Abstract: A robotic surgical system positions and holds an endoscope. A visible imaging system is coupled to the endoscope. The visible imaging system captures a visible image of tissue. An alternate imaging system is also coupled to the endoscope. The alternate imaging system captures a fluorescence image of at least a portion of the tissue. A stereoscopic video display system is coupled to the visible imaging system and to the alternate imaging system. The stereoscopic video display system outputs a real-time stereoscopic image comprising a three-dimensional presentation of a blend of a fluorescence image associated with the captured fluorescence image, and the visible image.

Abstract: In one embodiment of the invention, a method is disclosed to locate a robotic instrument in the field of view of a camera. The method includes capturing sequential images in a field of view of a camera. The sequential images are correlated between successive views. The method further includes receiving a kinematic datum to provide an approximate location of the robotic instrument and then analyzing the sequential images in response to the approximate location of the robotic instrument. An additional method for robotic systems is disclosed. Further disclosed is a method for indicating tool entrance into the field of view of a camera.

Abstract: In one embodiment of the invention, a method for a robotic system is disclosed to track one or more robotic instruments. The method includes generating kinematics information for the robotic instrument within a field of view of a camera; capturing image information in the field of view of the camera; and adaptively fusing the kinematics information and the image information together to determine pose information of the robotic instrument. Additionally disclosed is a robotic medical system with a tool tracking sub-system. The tool tracking sub-system receives raw kinematics information and video image information of the robotic instrument to generate corrected kinematics information for the robotic instrument by adaptively fusing the raw kinematics information and the video image information together.

Abstract: In one embodiment of the invention, a method is disclosed to locate a robotic instrument in the field of view of a camera. The method includes capturing sequential images in a field of view of a camera. The sequential images are correlated between successive views. The method further includes receiving a kinematic datum to provide an approximate location of the robotic instrument and then analyzing the sequential images in response to the approximate location of the robotic instrument. An additional method for robotic systems is disclosed. Further disclosed is a method for indicating tool entrance into the field of view of a camera.

Abstract: In one embodiment of the invention, a tool tracking system is disclosed including a computer usable medium having computer readable program code to receive images of video frames from at least one camera and to perform image matching of a robotic instrument to determine video pose information of the robotic instrument within the images. The tool tracking system further includes computer readable program code to provide a state-space model of a sequence of states of corrected kinematics information for accurate pose information of the robotic instrument. The state-space model receives raw kinematics information of mechanical pose information and adaptively fuses the mechanical pose information and the video pose information together to generate the sequence of states of the corrected kinematics information for the robotic instrument. Additionally disclosed are methods for image guided surgery.

Abstract: Robotic devices, systems, and methods for use in telesurgical therapies through minimally invasive apertures make use of joint-based data throughout much of the robotic kinematic chain, but selectively rely on information from an image capture device to determine location and orientation along the linkage adjacent a pivotal center at which a shaft of the robotic surgical tool enters the patient. A bias offset may be applied to a pose (including both an orientation and a location) at the pivotal center to enhance accuracy. The bias offset may be applied as a simple rigid transformation from the image-based pivotal center pose to a joint-based pivotal center pose.

Abstract: Robotic and/or measurement devices, systems, and methods for telesurgical and other applications employ input devices operatively coupled to tools so as to allow a system user to manipulate tissues and other structures being measured. The system may make use of three dimensional position information from stereoscopic images. Two or more discrete points can be designated in three dimensions so as to provide a cumulative length along a straight or curving structure, an area measurement, a volume measurement, or the like. The discrete points may be identified by a single surgical tool or by distances separating two or more surgical tools, with the user optionally measuring a structure longer than a field of view of the stereoscopic image capture device by walking a pair of tools “hand-over-hand” along the structure.

Abstract: Robotic and/or measurement devices, systems, and methods for telesurgical and other applications employ input devices operatively coupled to tools so as to allow a system user to manipulate tissues and other structures being measured. The system may make use of three dimensional position information from stereoscopic images. Two or more discrete points can be designated in three dimensions so as to provide a cumulative length along a straight or curving structure, an area measurement, a volume measurement, or the like. The discrete points may be identified by a single surgical tool or by distances separating two or more surgical tools, with the user optionally measuring a structure longer than a field of view of the stereoscopic image capture device by walking a pair of tools “hand-over-hand” along the structure.

Abstract: A scene-based non-uniformity correction method employing local constant statistics for eliminating fixed pattern noise in a video comprising a plurality of images is disclosed, comprising the steps of providing an initial gain image, an initial offset image, a predetermined pyramid level, and a filter of a predetermined level; setting one of the plurality of input images to the current image; calculating a temporary true scene image for the current image based on the initial gain image and the initial offset image; accumulating a temporal mean image and a temporal standard deviation image based on the calculated temporary true scene image; setting another of the plurality of images to the current image and repeating the setting, calculating, and accumulating steps until substantially all of the images of the plurality of images have been processed, otherwise further perform the steps of calculating a Gaussian mean image based on the accumulated temporal mean and calculating a Gaussian gain image based on the

Abstract: The present disclosure relates to systems, methods, and tools for tool tracking using image-derived data from one or more tool located reference features. A method includes: directing illuminating light from a light source onto a robotic surgical tool within a patient body, wherein the tool includes a plurality of primitive features having known positions on the tool, and wherein each feature includes a spherical reflective surface; capturing stereo images of the plurality of primitive features when the tool is within the patient body, wherein the stereo images are captured by an image capture device adjacent the illumination source so that the illumination light reflected from the imaged primitive features toward the image capture device substantially aligns with spherical centers of the surfaces of the imaged primitive features, and determining a position for the tool by processing the stereo images so as to locate the spherical centers of the imaged primitive features by using the reflected light.

