Abstract: A system for constructing fluoroscopic-based three-dimensional volumetric data of a target area within a patient from two-dimensional fluoroscopic images including a structure of markers, a fluoroscopic imaging device configured to acquire a sequence of images of the target area and of the structure of markers, and a computing device. The computing device is configured to estimate a pose of the fluoroscopic imaging device for at least a plurality of images of the sequence of images based on detection of a possible and most probable projection of the structure of markers as a whole on each image of the plurality of images. The computing device is further configured to construct fluoroscopic-based three-dimensional volumetric data of the target area based on the estimated poses of the fluoroscopic imaging device.

Abstract: A system for registering a luminal network to a 3D model of the luminal network includes a computing device configured to identify potential matches in the 3D model with location data of a location sensor, assigning one of the potential matches a registration score based on a deformation model applied to the 3D model, and displaying the potential match having the highest registration score.

Abstract: A flexible catheter includes an elongated body, a first monolithic wire, and a second monolithic wire. The first monolithic wire forms a first sensor that is disposed in the distal end portion of the elongated body. The first sensor is configured to detect the position of a distal end of the elongated body within anatomy of a patient. The second monolithic wire forms a second sensor that is disposed in the distal end portion of the elongated body a known distance from the first sensor. The first and second sensors are configured to determine the position of the distal end portion within six degrees-of-freedom. A method of manufacturing the flexible catheter is also provided.

Abstract: Imaging systems and methods estimate poses of a fluoroscopic imaging device, which may be used to reconstruct 3D volumetric data of a target area, based on a sequence of fluoroscopic images of a medical device or points, e.g., radiopaque markers, on the medical device captured by performing a fluoroscopic sweep. The systems and methods may identify and track the points along a length of the medical device appearing in the captured fluoroscopic images. The 3D coordinates of the points may be obtained, for example, from electromagnetic sensors or by performing a structure from motion method on the captured fluoroscopic images. In other aspects, a 3D shape of the catheter is determined, then the angle at which the 3D catheter projects onto the 2D catheter in each captured fluoroscopic image is found.

Abstract: Systems and methods for visualizing navigation of a medical device with respect to a target using a live fluoroscopic view. The methods include determining a level of zoom of a fluoroscope when acquiring a reference frame. The methods further include determining whether the live fluoroscopic images evidence movement of the fluoroscope relative to its position when capturing a reference frame.

Abstract: Devices, systems, methods, and computer-readable media for registering an electromagnetic registration of a luminal network to a 3D model of the luminal network include accessing a 3D model of a luminal network based on computed tomographic (CT) images of the luminal network, selecting a plurality of reference points within the 3D model of the luminal network, obtaining a plurality of survey points within the luminal network, dividing the 3D model of the luminal network and the luminal network into a plurality of regions, assigning a plurality of weights to the plurality of regions, determining an alignment of the plurality of reference points with the plurality of survey points based on the plurality of weights, and generating a registration based on the alignment, the registration enabling conversion of the plurality of survey points within the luminal network to points within the 3D model of the luminal network.

Abstract: Surgical guidance systems and methods visually mark a structure of interest (SOI) of an organ on intraoperative images captured by a locatable imaging device. A location of the SOI relative to a body structure (e.g., a passageway system) associated with the organ is determined in a preoperative image that is captured by a medical diagnostic imaging (MDI) system. The location of the SOI relative to the body structure in the preoperative image is then mapped onto a reconstructed version of the body structure based on location information provided by localization sensors distributed on the body structure. An intraoperative image taken by the locatable imaging device is aligned with the reconstructed version of the body structure and an image object representing the SOI is overlaid on the intraoperative image at a location that is mapped from the reconstructed version of the body structure.

Abstract: A registration method whereby a sensor-based approach is used to establish initial registration and whereby upon the commencement of navigating an endoscope, image-based registration methods are used in order to more accurately maintain the registration between the endoscope location and previously-acquired images. A six-degree-of-freedom location sensor is placed on the probe in order to reduce the number of previously-acquired images that must be compared to a real-time image obtained from the endoscope.

Abstract: A system and method for confirming placement of a biopsy tool in a target including a navigation component to track the position of a catheter navigated into a luminal network, and a catheter configured to receive a biopsy tool. The system and method receive a first plurality of fluoroscopic images, generate a first fluoroscopic three-dimensional reconstruction from the plurality of fluoroscopic images, and present a first slice of the 3D reconstruction depicting the catheter in relation to a target visible in the slice of the 3D reconstruction.

