 2019 | A1 |
20190216548 | Ummalaneni | Jul 2019 | A1 |
20190216576 | Eyre | Jul 2019 | A1 |
20190223974 | Romo | Jul 2019 | A1 |
20190228525 | Mintz et al. | Jul 2019 | A1 |
20190246882 | Graetzel et al. | Aug 2019 | A1 |
20190262086 | Connolly et al. | Aug 2019 | A1 |
20190269468 | Hsu et al. | Sep 2019 | A1 |
20190274764 | Romo | Sep 2019 | A1 |
20190290109 | Agrawal et al. | Sep 2019 | A1 |
20190298160 | Ummalaneni et al. | Oct 2019 | A1 |
20190298460 | Al-Jadda | Oct 2019 | A1 |
20190298465 | Chin | Oct 2019 | A1 |
20190328213 | Landey et al. | Oct 2019 | A1 |
20190336238 | Yu | Nov 2019 | A1 |
20190365209 | Ye et al. | Dec 2019 | A1 |
20190365479 | Rafii-Tari | Dec 2019 | A1 |
20190365486 | Srinivasan et al. | Dec 2019 | A1 |
20190365491 | Yu | Dec 2019 | A1 |
20190374297 | Wallace et al. | Dec 2019 | A1 |
20190380787 | Ye | Dec 2019 | A1 |
20190380797 | Yu | Dec 2019 | A1 |
20200000530 | DeFonzo | Jan 2020 | A1 |
20200000533 | Schuh | Jan 2020 | A1 |
20200022767 | Hill | Jan 2020 | A1 |
20200039086 | Meyer | Feb 2020 | A1 |
20200046434 | Graetzel | Feb 2020 | A1 |
20200054405 | Schuh | Feb 2020 | A1 |
20200054408 | Schuh et al. | Feb 2020 | A1 |
20200060516 | Baez | Feb 2020 | A1 |
20200093549 | Chin | Mar 2020 | A1 |
20200093554 | Schuh | Mar 2020 | A1 |
20200100845 | Julian | Apr 2020 | A1 |
20200100853 | Ho | Apr 2020 | A1 |
20200101264 | Jiang | Apr 2020 | A1 |
20200107894 | Wallace | Apr 2020 | A1 |
Number | Date | Country |
---|---|---|
0 830 562 | Jul 2009 | EP |
09-224951 | Sep 1997 | JP |
WO 9214411 | Sep 1992 | WO |
WO 03096871 | Nov 2003 | WO |
2004105849 | Dec 2004 | WO |
WO 11161218 | Dec 2011 | WO |
Entry |
---|
Blavier, Adélaïde, Quentin Gaudissart, G-B. Cadiere, and A-S. Nyssen. “Impact of 2D and 3D vision on performance of novice subjects using da Vinci robotic system.” Acta Chirurgica Belgica 106, No. 6 (2006): 662-664. |
Richa, Rogério, et al. “Visual tracking of surgical tools for proximity detection in retinal surgery.” International Conference on Information Processing in Computer-Assisted Interventions. Springer, Berlin, Heidelberg, 2011. |
Balicki, et al. Single fiber optical coherence tomography microsurgical instruments for computer and robot-assisted retinal surgery. Medical Image Computing and Computer-Assisted Intervention. MICCAI 2009. Springer Berlin Heidelberg, 2009. 108-115. |
Bourla, Dan H., et al. “Feasibility study of intraocular robotic surgery with the da Vinci surgical system.” Retina 28.1 (2008): 154-158. |
Ehlers, et al. Integration of a spectral domain optical coherence tomography system into a surgical microscope for intraoperative imaging. Investigative Ophthalmology and Visual Science 52.6. 2011; 3153-3159. |
Hubschman. Robotic Eye Surgery: Past, Present, and Future. Journal of Computer Science and Systems Biology. 2012. |
Skarecky et al., 2008, Zero positive surgical margins after radical prostatectomy: is the end in sight?, Expert Review of Medical Devices, 5(6):709-717. |
St. Jude Medical, EnSite Velocity Cardiac Mapping System, online, http:--www.sjmprofessional.com-Products-US-Mapping-and-Visualization-EnSi- te-Velocity.aspx. |
Verdaasdonk et al., Jan. 23, 2012, Effect of microsecond pulse length and tip shape on explosive bubble formation of 2.78 μm Er, Cr;YSGG and 2.94 μm Er:YAG laser, Proceedings of SPIE, vol. 8221, 12. |
European search report and search opinion dated Jul. 2, 2015 for EP Application No. 12856685.8. |
International search report and written opinion dated Mar. 29, 2013 for PCT/US2012/069540. |
International search report dated Jun. 16, 2014 for PCT/US2014/022424. |
International search report and written opinion dated Nov. 7, 2014 for PCT Application No. PCT/US2014/041990. |
International search report and written opinion dated Jan. 27, 2015 for PCT Application No. PCT/US2014/062284. |
Office action dated May 21, 2015 for U.S. Appl. No. 13/711,440. |
Office action dated Jun. 11, 2015 for U.S. Appl. No. 14/158,548. |
Office action dated Oct. 7, 2014 for U.S. Appl. No. 13/711,440. |
Office action dated Jun. 19, 2014 for U.S. Appl. No. 13/868,769. |
U.S. Appl. No. 14/578,082, filed Dec. 19, 2014, Patented. |
Stoyanov. Surgical vision. Annals of Biomedical Engineering 40.2. 2012; 332-345. Published Oct. 20, 2011. |
Number | Date | Country | |
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20190374383 A1 | Dec 2019 | US |
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61637426 | Apr 2012 | US |
Number | Date | Country | |
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Parent | 14578082 | Dec 2014 | US |
Child | 16529155 | US |
Number | Date | Country | |
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Parent | 13868769 | Apr 2013 | US |
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