Patents by Inventor Nicolas Gogin

Nicolas Gogin has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20220346665
    Abstract: Systems and methods are provided for robust intensity ranges for automatic lesion volume measurement. Imaging data obtained during medical imaging examination of a patient may be processed, with the imaging data corresponding to a particular medical imaging technique. One or more parameters pertinent to identifying particular features in at least one organ or body structure may be automatically determined. At least one medical image may be generated and displayed based on processing of the imaging data. The displaying may include identifying, based on the one or more parameters, one or more areas in the at least one organ or body structure and providing within displayed at least one medical image visual feedback relating to the identified one or more areas in the at least one organ or body structure.
    Type: Application
    Filed: May 3, 2021
    Publication date: November 3, 2022
    Inventors: Nicolas Gogin, Adele Courot, Nicolas Coustaud, Sherazade Aknoun
  • Publication number: 20220277834
    Abstract: 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.
    Type: Application
    Filed: February 26, 2021
    Publication date: September 1, 2022
    Inventors: Nicolas Gogin, Jerome Knoplioch
  • Publication number: 20220084198
    Abstract: Methods and systems are provided for detecting coronary lesions in 3D cardiac computed tomography and angiography (CCTA) images using deep neural networks. In an exemplary embodiment, a method for detecting coronary lesions in 3D CCTA images comprises, acquiring a 3D CCTA image of a coronary tree, mapping the 3D CCTA image to a multi-label segmentation map with a trained deep neural network, generating a plurality of 1D parametric curves for a branch of the coronary tree using the multi-label segmentation map, determining a location of a lesion in the branch of the coronary tree using the plurality of 1D parametric curves, and determining a severity score for the lesion based on the plurality of 1D parametric curves.
    Type: Application
    Filed: November 22, 2021
    Publication date: March 17, 2022
    Inventors: Mario Viti, Faycal El Hanchi El Amrani, Nicolas Gogin, Celine Pruvot
  • Patent number: 11227683
    Abstract: Various methods and systems are provided for determining and characterizing features of an anatomical structure from a medical image. In one example, a method comprises acquiring a plurality of medical images over time during an exam, registering the segmented anatomical structure between the plurality of medical images, segmenting an anatomical structure in a one of the plurality of medical images after registering the plurality of medical images, creating and characterizing a reference region of interest (ROI) in each of the plurality of medical images, determining characteristics of the anatomical structure by tracking pixel values of the segmented and registered anatomical structure over time, and outputting the determined characteristics on a display device.
    Type: Grant
    Filed: January 23, 2020
    Date of Patent: January 18, 2022
    Assignee: GE Precision Healthcare LLC
    Inventors: Vincent Jerome Morard, Ronan Quelever, Laura Dumont, Nicolas Gogin, Nicolas Coustaud, Luc Nicodeme
  • Patent number: 11205264
    Abstract: Methods and systems are provided for detecting coronary lesions in 3D cardiac computed tomography and angiography (CCTA) images using deep neural networks. In an exemplary embodiment, a method for detecting coronary lesions in 3D CCTA images comprises, acquiring a 3D CCTA image of a coronary tree, mapping the 3D CCTA image to a multi-label segmentation map with a trained deep neural network, generating a plurality of 1D parametric curves for a branch of the coronary tree using the multi-label segmentation map, determining a location of a lesion in the branch of the coronary tree using the plurality of 1D parametric curves, and determining a severity score for the lesion based on the plurality of 1D parametric curves.
    Type: Grant
    Filed: October 15, 2019
    Date of Patent: December 21, 2021
    Assignee: GE Precision Healthcare LLC
    Inventors: Mario Viti, Faycal El Hanchi El Amrani, Nicolas Gogin, Celine Pruvot
  • Publication number: 20210327105
    Abstract: Apparatus, systems, and methods to generate an edge aware brush for navigation and segmentation of images via a user interface are disclosed. An example processor is to at least: construct a brush for segmentation of image data; provide an interactive representation of the brush with respect to the image data via a user interface, the interactive representation to be displayed and made available for interaction in each of a plurality of viewports provided for display of views of the image data in the user interface; enable update of the viewports based on manipulation of the representation; facilitate display of a preview of a segmentation of the image data corresponding to a location of the representation; and, when the segmentation is confirmed, facilitate generation of an output based on the segmentation.
    Type: Application
    Filed: June 28, 2021
    Publication date: October 21, 2021
    Inventors: Vincent Morard, Terry Gallico, Nicolas Gogin
  • Publication number: 20210233645
    Abstract: Various methods and systems are provided for determining and characterizing features of an anatomical structure from a medical image. In one example, a method comprises acquiring a plurality of medical images over time during an exam, registering the segmented anatomical structure between the plurality of medical images, segmenting an anatomical structure in a one of the plurality of medical images after registering the plurality of medical images, creating and characterizing a reference region of interest (ROI) in each of the plurality of medical images, determining characteristics of the anatomical structure by tracking pixel values of the segmented and registered anatomical structure over time, and outputting the determined characteristics on a display device.
