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:
A method comprises receiving a set of model points of a model of one or more passageways of a patient. The method further comprises receiving a set of measured points collected from within the one or more passageways of the patient. Each point comprises coordinates within a medical environment occupied by the patient. The method further comprises matching each measured point to a model point to generate a set of matches. The method further comprises assigning a weight to each of the measured points based on the set of matches to generate a weighted set of matches. The method further comprises moving the set of measured points relative to the set of model points based on the weighted set of matches.
Abstract:
A system comprises: a robotic arm operatively coupleable to a tool comprising a working end; and an input device communicatively coupled to the robotic arm. The input device is manipulatable by an operator. The system further comprises a processor configured to cause an image of a work site, captured by an image capture device from a perspective of an image reference frame, to be displayed on a display. The image of the work site includes an image of the working end of the tool. The processor is further configured to determine a position of the working end of the tool in the image of the work site and render a tool information overlay at the position of the working end of the tool in the image of the work site. The tool information overlay visually indicates an identity of the input device.
Abstract:
A method performed by a computing system comprises receiving a fluoroscopic image of a patient anatomy while a portion of a medical instrument is positioned within the patient anatomy. The fluoroscopic image has a fluoroscopic frame of reference. The portion has a sensed position in an anatomic model frame of reference. The method further comprises identifying the portion in the fluoroscopic image and identifying an extracted position of the portion in the fluoroscopic frame of reference using the identified portion in the fluoroscopic image. The method further comprises registering the fluoroscopic frame of reference to the anatomic model frame of reference based on the sensed position of the portion and the extracted position of the portion.
Abstract:
A method performed by a computing system comprises receiving a fluoroscopic image of a patient anatomy while a portion of a medical instrument is positioned within the patient anatomy. The fluoroscopic image has a fluoroscopic frame of reference. The portion has a sensed position in an anatomic model frame of reference. The method further comprises identifying the portion in the fluoroscopic image and identifying an extracted position of the portion in the fluoroscopic frame of reference using the identified portion in the fluoroscopic image. The method further comprises registering the fluoroscopic frame of reference to the anatomic model frame of reference based on the sensed position of the portion and the extracted position of the portion.
Abstract:
A medical robotic system and method of operating such comprises taking intraoperative external image data of a patient anatomy, and using that image data to generate a modeling adjustment for a control system of the medical robotic system (e.g., updating anatomic model and/or refining instrument registration), and/or adjust a procedure control aspect (e.g., regulating substance or therapy delivery, improving targeting, and/or tracking performance).
Abstract:
A medical robotic system and method of operating such comprises taking intraoperative external image data of a patient anatomy, and using that image data to generate a modeling adjustment for a control system of the medical robotic system (e.g., updating anatomic model and/or refining instrument registration), and/or adjust a procedure control aspect (e.g., regulating substance or therapy delivery, improving targeting, and/or tracking performance).
Abstract:
A medical robotic system and method of operating such comprises taking intraoperative external image data of a patient anatomy, and using that image data to generate a modeling adjustment for a control system of the medical robotic system (e.g., updating anatomic model and/or refining instrument registration), and/or adjust a procedure control aspect (e.g., regulating substance or therapy delivery, improving targeting, and/or tracking performance).
Abstract:
A method for image segmentation comprises receiving volumetric image data for an anatomical region and generating a first volumetric patch from the volumetric image data. The method also comprises generating a second volumetric patch from the first volumetric patch by weighting a plurality of volumetric units in the first volumetric patch and receiving the second volumetric patch as an input to a convolutional neural network. The method also comprises conducting a down-sampling filter process and conducting an up-sampling filter process within the convolutional neural network.
Abstract:
A method comprises receiving a set of model points of a model of one or more passageways of a patient. The method further comprises receiving a set of measured points collected from within the one or more passageways of the patient. Each point comprises coordinates within a medical environment occupied by the patient. The method further comprises matching each measured point to a model point to generate a set of matches. The method further comprises assigning a weight to each of the measured points based on the set of matches to generate a weighted set of matches. The method further comprises moving the set of measured points relative to the set of model points based on the weighted set of matches.