Abstract: A method for analyzing an anatomical structure of a patient may include the steps of receiving volumetric scan data representative of one or more features of an anatomical structure; mapping the features to a node tree diagram; and displaying the node tree diagram. The features can comprise branching points, pathways connecting the branching points, and location data of the branching points and pathways. The node tree diagram may comprise a plurality of nodes and branches representing the branching points and pathways in the anatomical structure, respectively. The plurality of nodes may comprise a root node representing a root branching point as well as additional nodes representing additional branching points. Additionally, the node tree diagram may comprise a first set of one or more regions, wherein each region encompasses a respective portion of the node tree diagram and is representative of a defined portion of the anatomical structure.

Abstract: Systems and methods for displaying a predicted outcome of a lung volume reduction procedure for a patient including a user interface, a processor, and programing operable on the processor for displaying a predicted outcome of the bronchoscopic lung volume reduction procedure on the user interface, wherein displaying the predicted outcome of the lung volume reduction procedure includes receiving patient data comprising volumetric images of the patient, analyzing the volumetric images to identify one or more features correlated to treatment outcome prediction, predicting an outcome for a treatment modality or treatment device using the one or more identified features, and displaying the predicted outcome on the user interface.

Abstract: A method for visualizing a tubular object from a set of volumetric data may include the steps of: determining a viewing direction for the tubular object; selecting a constraint subset of the tubular object within the volumetric data; defining a cut-surface through the volumetric data and including the constraint subset of the tubular object within the volumetric data; and rendering an image based upon the determined viewing direction and the volumetric data of the tubular object along the intersection of the volumetric data and the defined cut-surface. Additionally or alternatively, the method may identify a plurality of bifurcations in the tubular object; assign a weighting factor to each identified bifurcation; determine a bifurcation normal vector associated with each bifurcation; determine a weighted average of the bifurcation normal vectors; and render an image of the volumetric data from a perspective parallel to the weighted average of the bifurcation normal vectors.

Abstract: Methods and systems for assessing lung function using volumetric images obtained at inspiration and expiration. The method may include processing the first and second set of images to identify known anatomical structures of the lungs, registering the first set of images to the second set of images to match voxels of the first set of images to voxels of the second set of images as matched pairs of inspiratory and expiratory voxels, calculating a continuous probability of a lung characteristic at a location of the matched pairs of voxels, and displaying the result on a display. The method may also include classifying lung tissue at each location as normal, having air trapping without emphysema, or being emphysematous.

Abstract: Systems and methods for displaying a predicted outcome of a lung volume reduction procedure for a patient including a user interface, a processor, and programing operable on the processor for displaying a predicted outcome of the bronchoscopic lung volume reduction procedure on the user interface, wherein displaying the predicted outcome of the lung volume reduction procedure includes receiving patient data comprising volumetric images of the patient, analyzing the volumetric images to identify one or more features correlated to treatment outcome prediction, predicting an outcome for a treatment modality or treatment device using the one or more identified features, and displaying the predicted outcome on the user interface.

Abstract: Analysis of pulmonary scans representative of a patient's pulmonary structure can be used to classify a patient into one or more of a plurality of populations. The patient's scan can be mapped to a reference domain and analyzed to determine one or more fissure features associated with a plurality of regions in the reference domain. Comparison of the determined fissure features with a plurality of fissure atlases, each associated with different population, can be performed to classify the patient into one or more of the populations. Data from different fissure atlases can be compared to determine regions in the fissure atlases that distinguish one population from another. Such distinguishing regions can improve the ability to classify the patient while reducing errors based on false classifications.

Abstract: Methods and systems for assessing lung function using volumetric images obtained at inspiration and expiration. The method may include processing the first and second set of images to identify known anatomical structures of the lungs, registering the first set of images to the second set of images to match voxels of the first set of images to voxels of the second set of images as matched pairs of inspiratory and expiratory voxels, calculating a continuous probability of a lung characteristic at a location of the matched pairs of voxels, and displaying the result on a display. The method may also include classifying lung tissue at each location as normal, having air trapping without emphysema, or being emphysematous.

Abstract: Systems and methods for displaying a predicted outcome of a lung volume reduction procedure for a patient including a user interface, a processor, and programing operable on the processor for displaying a predicted outcome of the bronchoscopic lung volume reduction procedure on the user interface, wherein displaying the predicted outcome of the lung volume reduction procedure includes receiving patient data comprising volumetric images of the patient, analyzing the volumetric images to identify one or more features correlated to treatment outcome prediction, predicting an outcome for a treatment modality or treatment device using the one or more identified features, and displaying the predicted outcome on the user interface.

Abstract: Systems and methods for visualizing pulmonary fissures including a processor and software instructions for creating a 3 dimensional model of the fissures. Creating the 3 dimensional model includes accessing volumetric imaging data of the patient's lungs, analyzing the volumetric imaging data to segment the lungs into lobes, using the segmented lobes to identify locations at which pulmonary fissures should be present where the lobes abut each other, analyzing the volumetric images to identify locations at which pulmonary fissures actually are present as existing fissure, comparing the locations at which pulmonary fissures should be present to the locations at which pulmonary fissures are present to identify locations of missing fissure, and creating a visual display comprising a 3 dimensional model of the pulmonary fissures including existing fissure portions and missing fissure portions, with the existing fissure portion visually distinct from the missing fissure portions.

