Covidien LP

Coviden LP

Evgeni Kopel

Oren P Weingarten

Ariel Birenbaum

Guy Alexandroni

Nicolas J Merlet

Alexander Y Nepomniashchy

Scott J Prior

William J Peine

Anthony B Ross

Ron Barak

Scott E M Frushour

Eyal Klein

John W Komp

Benjamin Greenburg

Elad D Lachmanovich

Chad A Pickering

Dafna Mardix

Arvind Rajagopalan Mohan

Efrat Kedmi-Shahar

Israel Kehat

Scott EM Frushour

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.

Systems and methods for pose estimation of a fluoroscopic imaging device and for three-dimensional imaging of body structures

Endoluminal robotic systems and corresponding methods include subsystems for visualization, navigation, pressure sensing, platform compatibility, and user interfaces. The user interfaces may be implemented by one or more of a console, haptics, image fusion, voice controls, remote support, and multi-system controls.

Endoluminal robotic (ELR) systems and methods

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.

Systems and methods for providing surgical guidance

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.

Deformable registration of computer-generated airway models to airway trees

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.

Cone beam computed tomography integration for creating a navigation pathway to a target in the lung and method of navigating to the target

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.

Cone beam and 3D fluoroscope lung navigation

A method and system for facilitating identification and marking of a target in a displayed Fluoroscopic Three-Dimensional Reconstruction (F3DR) of a body region of a patient. The system includes a display and a storage device storing instructions for receiving an initial selection of the target in the F3DR, fining the F3DR based on the initial selection of the target, displaying the fined F3DR on the display, and receiving a final selection of the target in the fined F3DR via a user selection. The system further includes at least one hardware processor configured to execute said instructions. The method and instructions may also include receiving a selection of a medical device in two two-dimensional fluoroscopic images, where the medical device is located in an area of the target, and initially fining the F3DR based on the selection of the medical device.

System and method for identifying and marking a target in a fluoroscopic three-dimensional reconstruction

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.

Systems and methods of fluoro-CT imaging for initial registration

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. The map data which fits the 3D locations the best is applied to the targets of the new patient.

Growing community of inventors

Barkan, Israel

Evgeni Kopel