Abstract: Described herein are systems and methods related to image management. A system may include an instrument that includes an elongate body and an imaging device. The elongate body can be configured to be inserted into a luminal network. The imaging device may be positioned at a distal tip of the elongate body. The system may receive from the imaging device one or more images captured when the elongate body is within the luminal network. For each of the images, the system may determine one or more metrics that are indicative of a reliability of an image for localization of the distal tip of the elongate body within the luminal network. The system may determine a reliability threshold value for each of the one or more metrics. The system can utilize the one or more images based on whether the one or more metrics meet corresponding reliability threshold values.

Abstract: Navigation of an instrument within a luminal network can include image-based airway analysis and mapping. Image-based airway analysis can include detecting one or more airways in an image captured within a luminal network and determining branching information indicative of how the current airway in which the image is captured branches into the detected “child” airways. Image-based airway mapping can include mapping the one or more detected airways to corresponding expected airways of the luminal network in the preoperative model.

Abstract: Navigation of an instrument within a luminal network can include image-based airway analysis and mapping. Image-based airway analysis can include detecting one or more airways in an image captured within a luminal network and determining branching information indicative of how the current airway in which the image is captured branches into the detected “child” airways. Image-based airway mapping can include mapping the one or more detected airways to corresponding expected airways of the luminal network in the preoperative model.

Abstract: Provided are robotic systems and methods for navigation of luminal network that detect physiological noise. In one aspect, the system includes a set of one or more processors configured to receive first and second image data from an image sensor located on an instrument, detect a set of one or more points of interest the first image data, and identify a set of first locations and a set of second location respectively corresponding to the set of points in the first and second image data. The set of processors are further configured to, based on the set of first locations and the set of second locations, detect a change of location of the instrument within a luminal network caused by movement of the luminal network relative to the instrument based on the set of first locations and the set of second locations.

Abstract: A computer implemented method for tracking a site in a series of images, the method comprising identifying a site to be tracked; selecting at least three non-collinear locations distributed around the sire in the reference image; selecting, from the reference image, a region of image data around each of the at least three non collinear locations; comparing each selected region with a second image and, based on these comparisons, identifying for each selected region a corresponding location in the second image, determining a single common affine transformation to map the at least three locations from the reference image onto the corresponding locations in the second image.

Abstract: A computer implemented method for tracking a site in a series of images, the method comprising identifying a site to be tracked; selecting at least three non-collinear locations distributed around the sire in the reference image; selecting, from the reference image, a region of image data around each of the at least three non collinear locations; comparing each selected region with a second image and, based on these comparisons, identifying for each selected region a corresponding location in the second image, determining a single common affine transformation to map the at least three locations from the reference image onto the corresponding locations in the second image.