Abstract: Systems and methods for visualizing pulmonary fissures including a processor and software instructions for creating a 3 dimensional model of the fissures. Creating the 3 dimensional model includes accessing volumetric imaging data of the patient's lungs, analyzing the volumetric imaging data to segment the lungs into lobes, using the segmented lobes to identify locations at which pulmonary fissures should be present where the lobes abut each other, analyzing the volumetric images to identify locations at which pulmonary fissures actually are present as existing fissure, comparing the locations at which pulmonary fissures should be present to the locations at which pulmonary fissures are present to identify locations of missing fissure, and creating a visual display comprising a 3 dimensional model of the pulmonary fissures including existing fissure portions and missing fissure portions, with the existing fissure portion visually distinct from the missing fissure portions.

Abstract: Methods and systems for planning a bronchoscopic lung volume reduction procedure, such as placement of a one-way valve or biosealant or energy delivery in a patient's lungs. The system may include a processor and programming operable on the processor for planning the lung volume reduction procedure. Planning the lung volume reduction procedure by the processor may include receiving patient volumetric images, analyzing the images to identify the lobes and airway tree of the lungs, displaying a three dimensional model of the lungs, generating and displaying a suggested treatment volume on the three dimensional model, receiving a selected treatment volume from a user, generating and displaying a suggested treatment location within the airway tree, receiving a selected treatment location within the airway tree from the user, receiving a selected treatment modality from the user, and displaying a treatment plan.

Abstract: Systems and methods for visualizing pulmonary fissures including a processor and software instructions for creating a 3 dimensional model of the fissures. Creating the 3 dimensional model includes accessing volumetric imaging data of the patient's lungs, analyzing the volumetric imaging data to segment the lungs into lobes, using the segmented lobes to identify locations at which pulmonary fissures should be present where the lobes abut each other, analyzing the volumetric images to identify locations at which pulmonary fissures actually are present as existing fissure, comparing the locations at which pulmonary fissures should be present to the locations at which pulmonary fissures are present to identify locations of missing fissure, and creating a visual display comprising a 3 dimensional model of the pulmonary fissures including existing fissure portions and missing fissure portions, with the existing fissure portion visually distinct from the missing fissure portions.

Abstract: A system and method for navigating a medical instrument in a branched structure of a body employs a tracking system, for collecting positional information for the medical instrument, and data, which defines a geometrical model of the branched structure, in particular, coordinates for predetermined points defining a pathway extending along branches of the model. Coordinates are identified for each Euclidean distance of the instrument, from an anchor point of a coordinate system for the tracking system, that corresponds to a Euclidean distance of a designated point, of the predetermined points, from a reference point of a coordinate system for the model, wherein the anchor point of the tracking coordinate system has been established to correspond to the reference point of the model coordinate system. The two coordinate systems are registered to one another using the identified coordinates of the instrument and the corresponding coordinates of each designated point.

Abstract: A system and method for navigating a medical instrument in a branched structure of a body employs a tracking system, for collecting positional information for the medical instrument, and data, which defines a geometrical model of the branched structure, in particular, coordinates for predetermined points defining a pathway extending along branches of the model. Coordinates are identified for each Euclidean distance of the instrument, from an anchor point of a coordinate system for the tracking system, that corresponds to a Euclidean distance of a designated point, of the predetermined points, from a reference point of a coordinate system for the model, wherein the anchor point of the tracking coordinate system has been established to correspond to the reference point of the model coordinate system. The two coordinate systems are registered to one another via a mathematical transformation using the identified coordinates of the instrument and the corresponding coordinates of each designated point.

Abstract: Methods and systems for displaying a volumetric model of a patient's lung including sublobar regions. The system may include a processor and software operable on the processor to receive data from multi-dimensional images of the patient's lungs, such as CT images, and produce data for creation of a volumetric model of the patient's lungs, including sublobar regions, on a graphical user interface. The system may also display the multi-dimensional images on the graphical user interface. A user may select an airway location in the airways on the volumetric model or a multi-dimensional image on the graphical user interface and the portion of the lung distal to the selected location, which may be a sublobe, may be highlighted and/or characterized by the system.

Abstract: A system and method for navigating a medical instrument in a branched structure of a body employs a tracking system, for collecting positional information for the medical instrument, and data, which defines a geometrical model of the branched structure, in particular, coordinates for predetermined points defining a pathway extending along branches of the model. Coordinates are identified for each Euclidean distance of the instrument, from an anchor point of a coordinate system for the tracking system, that corresponds to a Euclidean distance of a designated point, of the predetermined points, from a reference point of a coordinate system for the model, wherein the anchor point of the tracking coordinate system has been established to correspond to the reference point of the model coordinate system. The two coordinate systems are registered to one another using the identified coordinates of the instrument and the corresponding coordinates of each designated point.

Abstract: A system and method for navigating a medical instrument in a branched structure of a body employs a tracking system, for collecting positional information for the medical instrument, and data, which defines a geometrical model of the branched structure, in particular, coordinates for predetermined points defining a pathway extending along branches of the model. Coordinates are identified for each Euclidean distance of the instrument, from an anchor point of a coordinate system for the tracking system, that corresponds to a Euclidean distance of a designated point, of the predetermined points, from a reference point of a coordinate system for the model, wherein the anchor point of the tracking coordinate system has been established to correspond to the reference point of the model coordinate system. The two coordinate systems are registered to one another via a mathematical transformation using the identified coordinates of the instrument and the corresponding coordinates of each designated point.