Abstract: An example method may include acquiring images from cameras, each having a known position and orientation with respect to a spatial coordinate system of an augmented reality (AR) device. The acquired images may include portions of a multi-modal marker device that includes at least one tracking sensor having a three-dimensional position that is detectable in a coordinate system of a tracking system. A three-dimensional position is estimated for the portions of the multi-modal marker device with respect to the spatial coordinate system of the AR device based on each of the respective acquired images and the known position and orientation of the cameras with respect to the spatial coordinate system of the AR device. The method also includes computing an affine transform configured to register the coordinate system of the tracking system with a visual space of a display that is in the spatial coordinate system of the AR device.

Abstract: This disclosure relates generally to systems and methods for characterizing a behavior of an anatomical structure. Tracking data can be generated by a tracking system to represent at least a location of at least one sensor in a three-dimensional tracking coordinate system over time. A motion model is generated to characterize the behavior of the anatomical structure over a plurality of time instances. For instance, the motion model includes at least one free parameter and a temporal parameter. Each free parameter estimating geometry of the anatomical structure derived from the tracking data, and the temporal parameter indexes the free parameter over the plurality of time instances. A visualization is generated to provide a sequence of graphical images based on the motion model to characterize behavior of the anatomical structure over time.

Abstract: An example method may include acquiring images from cameras, each having a known position and orientation with respect to a spatial coordinate system of an augmented reality (AR) device. The acquired images may include portions of a multi-modal marker device that includes at least one tracking sensor having a three-dimensional position that is detectable in a coordinate system of a tracking system. A three-dimensional position is estimated for the portions of the multi-modal marker device with respect to the spatial coordinate system of the AR device based on each of the respective acquired images and the known position and orientation of the cameras with respect to the spatial coordinate system of the AR device. The method also includes computing an affine transform configured to register the coordinate system of the tracking system with a visual space of a display that is in the spatial coordinate system of the AR device.

Abstract: An example method includes acquiring a first image using a medical imaging modality that includes a two-dimensional field of view to include a patient and a multi-modal marker. A second image is acquired using the medical image modality. The second image includes the patient and the multimodal marker and is along a non-coincident angle with respect to the first image. Predetermined portions of the multi-modal marker are visible in the first and second images and have a known location and orientation with respect to at least one sensor detectable by a tracking system. The method also includes estimating a three-dimensional position for predetermined portions of the multi-modal marker. The method also includes determining an affine transformation for registering a three-dimensional coordinate system of the tracking system with a three-dimensional coordinate system of the medical imaging modality.

Abstract: In an example, a method can include segmented image volume data for at least one anatomic structure, wherein the segmented image volume data includes a 3-D image volume that includes the at least one anatomic structure. The method can include searching outward from a computed centerline for the at least one anatomic structure to detect a surface of one or more regions of interest of the at least one anatomic structure by evaluating values associated with voxels representing the 3-D image volume that includes the at least one anatomic structure relative to a threshold. The method can further include isolating the one or more regions of interest of the at least one anatomic structure in response to the searching and generating a region of interest model based on the one or more isolated regions of interest.

Abstract: System and methods are disclosed to facilitate intra-operative procedures and planning. A method can include storing tracking data in memory, the tracking data being generated by a tracking system to represent a location of an object in a tracking coordinate system of the tracking system. The method can also include storing a patient-specific implicit model in memory, the patient-specific implicit model being generated based on image data acquired for the patient to define geometry of an anatomical structure of the patient. The method can also include registering the tracking data and the patient-specific implicit model in a common three-dimensional coordinate system. The method can also include generating an output visualization representing a location of the object relative to the geometry of the anatomical structure of the patient in the common coordinate system.

