Medtronic Navigation, Inc.

Medtronic Xomed, Inc.

Cleerly, Inc.

Medtronic, Inc.

Shai Ronen

Andrew Wald

Brad Jacobsen

Nikhil Mahendra

Victor D Snyder

Justin Kemp

Jerald Lamont Redmond

Joseph Moctezuma

Craig Drager

Nicholas J Rawluk

Joseph Thomas Cilke

Ishan Ann Tsay

Wei-Shyang Yang

James K Min

Patrick A Helm

Hugo Miguel Rodrigues Marques

James P Earls

Shant Malkasian

Chung Chan

Rowena Vigh

Leo Bredehoft

Andrew Bzostek

Jiashu Li

Andre D A Souza

Hallehsadat Ghaderi

Daniel H Adler

Steven L Hartmann

Yvan Paitel

Ryan D Datteri

Andre DA Souza

Disclosed is a system for assisting in guiding and performing a procedure on a subject. The subject may be any appropriate subject such as inanimate object and/or an animate object. The guide and system may include various manipulable or movable members, such as robotic systems, and may be registered to selected coordinate systems.

System and method for navigation

Systems and methods of facilitating determination of risk of coronary artery disease (CAD) based at least in part on one or more measurements derived from non-invasive medical image analysis. The methods can include accessing a non-invasive generated medical image, identifying one or more arteries, identifying, regions of plaque within an artery, analyzing the regions of plaque to identify low density non-calcified plaque, non-calcified plaque, or calcified plaque based at least in part on density, determining a distance from identified regions of low density non-calcified plaque to one or more of a lumen wall or vessel wall, determining embeddedness of the regions of low density non-calcified plaque by one or more of non-calcified plaque or calcified plaque, determining a shape of the more regions of low density non-calcified plaque, and generating a display of the analysis to facilitate determination of one or more of a risk of CAD of the subject.

Systems, devices, and methods for non-invasive image-based plaque analysis and risk determination

Systems and methods for monitoring one or more anatomical elements are provided. An image depicting one or more anatomical elements and a plurality of annotations may be received. The image may comprise a plurality of image elements. Each annotation may correspond to one of the one or more anatomical elements and may be associated with one of the plurality of image elements. Movement information about movement of at least a portion of a particular anatomical element may be received. Image elements corresponding to the particular anatomical element may be identified to yield a set of image elements. The set of image elements may be adjusted based on the movement information to yield an updated image reflecting changes to affected anatomical elements.

Systems and methods for monitoring one or more anatomical elements

Disclosed is a method to remove distortion from a navigation system. The navigation system may be used to perform a procedure on a subject. The procedure may be any appropriate procedure. The navigation system may be used to account for the distortive effects of various conductive objects positioned near the subject on which the procedure is performed.

Position determination system and method

An image segmentation system and display is disclosed. The system may be operated or configured to generate a segmentation of a member from an image. The image and/or the segmentation may be displayed for viewing by a user.

System and method for imaging

Disclosed is a system and method for segmentation of selected data. In various embodiments, automatic segmentation of fiber tracts in an image data may be performed. The automatic segmentation may allow for identification of specific fiber tracts in an image.

Method and apparatus to classify structures in an image

A system and apparatus is disclosed to automatically determine the identification and selected information relating to instruments. The identification information may be read or determined by various reader systems and then transferred for various purposes. The identification information may be stored on the instrument with a storage system or printing and/or recalled from a memory once the identification is made.

Automatic identification of instruments

An example method includes obtaining an image of a lead implanted in a patient, the lead including one or more electrodes positioned along a longitudinal axis of the lead and a plurality of orientation markers; determining, in the image, respective locations of the electrodes and respective locations of the orientation markers; obtaining a template model corresponding to the lead; determining a transform between the determined locations of the one or more electrodes and the plurality of orientation markers and locations of corresponding electrodes and orientation markers in the template model; and determining the rotational orientation of the lead based on the transform.

Identification of orientation of implanted lead

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Louisville, CO, United States of America

Shai Ronen