General Electric Company

Ge Medical Systems Global Technology Company, LLC

Ge Precision Healthcare LLC

G.e. Medical Systems, S.a.

Jasbir S. Sra

Jerome F Knoplioch

Saad Ahmed Sirohey

Laurent Launay

Renaud Capolunghi

Fabienne Betting

Gilles Roland Moris

Gopal Biligeri Avinash

Darin Robert Okerlund

Nicolas Gogin

Rahul Bhotika

Antoine Aliotti

Jiang Hsieh

Peter Michael Edic

Robert F Senzig

Sandeep Dutta

Paul Edgar Licato

Giridhar Jothiprasad

Steven James Gray

John Irvin Jackson

Bijan Dorri

Ludovic Avot

Matthieu Denis Ferrant

Yaseen Samara

Ravikanth Avancha

William M Stoval

Neil Dominic D'Souza

David W Kurzynski

Greg J Angst

Toshihiro Rifu

James Donald Markvicka

Sean O'Connor

Justin Wright

Nicolas Coustaud

Adeline Digard

Gilles R R Moris

Yannick LeBerre

Jean-Marc Treutenaere

Yves Lucien Trousset

Jasbir Sra

Yasuhiro Imai

Mark Edward Woodford

Hui David He

Paulo Ricardo Dos Santos Mendonca

Matthew William Turek

Vincent Jerome Morard

Pascal Allain

Beth Ann Heckel

Frank Owen

Maria-Magdalena Nay

Bob L Beckett

Eric Pichon

Sankar V Srinivas

Robert James Young

Sylvie Jacquot-Ingles

DeAnn Haas

Eric Stefani

Thomas Deschamps

Wassila Imambaccus

Benoit Doreau

Diana Paiva Moreira Batista

Guy-Michel Hourdin

Alexis Vapillon

Jean Labarre

Cedric Hermel

Rahul Choudhury

Sine Rosalina Woye

Cathleen Cooper

Pál Csongor Sprencz

A 3D segmentation editing system accurately updates the segmentations of non-edited images of a 3D scan to reflect segmentation edits applied to other images of the scan using localized interpolation. In one or more embodiments, rather than replacing the entireties of the initial segmentations of non-edited images with newly generated, globally interpolated segmentations, the segmentation editing system applies a distance-based criterion to the interpolation of segmentation edits, such that only portions of the segmentations of the non-edited images that correspond to areas that were manually annotated in the edited images will be modified by the interpolation process, and the initial segmentations will be maintained outside of those edited areas. In this way, the system merges the interpolated segmentation with the initial segmentation for each non-edited image in a manner that mitigates unreliable modifications to the initial segmentations in areas far from the edited areas.

Interactive 3D annotation tool with slice interpolation

Methods and systems are disclosed for providing automated assistance to a user of a software application on a computing device. In one example, a method comprises, during operation of a software application running on a computing device by a user, the user prompted to select an option of a plurality of options of the software application at a step of the operation: predicting, via an automated assistance service running on the computing device, one or more preferred options of a plurality of options of the software application based on administrative guidelines, best practices, and previous selections made by the user, peers of the user, and other local users; displaying the one or more preferred options on a display device of the software application; receiving a selection of a most suitable option of the one or more preferred options from the user; and applying the selected option in the software application.

Methods and systems for workflow automation

Systems and methods are provided for utilizing histogram views for improved visualization of three-dimensional (3D) medical images. Imaging data obtained during medical imaging examination of a patient may be processed, with the imaging data corresponding to a particular medical imaging technique. At least one medical image may be generated based on processing of the imaging data. Histogram data may be generated based on the at least one medical image. At least one histogram may be displayed along with the at least one medical image or a projection of the at least one medical image, with the at least one histogram including or being is based on the histogram data, and with the at least one histogram being displayed next to and aligned with the at least one medical image or the projection of the at least one medical image.