Abstract: System and methods are disclosed to facilitate intra-operative procedures and planning. A method can include storing tracking data in memory, the tracking data being generated by a tracking system to represent a location of an object in a tracking coordinate system of the tracking system. The method can also include storing a patient-specific implicit model in memory, the patient-specific implicit model being generated based on image data acquired for the patient to define geometry of an anatomical structure of the patient. The method can also include registering the tracking data and the patient-specific implicit model in a common three-dimensional coordinate system. The method can also include generating an output visualization representing a location of the object relative to the geometry of the anatomical structure of the patient in the common coordinate system.

Abstract: An example method includes acquiring a first image using a medical imaging modality that includes a two-dimensional field of view to include a patient and a multi-modal marker. A second image is acquired using the medical image modality. The second image includes the patient and the multimodal marker and is along a non-coincident angle with respect to the first image. Predetermined portions of the multi-modal marker are visible in the first and second images and have a known location and orientation with respect to at least one sensor detectable by a tracking system. The method also includes estimating a three-dimensional position for predetermined portions of the multi-modal marker. The method also includes determining an affine transformation for registering a three-dimensional coordinate system of the tracking system with a three-dimensional coordinate system of the medical imaging modality.

Abstract: In an example, a method can include segmented image volume data for at least one anatomic structure, wherein the segmented image volume data includes a 3-D image volume that includes the at least one anatomic structure. The method can include searching outward from a computed centerline for the at least one anatomic structure to detect a surface of one or more regions of interest of the at least one anatomic structure by evaluating values associated with voxels representing the 3-D image volume that includes the at least one anatomic structure relative to a threshold. The method can further include isolating the one or more regions of interest of the at least one anatomic structure in response to the searching and generating a region of interest model based on the one or more isolated regions of interest.

Abstract: An example method may include acquiring images from cameras, each having a known position and orientation with respect to a spatial coordinate system of an augmented reality (AR) device. The acquired images may include portions of a multi-modal marker device that includes at least one tracking sensor having a three-dimensional position that is detectable in a coordinate system of a tracking system. A three-dimensional position is estimated for the portions of the multi-modal marker device with respect to the spatial coordinate system of the AR device based on each of the respective acquired images and the known position and orientation of the cameras with respect to the spatial coordinate system of the AR device. The method also includes computing an affine transform configured to register the coordinate system of the tracking system with a visual space of a display that is in the spatial coordinate system of the AR device.

Abstract: A connector for placing an elongate endovascular device and an electrical accessory item into electrical connection is described. A connector body with longitudinally separated proximal and distal body ends is electrically connected to the electrical accessory item. A connection cavity extends into, and partially through, the connector body from a cavity aperture in the distal body end. At least one electrical connector contact is located in the connection cavity. The electrical connector contact is configured for longitudinal alignment with, and electrical communication to, at least a conductive portion of the endovascular device selectively present in the connection cavity. A device grasper is operable to selectively maintain the conductive portion of the endovascular device longitudinally within the connection cavity. A method and system for using the connector are also disclosed.

Abstract: This disclosure relates generally to systems and methods for characterizing a behavior of an anatomical structure. Tracking data can be generated by a tracking system to represent at least a location of at least one sensor in a three-dimensional tracking coordinate system over time. A motion model is generated to characterize the behavior of the anatomical structure over a plurality of time instances. For instance, the motion model includes at least one free parameter and a temporal parameter. Each free parameter estimating geometry of the anatomical structure derived from the tracking data, and the temporal parameter indexes the free parameter over the plurality of time instances. A visualization is generated to provide a sequence of graphical images based on the motion model to characterize behavior of the anatomical structure over time.

Abstract: System and methods are disclosed to facilitate intra-operative procedures and planning. A method can include storing tracking data in memory, the tracking data being generated by a tracking system to represent a location of an object in a tracking coordinate system of the tracking system. The method can also include storing a patient-specific implicit model in memory, the patient-specific implicit model being generated based on image data acquired for the patient to define geometry of an anatomical structure of the patient. The method can also include registering the tracking data and the patient-specific implicit model in a common three-dimensional coordinate system. The method can also include generating an output visualization representing a location of the object relative to the geometry of the anatomical structure of the patient in the common coordinate system.