Patent Application
20140052150
The present invention pertains to a method and system for cooperative control for surgical tools. More particularly, the present invention pertains to a method and system for presenting force sensor information using cooperative robot control and audio feedback.
Retinal microsurgery is one of the most challenging set of surgical tasks due to human sensory-motor limitations, the need for sophisticated and miniature instrumentation, and the inherent difficulty of performing micron scale motor tasks in a small and fragile environment. In retinal surgery, surgeons are required to perform micron scale maneuvers while safely applying forces to the retinal tissue that are below sensory perception. Surgical performance is further challenged by imprecise instruments, physiological hand tremor, poor visualization, lack of accessibility to some structures, patient movement, and fatigue from prolonged operations. The surgical instruments in retinal surgery are characterized by long, thin shafts (typically 0.5 mm to 0.7 mm in diameter) that are inserted through the sclera (the visible white wall of the eye). The forces exerted by these tools are often far below human sensory thresholds.
The surgeon therefore must rely on visual cues to avoid exerting excessive forces on the retina. These visual cues are a direct result of the forces applied to the tissue, and a trained surgeon reacts to them by retracting the tool and re-grasping the tissue in search of an alternate approach. This interrupts the peeling process, and requires the surgeon to carefully re-approach the target. Sensing the imperceptible micro-force cues and preemptively reacting using robotic manipulators has the potential to allow for a continuous peel, increasing task completion time and minimizing the risk of complications. All of these factors contribute to surgical errors and complications that may lead to vision loss.
An example procedure is the peeling of the epiretinal membrane, where a thin membrane is carefully delaminated off the surface of the retina using delicate (20-25 Ga) surgical instruments. The forces exerted on retinal tissue are often far below human sensory thresholds. In current practice, surgeons have only visual cues to rely on to avoid exerting excessive forces, which have been observed to lead to retinal damage and hemorrhage with associated risk of vision loss.
Although robotic assistants such as the DAVINCI™ surgical robotic system have been widely deployed for laparoscopic surgery, systems targeted at microsurgery are still at the research stage. Microsurgical systems include teleoperation systems, freehand active tremor-cancellation systems, and cooperatively controlled hand-over-hand systems, such as the Johns Hopkins “Steady Hand” robots. In steady-hand control, the surgeon and robot both hold the surgical tool; the robot senses forces exerted by the surgeon on the tool handle, and moves to comply, filtering out any tremor. For retinal microsurgery, the tools typically pivot at the sclera insertion point, unless the surgeon wants to move the eyeball. This pivot point may either be enforced by a mechanically constrained remote center-of-motion or software. Interactions between the tool shaft and sclera complicate both the control of the robot and measurement of tool-to-retina forces.
To measure the tool-to-retina forces, an extremely sensitive (0.25 mN resolution) force sensor has been used, which is mounted on the tool shaft, distal to the sclera insertion point. The force sensor allows for measurement of the tool tissue forces while diminishing interference from tool-sclera forces. In addition, endpoint micro-force sensors have been used in surgical applications, where a force scaling cooperative control method generates robot response based on the scaled difference between tool-tissue and tool hand forces.
In addition, a first-generation steady-hand robot has been specifically designed for vitreoretinal surgery. While this steady-hand robot was successfully used in ex-vivo robot assisted vessel cannulation experiments, it was found to be ergonomically limiting. For example, the first generation steady-hand robot had only a ±30% tool rotation limit. To further expand the tool rotation range, a second generation steady-hand robot has been developed which has increased this range to ±60%. The second generation steady-hand robot utilizes a parallel six-bar mechanism that mechanically provides isocentric motion, without introducing large concurrent joint velocities in the Cartesian stages, which occurred with the first generation steady-hand robots.