Abstract: A system for navigating to a catheter to a target is disclosed. The system includes a probe and a workstation. The probe is configured to be navigated through a patient's airways and includes a location sensor. The workstation is in operative communication with the probe. The workstation includes a memory and at least one processor. The memory stores a navigation plan and a program that, when executed by the processor, is configured to generate a 3D rendering of the patient's airways, generate a view using the 3D rendering, and display the view featuring at least a portion of the navigation plan. Generating the view includes executing a first transfer function for a first range from a distal tip of the location sensor and executing a second transfer function for a second range from the distal tip of the location sensor.

Abstract: A system and method for constructing fluoroscopic-based three-dimensional volumetric data of a target area within a patient from two-dimensional fluoroscopic images acquired via a fluoroscopic imaging device.

Abstract: Systems and method of planning thoracic surgery. A three-dimensional model is generated to provide greater clarity between lung segments as well as identifying the airways and vasculature supporting the lung segment to enable accurate surgical planning.

Abstract: A system for registering a luminal network to a 3D model of the luminal network includes a computing device configured to identify potential matches in the 3D model with location data of a location sensor, assigning one of the potential matches a registration score based on a deformation model applied to the 3D model, and displaying the potential match having the highest registration score.

Abstract: A method for implementing a dynamic three-dimensional lung map view for navigating a probe inside a patient's lungs includes loading a navigation plan into a navigation system, the navigation plan including a planned pathway shown in a 3D model generated from a plurality of CT images, inserting the probe into a patient's airways, registering a sensed location of the probe with the planned pathway, selecting a target in the navigation plan, presenting a view of the 3D model showing the planned pathway and indicating the sensed location of the probe, navigating the probe through the airways of the patient's lungs toward the target, iteratively adjusting the presented view of the 3D model showing the planned pathway based on the sensed location of the probe, and updating the presented view by removing at least a part of an object forming part of the 3D model.

Abstract: A system and method for enhanced navigation for use during a surgical procedure including planning a navigation path to a target using a first data set of computed tomography images previously acquired; navigating a marker placement device to the target using the navigation path; placing a plurality of markers in tissue proximate the target; acquiring a second data set of computed tomography images including the plurality of markers; planning a second navigation path to a second target using the second data set of computed tomography images; navigating a medical instrument to a second target; capturing fluoroscopic data of tissue proximate the target; and registering the fluoroscopic data to the second data set of computed tomography images based on marker position and orientation within the real-time fluoroscopic data and the second data set of computed tomography images.

Abstract: Imaging systems and methods estimate poses of a fluoroscopic imaging device, which may be used to reconstruct 3D volumetric data of a target area, based on a sequence of fluoroscopic images of a medical device or points, e.g., radiopaque markers, on the medical device captured by performing a fluoroscopic sweep. The systems and methods may identify and track the points along a length of the medical device appearing in the captured fluoroscopic images. The 3D coordinates of the points may be obtained, for example, from electromagnetic sensors or by performing a structure from motion method on the captured fluoroscopic images. In other aspects, a 3D shape of the catheter is determined, then the angle at which the 3D catheter projects onto the 2D catheter in each captured fluoroscopic image is found.

Abstract: A method of performing a surgical procedure includes obtaining images of a patient's anatomy using a cone beam computed tomography machine while the patient is sedated, identifying an area of interest in the images obtained by the cone beam computed tomography machine, identifying a pathway to the identified area of interest using the images obtained by the cone beam computed tomography machine, and navigating a catheter within the patient's airways to the identified area of interest using the identified pathway.

Abstract: A system for navigating to a catheter to a target is disclosed. The system includes a probe and a workstation. The probe is configured to be navigated through a patient's airways and includes a location sensor. The workstation is in operative communication with the probe. The workstation includes a memory and at least one processor. The memory stores a navigation plan and a program that, when executed by the processor, is configured to generate a 3D rendering of the patient's airways, generate a view using the 3D rendering, and display the view featuring at least a portion of the navigation plan. Generating the view includes executing a first transfer function for a first range from a distal tip of the location sensor and executing a second transfer function for a second range from the distal tip of the location sensor.

Abstract: A method and system implementing a method for detecting a catheter in fluoroscopic data and updating a displayed electromagnetic position of the catheter on a 3D rendering is provided including navigating a catheter to a target area and acquiring fluoroscopic data from a fluoroscopic sweep of the target area. An initial catheter detection is performed to detect catheter tip candidates in each 2D frame of the fluoroscopic data using a shallow neural network. A secondary catheter detection is performed to detect catheter tip candidates in each 2D frame of the fluoroscopic data using a deep neural network. False-positive catheter tip candidates are removed by reconstructing a 3D position of the catheter tip and finding an intersecting point of rays corresponding to each 2D frame.

Abstract: A system and method for estimating a pose of an imaging device for one or more images is provided.