Abstract: The disclosure is directed to a method for generating a three dimensional (3D) volume including a treatment target including receiving a plurality of two dimensional (2D) input images of a patient, determining a metal artifact in each of the plurality of 2D input images, removing the metal artifacts from the plurality of 2D input images based on the determination of the metal artifact, and replacing metal artifacts with alternative pixel data to generate a plurality of filtered 2D images. A 3D volume is generated from the plurality of filtered 2D images. The plurality of 2D input images including a treatment target.

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: Systems and methods of estimating movement of anatomical structures of a new patient include learning one or more deformation models from preoperative and intraoperative imaging data of a set of other patients and estimating movement of anatomical structures of the new patient based on the one or more deformation models and preoperative imaging data of the new patient. Estimating movement of the anatomical structures may include applying deformation models to map data derived from preoperative imaging data of a new patient to obtain deformed map data for each deformation model, and determining the deformation model that best fits the intraoperative imaging data of the new patient. Applying a deformation model to map data may include applying a transformation to the deformation model and interpolating to obtain a deformed map data. Registration is computed between locations of a medical device sampled during navigation of the medical device through the new patient and the original and deformed map data.

Abstract: Systems and methods of automatic orientation detection in fluoroscopic images using deep learning enable local registration for correction of initial CT-to-body registration in Electromagnetic Navigation Bronchoscopy (ENB) systems.

Abstract: A system and method of image processing including a processor in communication with a display and a computer readable recording medium having instructions executed by the processor to read an image data set from the memory, segment the image data set, and skeletonize the segmented image data set. The instructions cause the processor to graph the skeletonized image data set, assign a branch identification (ID) for each branch in the graph, and associate each voxel of the segmented image data set with a branch ID. The instructions cause the processor to generate a three-dimensional (3D) mesh model from the graphed skeletonized image data set, associate each vertex of the 3D mesh model with a branch ID; and display in a user interface the 3D mesh model, and an image of the image data set.

Abstract: The disclosure is directed to a method for generating a three dimensional (3D) volume including a treatment target including receiving a plurality of two dimensional (2D) input images of a patient, determining a metal artifact in each of the plurality of 2D input images, removing the metal artifacts from the plurality of 2D input images based on the determination of the metal artifact, and replacing metal artifacts with alternative pixel data to generate a plurality of filtered 2D images. A 3D volume is generated from the plurality of filtered 2D images. The plurality of 2D input images including a treatment target.

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

Abstract: Systems and methods for image-guided medical procedures use fluoroscopic 3D reconstructions to plan and navigate a percutaneously-inserted device such as a biopsy tool from an entry point to a target.

Abstract: Systems and methods for image-guided medical procedures use fluoroscopic 3D reconstructions to plan and navigate a percutaneously-inserted device such as a biopsy tool from an entry point to a target.

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 system and method for registration of a pre-procedural image data set (e.g. CT data) or a 3D model derived therefrom with a patient's luminal structure (e.g., airways in the lungs) using intraprocedural fluoroscopic imaging techniques.

Abstract: The disclosure is directed to a method for generating a three dimensional (3D) volume including a treatment target including receiving a plurality of two dimensional (2D) input images of a patient, determining a metal artifact in each of the plurality of 2D input images, removing the metal artifacts from the plurality of 2D input images based on the determination of the metal artifact, and replacing metal artifacts with alternative pixel data to generate a plurality of filtered 2D images. A 3D volume is generated from the plurality of filtered 2D images. The plurality of 2D input images including a treatment target.

Abstract: A system for facilitating identification and marking of a target in a fluoroscopic image of a body region of a patient, the system comprising one or more storage devices having stored thereon instructions for: receiving a CT scan and a fluoroscopic 3D reconstruction of the body region of the patient, wherein the CT scan includes a marking of the target; and generating at least one virtual fluoroscopy image based on the CT scan of the patient, wherein the virtual fluoroscopy image includes the target and the marking of the target, at least one hardware processor configured to execute these instructions, and a display configured to display to a user the virtual fluoroscopy image and the fluoroscopic 3D reconstruction.

Abstract: A method and system for reducing divergence between computed tomography images and a patient using three-dimensional reconstructions. The method utilizes cone beam imaging or three-dimensional fluoroscopy to supplement or supplant pre-operative computed tomography imaging.

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

Abstract: A system for facilitating identification and marking of a target in a fluoroscopic image of a body region of a patient, the system comprising one or more storage devices having stored thereon instructions for: receiving a CT scan and a fluoroscopic 3D reconstruction of the body region of the patient, wherein the CT scan includes a marking of the target; and generating at least one virtual fluoroscopy image based on the CT scan of the patient, wherein the virtual fluoroscopy image includes the target and the marking of the target, at least one hardware processor configured to execute these instructions, and a display configured to display to a user the virtual fluoroscopy image and the fluoroscopic 3D reconstruction.

Abstract: A system and method of pose estimation to enable generation of high-quality 3D reconstruction volumes and fluoroscopic computed tomography images for the identification of small and ground glass lesions.

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 facilitating identification and marking of a target in a fluoroscopic image of a body region of a patient, the system comprising one or more storage devices having stored thereon instructions for: receiving a CT scan and a fluoroscopic 3D reconstruction of the body region of the patient, wherein the CT scan includes a marking of the target; and generating at least one virtual fluoroscopy image based on the CT scan of the patient, wherein the virtual fluoroscopy image includes the target and the marking of the target, at least one hardware processor configured to execute these instructions, and a display configured to display to a user the virtual fluoroscopy image and the fluoroscopic 3D reconstruction.

Abstract: Systems and methods for visualizing navigation of a medical device with respect to a target using a live fluoroscopic view. The methods include displaying, in a screen, a three-dimensional (3D) view of a 3D model of a target from the perspective of a medical device tip. The methods also include displaying, in the screen, a live two-dimensional (2D) fluoroscopic view showing a medical device, and displaying a target mark, which corresponds to the 3D model of the target, overlaid on the live 2D fluoroscopic view. The methods may include determining whether the medical device tip is aligned with the target, displaying the target mark in a first color if the medical device tip is aligned with the target, and displaying the target mark in second color different from the first color if the medical device tip is not aligned with the target.