The second generation steady-hand robot incorporates both a significantly improved manipulator and an integrated microforce sensing tool, which provides for improved vitreoretinal surgery. However, because of the sensitivity of vitreoretinal surgery, there is still a need in the art for improved control of the tool, to avoid unnecessary complications. For example, complications in vitreoretinal surgery may result from excess and/or incorrect application of forces to ocular tissue. Current practice requires the surgeon to keep operative forces low and safe through slow and steady maneuvering. The surgeon must also rely solely on visual feedback that complicates the problem, as it takes time to detect, assess and then react to the faint cues; a task especially difficult for novice surgeons.
Accordingly, there is a need in the art for an improved control method for surgical tools used in vitreoretinal surgery and the like.
According to a first aspect of the present invention, a system for cooperative control of a surgical tool comprises a tool holder for receiving a surgical tool adapted to be held by a robot and a surgeon, a sensor for detecting a force based on operator input and/or tool tip forces, a controller for limiting robot velocity based upon the force detected between the surgical tool and the tissue so as to provide a haptic feedback, a selector for automatically selecting one level of a multi-level audio feedback based upon the detected force applied, the audio feedback representing the relative intensity of the force applied, and an audio device for providing the audio feedback together with the haptic feedback.
According to a second aspect of the present invention, a system for cooperative control of a surgical tool comprises a tool holder for receiving a surgical tool adapted to he held by a robot and a surgeon, a sensor for detecting a distance between a surgical tool and a target area of interest, a selector for automatically selecting an audio feedback based upon the detected distance, the audio feedback representing range sensing information regarding how far the surgical tool is from the target area of interest, and an audio device for providing the audio feedback.
According to a third aspect of the invention, a method for cooperative control of a surgical tool comprises receiving a surgical tool adapted to be held by a robot and a surgeon, detecting a force at an interface between the surgical tool and tissue, limiting robot velocity based upon the force detected between the surgical tool and the tissue so as to provide a haptic feedback, automatically selecting an audio feedback based upon the detected force, the audio feedback representing the relative intensity of the force applied, and providing the selected audio feedback together with the haptic feedback.
The accompanying drawings provide visual representations which will be used to more fully describe the representative embodiments disclosed herein and can be used by those skilled in the art to better understand them and their inherent advantages. In these drawings, like reference numerals identify corresponding elements and:
The presently disclosed subject matter now will be described more fully hereinafter with reference to the accompanying Drawings, in which some, but not all embodiments of the inventions are shown. Like numbers refer to like elements throughout. The presently disclosed subject matter may be embodied in many different forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will satisfy applicable legal requirements. Indeed, many modifications and other embodiments of the presently disclosed subject matter set forth herein will come to mind to one skilled in the art to which the presently disclosed subject matter pertains having the benefit of the teachings presented in the foregoing descriptions and the associated Drawings. Therefore, it is to be understood that the presently disclosed subject matter is not to be limited to the specific embodiments disclosed and that modifications and other embodiments are intended to be included within the scope of the appended claims.
The present invention pertains to a system and method for cooperative control of a surgical tool. An exemplary embodiment of the invention provides for use of the system and method in cooperatively controlled hand-over-hand systems, such as the robotic assisted surgical system described in “Development and Application of a New Steady-Hand Manipulator for Retinal Surgery”, Mitchell et al., IEEE ICRA, pp. 623-629 (2007), in “Micro-force Sensing in Robot Assisted Membrane Peeling for Vitreoretinal Surgery”, M. Balicki, A. Uneri, I. lordachita, J. Handa, P. Gehlbach, and R. H. Taylor, Medical Image Computing and Computer-Assisted Intervention (MICCAI), Beijing, September, 2010, pp. 303-310, and in “New Steady-Hand Eye Robot with Microforce Sensing for Vitreoretinal Surgery Research”, A. Uneri, M. Balicki, James Handa, Peter Gehlbach, R. Taylor, and I. Iordachita, International Conference on Biomedical Robotics and Biomechatronics (BIOROB), Tokyo, Sep. 26-29, 2010, pp. 814-819, the entire contents of which is incorporated by reference herein. In steady-hand control, the surgeon and robot both hold the surgical tool. The robot senses forces exerted by the surgeon on the tool handle, and moves to comply, filtering out any tremor. While a specific cooperative control system is described in connection with the above publication, it should be understood that the system and method of the present invention may also be applicable to other cooperatively controlled systems, as well as freehand surgery.