    Type: Application
    Filed: January 23, 2020
    Publication date: July 29, 2021
    Inventors: Vincent Jerome Morard, Ronan Quelever, Laura Dumont, Nicolas Gogin, Nicolas Coustaud, Luc Nicodeme
  • Patent number: 11049289
    Abstract: Apparatus, systems, and methods to generate an edge aware brush for navigation and segmentation of images via a user interface are disclosed. An example processor is to at least: construct a brush for segmentation of image data; provide an interactive representation of the brush with respect to the image data via a user interface, the interactive representation to be displayed and made available for interaction in each of a plurality of viewports provided for display of views of the image data in the user interface; enable update of the viewports based on manipulation of the representation; facilitate display of a preview of a segmentation of the image data corresponding to a location of the representation; and, when the segmentation is confirmed, facilitate generation of an output based on the segmentation.
    Type: Grant
    Filed: January 10, 2019
    Date of Patent: June 29, 2021
    Assignee: General Electric Company
    Inventors: Vincent Morard, Terry Gallico, Nicolas Gogin
  • Publication number: 20210110597
    Abstract: Methods and systems are provided for medical imaging systems. In one embodiment, a method comprises acquiring three-dimensional image data with a three-dimensional imaging modality, generating an image of an anatomical structure within the three-dimensional image data with an angled portion of the anatomical structure rendered as at least partially transparent in the image, and displaying, via a display device, the image to a user. In this way, a three-dimensional anatomical structure, such as a vessel, may be visualized such that a user may view the inner wall without distortion.
    Type: Application
    Filed: October 15, 2019
    Publication date: April 15, 2021
    Inventors: Jerome Knoplioch, Celine Pruvot, Faycal El Hanchi El Amrani, David Rolland, Cyril Cardon, Nicolas Gogin
  • Publication number: 20210110533
    Abstract: Methods and systems are provided for detecting coronary lesions in 3D cardiac computed tomography and angiography (CCTA) images using deep neural networks. In an exemplary embodiment, a method for detecting coronary lesions in 3D CCTA images comprises, acquiring a 3D CCTA image of a coronary tree, mapping the 3D CCTA image to a multi-label segmentation map with a trained deep neural network, generating a plurality of 1D parametric curves for a branch of the coronary tree using the multi-label segmentation map, determining a location of a lesion in the branch of the coronary tree using the plurality of 1D parametric curves, and determining a severity score for the lesion based on the plurality of 1D parametric curves.
    Type: Application
    Filed: October 15, 2019
    Publication date: April 15, 2021
    Inventors: Mario Viti, Faycal El Hanchi El Amrani, Nicolas Gogin, Celine Pruvot
  • Patent number: 10971263
    Abstract: 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.
    Type: Grant
    Filed: September 9, 2019
    Date of Patent: April 6, 2021
    Assignee: General Electric Company
    Inventors: Nicolas Gogin, Jerome Knoplioch
  • Publication number: 20200402236
    Abstract: Methods and apparatus for computer-aided prostate condition diagnosis are disclosed. An example computer-aided prostate condition diagnosis apparatus includes memory to store instructions and a processor. The example processor can detect a lesion from an image of a prostate gland and generate a mapping of the lesion from the image to a sector map, the generating the mapping of the lesion comprising identifying a depth region of the lesion, wherein the depth region indicates a location of the lesion along a depth axis. The processor can also provide the sector map comprising a representation of the lesion within the prostate gland mapped from the image to the sector map.
    Type: Application
    Filed: September 3, 2020
    Publication date: December 24, 2020
    Inventors: Adele Courot, Nicolas Gogin, Baptiste Perrin, Lorraine Jammes, Lucile Nosjean, Melodie Sperandio
  • Publication number: 20200226798
    Abstract: Apparatus, systems, and methods to generate an edge aware brush for navigation and segmentation of images via a user interface are disclosed. An example processor is to at least: construct a brush for segmentation of image data; provide an interactive representation of the brush with respect to the image data via a user interface, the interactive representation to be displayed and made available for interaction in each of a plurality of viewports provided for display of views of the image data in the user interface; enable update of the viewports based on manipulation of the representation; facilitate display of a preview of a segmentation of the image data corresponding to a location of the representation; and, when the segmentation is confirmed, facilitate generation of an output based on the segmentation.
    Type: Application
    Filed: January 10, 2019
    Publication date: July 16, 2020
    Inventors: Vincent Morard, Terry Gallico, Nicolas Gogin
  • Publication number: 20200005930
    Abstract: 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.
    Type: Application
    Filed: September 9, 2019
    Publication date: January 2, 2020
    Inventors: Nicolas Gogin, Jerome Knoplioch
  • Patent number: 10452812
    Abstract: 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.
    Type: Grant
    Filed: August 9, 2016
    Date of Patent: October 22, 2019
    Assignee: GENERAL ELECTRIC COMPANY
    Inventors: Nicolas Gogin, Jerome Knoplioch
  • Publication number: 20180046758
    Abstract: 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.
    Type: Application
    Filed: August 9, 2016
    Publication date: February 15, 2018
    Inventors: Nicolas Gogin, Jerome Knoplioch