Methods and systems for utilizing histogram views for improved visualization of three-dimensional (3D) medical images

Apparatus, systems, and methods to process an interior region of interest in an anatomy image via a user interface are disclosed. An example apparatus is to at least: process an image to reduce noise in the image; identify at least one of an organ of interest or a region of interest in the image; analyze values in at least one of the organ of interest or the region of interest; process the at least one of the organ of interest or the region of interest based on the analyzed values to provide a processed object in the at least one of the organ of interest or the region of interest; and display the processed object for interaction via an interface, the display to include exposing at least one of the organ of interest or the region of interest.

Systems and methods to facilitate review of liver tumor cases

Methods, apparatus, systems and articles of manufacture are disclosed to enable medical image visualization and interaction in a virtual environment. An example apparatus includes at least one processor and at least one memory including instructions. The instructions, when executed, cause the at least one processor to at least: generate a virtual environment for display of image content via a virtual reality display device; enable interaction with the image content in the virtual environment via an avatar; adjust the image content in the virtual environment based on the interaction; and generate an output of image content from the virtual environment.

Overlay and manipulation of medical images in a virtual environment

Various methods and systems are provided for suggesting annotation shapes to be applied to a medical image. In one example, a method includes outputting, for display on a display device, a set of annotation icons from an icon library based on a current image displayed on the display device and displaying an annotation on the current image in response to selection of an annotation icon from the set. The method further includes automatically adjusting the annotation to a corresponding anatomical feature in the current image and saving the current image with the annotation.

Methods and systems for a medical image annotation tool

A system and method for estimating vascular flow using CT imaging include a computer readable storage medium having stored thereon a computer program comprising instructions, which, when executed by a computer, cause the computer to acquire a first set of data comprising anatomical information of an imaging subject, the anatomical information comprises information of at least one vessel. The instructions further cause the computer to process the anatomical information to generate an image volume comprising the at least one vessel, generate hemodynamic information based on the image volume, and acquire a second set of data of the imaging subject. The computer is also caused to generate an image comprising the hemodynamic information in combination with a visualization based on the second set of data.

System and method for estimating vascular flow using CT imaging

Methods, apparatus, systems and articles of manufacture are disclosed to enable medical image visualization and interaction in a virtual environment. An example apparatus includes at least one processor and at least one memory including instructions. The instructions, when executed, cause the at least one processor to at least: generate a virtual environment for display of image content via a virtual reality display device, the image content to include a two-dimensional image overlaid on a three-dimensional volume; enable interaction with the image content in the virtual environment via an avatar, movement of the avatar to be correlated with an external input; adjust the image content in the virtual environment based on the interaction; and generate an output of image content from the virtual environment.

Methods and apparatus for recording anonymized volumetric data from medical image visualization software are disclosed. An example apparatus includes an image anonymizer to anonymize a medical image outside of a region of interest based on an extraction parameter by degrading the medical image outside a region corresponding to the region of interest and maintaining a resolution of the medical image inside the region corresponding to the region of interest, the extraction parameter based on at least one of an image capture parameter or an instruction from a remote system; and an archive generator to generate a compressed local archive based on the anonymized medical image.

Methods and apparatus for recording anonymized volumetric data from medical image visualization software

Example systems, methods and computer program products for cloud-based, anatomy-specific identification, processing and routing of image data in a cloud infrastructure are disclosed. An example method includes evaluating, automatically by a particularly programmed processor in a cloud infrastructure, image data to identify an anatomy in the image data. The example method includes processing, automatically by the processor, the image data based on a processing algorithm determined by the processor based on the anatomy identified in the image data. The example method also includes routing, automatically by the processor, the image data to a data consumer based on a routing strategy determined by the processor based on the anatomy identified in the image data. The example method includes generating, automatically by the processor based on the processing and routing, at least one of a push of the image data and a notification of availability of the image data.

Automated cloud image processing and routing

Methods and apparatus for recording anonymized volumetric data from medical image visualization software are disclosed. An example method includes receiving a medical image; anonymizing the medical image outside of a region of interest by degrading the medical image outside a region corresponding to the region of interest and maintaining the resolution of the medical image inside the region corresponding to the region of interest; extracting data from the medical image; and generating an archive based on the anonymized medical image and the data.

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Nueilly sur Seine, France

Jerome F Knoplioch