With reference to
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Preferably, a custom mechanical RCM is provided, which improves the stiffness and precision of the robot stages. The RCM mechanism improves the general stability of the system by reducing range of motion and velocities in the Cartesian stages when operating in virtual RCM mode, which constrains the tool axis to always intersect the sclerotomy opening on the eye.
With reference to
With continued reference to
For vitreoretinal microsurgical applications, a force sensor should be chosen that allows for sub-mN accuracy, requiring the sensing of forces that are routinely below 7.5 mN. As such a very small instrument size is necessary to be inserted through a 25 Ga sclerotomy opening and the force sensor is designed to obtain measurements at the instrument's tip, below the sclera.
With reference back to
With reference to
As discussed above, there are different cooperative control methodologies that modulate the behavior of the robot based on operative input and/or tool tip forces, and can be used in connection with audio feedback as described in accordance the present invention. The control method parameters considered handle input force range (0-5N), and peeling task forces and velocities. Audio sensory substitution serves as a surrogate or complementary form of feedback and provides high resolution real-time tool tip force information. However, it should be understood that different types of control methods may be used in connection with the audio feedback, in accordance with features of the present invention. In addition, it should be understood that other types of audio feedback are included in the present invention, and are not limited to beeps.
One example of a cooperative control method is a proportional velocity control (PV) paradigm as described in “Preliminary Experiments in Cooperative Human/Robert Force Control for Robot Assisted Microsurgical Manipulation”, Kumar et al., IEEE ICRA, 1:610-617 (2000), the entire disclosure of which is incorporated by reference herein. In particular, the velocity of the tool (V) is proportional to the user's input forces at the handle (Fh). For vitreoretinal surgery, a gain of α=1 was used, which translates handle input force of 1 N to 1 mm/s tool velocity.
Another cooperative control method is called linear force scaling control (FS), which maps, or amplifies, the human-imperceptible forces sensed by the tool tip (Ft) to handle interaction forces by modulating robot velocity. Prior applications used γ=25 and γ=62.5 scale factors (which are low for the range of operating parameters in vitreoretinal peeling), as described in “Evaluation of a Cooperative Manipulation Microsurgical Assistant Robot Applied to Stapedotomy”, Berkelman et al., LNCS ISSU 2208: 1426-1429 (2001) and “Preliminary Experiments in Cooperative Human/Robert Force Control for Robot Assisted Microsurgical Manipulation”, Kumar et al., IEEE ICRA, 1:610-617 (2000), the entire disclosures of which is incorporated by reference herein. Scaling factor of γ=500 can be used to map the 0-10 mN manipulation forces at the tool tip to input forces of 0-5 N at the handle.
Another cooperative control method that can be used in connection with the present invention is proportional velocity control with limits (VL), which increases maneuverability when low tip forces are present. The method uses PV control, but with an additional velocity constraint that is inversely proportional to the tip force. With such scaling, the robot response becomes very sluggish with higher tool tip forces, effectively dampening manipulation velocities. For vitreoretinal surgery, the constraint parameters were chosen empirically to be m=−180 and b=0.9. To avoid zero crossing instability, forces lower than f1=1 mN in magnitude do not limit the velocity. Likewise, to provide some control to the operator when tip forces are above a high threshold (f2=7.5 mN), a velocity limit (v2=0.1) is enforced.
The present invention is also useful for freehand surgery. In current practice, surgeons indirectly assess the relative stress applied to tissue via visual interpretation of changing light reflections from deforming tissue. This type of “visual sensory substitution” requires significant experience and concentration, common only to expert surgeons. To provide more clear and objective feedback, forces may be measured directly and conveyed to the surgeon in real time with auditory representation, according to features of the present invention.
The present invention may also be used in connection with detecting how far the surgical tool is from the target area of interest. In particular, a sensor may be provided for detecting the distance between the surgical tool and the target area of interest. An audio feedback is selected based upon the detected distance. Preferably, the sensor is an OCT range sensor, but may include any other type of distance sensor.
