Abstract: A method comprises identifying connected anatomical structures in stored images of a patient anatomy and generating a plurality of cylindrical linkage elements representing the connected anatomical structures.

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 of modeling anatomic deformation comprises receiving a reference three dimensional model of a branched anatomical formation in a reference state. The method further comprises applying a three dimensional deformation field to the reference three dimensional model to create a deformed three dimensional model of a deformed state of the branched anatomical formation and dynamically displaying an image of the deformed three dimensional model of the deformed state of the branched anatomical formation.

Abstract: A system comprises a processor and a memory storing computer-readable instructions that, when executed by the processor, cause the system to: define a subregion of a model of an anatomic region, the subregion including a plurality of virtual tissue structures and corresponding to an area surrounding a tip of an image capture probe located within the anatomic region; compare a tissue structure in an image received from the image capture probe to at least a portion of virtual tissue structures of the plurality of virtual tissue structures; based on the comparison, determine a respective similarity measure between the image and each virtual tissue structure; identify a closest matched virtual tissue structure based on the determined similarity measures; and based on identifying the closest matched virtual tissue structure, register the image to the model to determine a virtual position for the image capture probe with respect to the model.

Abstract: A medical system includes an elongate instrument, a tracking system, and one or more processors. The tracking system is disposed along at least a portion of the elongate instrument. The one or more processors are coupled to the tracking system and are configured to: generate a plurality of linked bounded-surface elements corresponding to a set of connected passageways of a patient anatomy; receive shape information from the tracking system, the shape information indicating a shape of at least a portion of the elongate instrument when the portion is disposed in the set of connected passageways; register the shape information to the plurality of linked bounded-surface elements; and based on the registering, display a composite image including an instrument image of the elongate instrument displayed within a model of the set of connected passageways.

Abstract: A non-transitory machine-readable media stores instructions that, when run by one or more processors, cause the one or more processors to store a deformable model of a patient anatomy and deform the deformable model based on a measured deformation of a branched anatomical structure of the patient anatomy. The deformable model includes a skeleton tree of nodes and linkages representing the branched anatomical structure of the patient anatomy. Each of the nodes is located at a respective bifurcation of the branched anatomical structure, and at each respective bifurcation the corresponding linkages include an orientation. The deformable model is deformed by modifying the orientations of the linkages of the branched anatomical structure.

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 non-transitory machine-readable media storing instructions that, when run by one or more processors, cause the one or more processors to store a deformable model of anatomic passageways of a patient anatomy. The deformable model comprises a plurality of model passageway links connected at connection points, and each of the model passageway links includes a centerline. At each respective connection point, the corresponding passageway links include an orientation. The instructions further cause the one or more processors to modify the deformable model by modifying relative orientations of one or more model passageway links of the plurality of model passageway links. The modifying is based on one or more modeling parameters that affect a shape of the plurality of model passageway links.

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 and medical system for estimating the deformation of an anatomic structure that comprises generating a first model of at least one anatomical passageway from anatomical data describing a patient anatomy and determining a shape of a device positioned within the branched anatomical passageways. The method and medical system also comprise generating a second model of the plurality of branched anatomical passageways by adjusting the first model relative to the determined shape of the device.

Abstract: A system comprises a processor and a memory storing computer-readable instructions that, when executed by the processor, cause the system to: define a subregion of a model of an anatomic region, the subregion including a plurality of virtual tissue structures and corresponding to an area surrounding a tip of an image capture probe located within the anatomic region; compare a tissue structure in an image received from the image capture probe to at least a portion of virtual tissue structures of the plurality of virtual tissue structures; based on the comparison, determine a respective similarity measure between the image and each virtual tissue structure; identify a closest matched virtual tissue structure based on the determined similarity measures; and based on identifying the closest matched virtual tissue structure, register the image to the model to determine a virtual position for the image capture probe with respect to the model.

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 of planning a procedure to deploy an interventional instrument comprises receiving a model of an anatomic structure. The anatomic structure includes a plurality of passageways. The method further includes identifying a target structure in the model and receiving information about an operational capability of the interventional instrument within the plurality of passageways. The method further comprises identifying a planned deployment location for positioning a distal tip of the interventional instrument to perform the procedure on the target structure based upon the operational capability of the interventional instrument.

Abstract: A non-transitory machine-readable media stores instructions that, when run by one or more processors, cause the one or more processors to store a deformable model of a patient anatomy and deform the deformable model based on a measured deformation of a branched anatomical structure of the patient anatomy. The deformable model includes a skeleton tree of nodes and linkages representing the branched anatomical structure of the patient anatomy. Each of the nodes is located at a respective bifurcation of the branched anatomical structure, and at each respective bifurcation the corresponding linkages include an orientation. The deformable model is deformed by modifying the orientations of the linkages of the branched anatomical structure.

Abstract: A medical system includes an elongate instrument, a tracking system, and one or more processors. The tracking system is disposed along at least a portion of the elongate instrument. The one or more processors are coupled to the tracking system and are configured to: receive a model of a set of connected passageways of a patient anatomy; receive shape information from the tracking system, the shape information indicating a shape of at least a portion the elongate instrument when the portion is disposed in the set of connected passageways; register the shape information to the model; and display a composite image including the model and an instrument image of the elongate instrument.

Abstract: A non-transitory machine-readable media storing instructions is provided. The instructions cause one or more processors to: define a subregion of a model of an anatomic region of a patient anatomy, the subregion corresponding to an area surrounding a tip of an image capture probe located within the anatomic region, the subregion including a plurality of virtual tissue structures—a set of virtual tissue structures of the plurality of virtual tissue structures is situated distally from the tip of the probe; compare a tissue structure in an image received from a camera positioned at the tip of the probe to a portion of the plurality of virtual tissue structures to identify a closest matched virtual tissue structure; and based on identification of the closest matched virtual tissue structure, register the image to the model to identify a virtual probe position for the tip of the probe with respect to the model.

Abstract: A method of modeling a cyclic anatomical motion comprises receiving a pose dataset for an identified point on an interventional instrument retained within and in compliant movement with a cyclically moving patient anatomy for a plurality of time parameters. The method also includes determining a set of pose differentials for the identified point with respect to a reference point at each of the plurality of time parameters and identifying a periodic signal for the cyclic anatomical motion from the set of pose differentials.