Abstract: The present disclosure relates to systems, methods, and tools for tool tracking using image-derived data from one or more tool-located reference features. A method includes: capturing a first image of a tool that includes multiple features that define a first marker, where at least one of the features of the first marker includes an identification feature; determining a position for the first marker by processing the first image; determining an identification for the first marker by using the at least one identification feature by processing the first image; and determining a tool state for the tool by using the position and the identification of the first marker.

Abstract: Systems, methods, and devices are used to match images. Points of interest from a first image are identified for matching to a second image. In response to the identified points of interest, regions and features can be identified and used to match the points of interest to a corresponding second image or second series of images. Regions can be used to match the points of interest when regions of the first image are matched to the second image with high confidence scores, for example above a threshold. Features of the first image can be matched to the second image, and these matched features may be used to match the points of interest to the second image, for example when the confidence scores for the regions are below the threshold value. Constraint can be used to evaluate the matched points of interest, for example by excluding bad points.

Abstract: An apparatus is configured to show telestration in 3-D to a surgeon in real time. A proctor is shown one side of a stereo image pair, such that the proctor can draw a telestration line on the one side with an input device. Points of interest are identified for matching to the other side of the stereo image pair. In response to the identified points of interest, regions and features are identified and used to match the points of interest to the other side. Regions can be used to match the points of interest. Features of the first image can be matched to the second image and used to match the points of interest to the second image, for example when the confidence scores for the regions are below a threshold value. Constraints can be used to evaluate the matched points of interest, for example by excluding bad points.

Abstract: Methods of and a system for providing a visual representation of force information in a robotic surgical system. A real position of a surgical end effector is determined. A projected position of the surgical end effector if no force were applied against the end effector is also determined. Images representing the real and projected positions are output superimposed on a display. The offset between the two images provides a visual indication of a force applied to the end effector or to the kinematic chain that supports the end effector. In addition, tissue deformation information is determined and displayed.

Abstract: Methods of and a system for providing force information for a robotic surgical system. The method includes storing first kinematic position information and first actual position information for a first position of an end effector; moving the end effector via the robotic surgical system from the first position to a second position; storing second kinematic position information and second actual position information for the second position; and providing force information regarding force applied to the end effector at the second position utilizing the first actual position information, the second actual position information, the first kinematic position information, and the second kinematic position information. Visual force feedback is also provided via superimposing an estimated position of an end effector without force over an image of the actual position of the end effector. Similarly, tissue elasticity visual displays may be shown.

Abstract: An illumination channel, a stereoscopic optical channel and another optical channel are held and positioned by a robotic surgical system. A first capture unit captures a stereoscopic visible image from the first light from the stereoscopic optical channel while a second capture unit captures a fluorescence image from the second light from the other optical channel. An intelligent image processing system receives the captured stereoscopic visible image and the captured fluorescence image and generates a stereoscopic pair of fluorescence images. An augmented stereoscopic display system outputs a real-time stereoscopic image comprising a three-dimensional presentation of a blend of the stereoscopic visible image and the stereoscopic pair of fluorescence images.

Abstract: An endoscope with a stereoscopic optical channel is again held and positioned by a robotic surgical system. A capture unit captures (1) at a first time, a first image from light from the channel; and (2) at a second time different from the first time, a second image from the light. Only one of the first image and the second image includes a combination of a fluorescence image and a visible image. The other of the first image and the second image is a visible image. An intelligent image processing system generates an artificial fluorescence image using the captured fluorescence image. An augmented stereoscopic display system outputs an augmented stereoscopic image of at least a portion of the tissue comprising the artificial fluorescence image.

Abstract: An endoscope with a stereoscopic optical channel is held and positioned by a robotic surgical system. A first capture unit captures: a visible first color component of a visible left image combined with a fluorescence left image from first light from one channel in the endoscope; a visible second color component of the visible left image from the first light; and a visible third color component of the visible left image from the first light. A second capture unit captures: a visible first color component of a visible right image combined with a fluorescence right image from second light from the other channel in the endoscope; a visible second color component of the visible right image from the second light; and a visible third color component of the visible right image from the second light. An augmented stereoscopic outputs a real-time stereoscopic image including a three-dimensional presentation including the visible left and right images and the fluorescence left and right images.

Abstract: A robotic surgical system positions and holds an endoscope. A visible imaging system is coupled to the endoscope. The visible imaging system captures a visible image of tissue. An alternate imaging system is also coupled to the endoscope. The alternate imaging system captures a fluorescence image of at least a portion of the tissue. A stereoscopic video display system is coupled to the visible imaging system and to the alternate imaging system. The stereoscopic video display system outputs a real-time stereoscopic image comprising a three-dimensional presentation of a blend of a fluorescence image associated with the captured fluorescence image, and the visible image.

Abstract: An endoscope with a stereoscopic optical channel is held and positioned by a robotic surgical system. A capture unit captures (1) a visible first image and (2) a visible second image combined with a fluorescence second image from the light. An intelligent image processing system receives (1) the visible first image and (2) the visible second image combined with the fluorescence second image and generates at least one fluorescence image of a stereoscopic pair of fluorescence images and a visible second image. An augmented stereoscopic display system outputs a real-time stereoscopic image including a three-dimensional presentation including in one eye, a blend of the at least one fluorescence image of a stereoscopic pair of fluorescence images and one of the visible first and second images; and in the other eye, the other of the visible first and second images.