The following Example has been included to provide guidance to one of ordinary skill in the art for practicing representative embodiments of the presently disclosed subject matter. In light of the present disclosure and the general level of skill in the art, those of skill can appreciate that the following Example is intended to be exemplary only and that numerous changes, modifications, and alterations can be employed without departing from the scope of the presently disclosed subject matter. The following Example is offered by way of illustration and not by way of limitation.
A tool with intergrated fiber Bragg grating (FBG) sensors was manufactured with three optical fibers along the tool shaft. The tool was mounted in the robot tool holder in a calibrated orientation relative to the robot. The sensor data was collected and processed at 2 kHz and transmitted over TCP/IP. To simulate the peeling of retinal tissue, a phantom model was generated. Sticky tabs from 19 mm Clear Bandages (RiteAid brand) were found to be a suitable and repeatable phantom for delaminating. The tab was sliced to produce 2 mm wide strips that can be peeled multiple times from its backing, with predictable behavior showing increase of peeling force with increased peeling velocity. The plastic peeling layer was very flexible but strong enough to withstand breaking pressures at the hook attachment site. 20 mm of tool travel was needed to complete a peel.
The effectiveness of the control methods described above were compared with regard to decreasing mean and maximum peeling forces while minimizing the time taken to complete the task. A single subject was tested in this example, which was configured in the following ways. The phantom was adhered to a stable platform with double-stick tape and the robot was positioned so the hook is ˜1.5 mm above the peeling surface. The orientation of the handle was perpendicular to the peeling direction and comfortable to the operator. To eliminate force cues from tool bending, the visibility of the tool shaft was obstructed with the exception of the tool tip. The test subject was trained extensively (˜3 hours) prior to the trials. Five minute breaks were allowed between trials. The operator was directed to peel the membrane steadily and as slow as possible without stopping. To simplifying the experiments, the robot motion was limited to Cartesian translations only; experiments showed no noticeable difference between trials with and without rotational DOFs. No visual magnification was provided to the operator. For all trials, the same sample was used and, for consistency, the behavior of the sample before and after the experiment was tested. For comparison, freehand peeling tests where the operator peeled the sample without robot assistance were included. Five trials of each method were performed with audio feedback, and five without.
In every method tested, audio feedback decreased the maximum tip forces, as well as tip force variability. It significantly increased the task completion time for freehand and proportional velocity control trials while the time decreased slightly for the others. The operator was naturally inclined to “hover” around the discrete audio transition point corresponding to 3.5 mN, which was observed in all cases except freehand. This was particularly prominent in force scaling, where the operator appears to rely on audio cues over haptic feedback (see
Freehand (
Proportional Velocity (
Force Scaling (
Velocity Limiting (
Accordingly to experimental data above, the present invention provides a system and method capable of measuring and reacting to forces under 7.5 mN, a common range in microsurgery. In addition, the force scaling together with audio feedback provides the most intuitive response and force-reducing performance in a simulated membrane peeling task, where the goal is to apply low and steady forces to generate a controlled delamination.
Although the present invention has been described in connection with preferred embodiments thereof, it will he appreciated by those skilled in the art that additions, deletions, modifications, and substitutions not specifically described may be made without departing from the spirit and scope of the invention as defined in the appended claims.
This application claims the benefit of U.S. Provisional Patent Application No. 61/370,029, filed on Aug. 2, 2010, which is hereby incorporated by reference tor all purposes as if fully set forth herein.
This invention was made with U.S. government support under grant no. EB007969 awarded by the National Institutes of Health and EEC9731478 awarded by National Science Foundation. The U.S. government has certain rights in the invention.
| Filing Document | Filing Date | Country | Kind | 371c Date |
|---|---|---|---|---|
| PCT/US2011/046276 | 8/2/2011 | WO | 00 | 9/13/2013 |
| Number | Date | Country | |
|---|---|---|---|
| 61370029 | Aug 2010 | US |
