Patents by Inventor Eva Marjolein Van Rikxoort

Eva Marjolein Van Rikxoort 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).

  • Computer implemented method for estimating lung perfusion from thoracic computed tomography images
    Patent number: 11826189
    Abstract: The present invention relates to a computer implemented method for estimating lung perfusion from CT images, comprising the steps of: providing a CT image of at least a part of the lung, in particular a CT scan taken at inspiration, and more in particular a non-contrast CT scan taken at inspiration; providing the CT image to a trained computer implemented algorithm to estimate lung perfusion based on the CT image, wherein the trained computer implemented algorithm is trained by providing a set of CT images from at least a part of the lung, in particular a CT scan taken at inspiration, and more in particular a non-contrast CT scan taken at inspiration; providing perfusion information corresponding to the CT image; and training the computer implemented algorithm to learn to estimate perfusion in a CT image based on the reference perfusion information provided during training.
    Type: Grant
    Filed: August 27, 2020
    Date of Patent: November 28, 2023
    Assignee: Thirona B.V.
    Inventors: Eva Marjolein Van Rikxoort, Jean-Paul Charbonnier
  • Computer Implemented Method for Estimating Lung Perfusion from Thoracic Computed Tomography Images
    Publication number: 20210059624
    Abstract: The present invention relates to a computer implemented method for estimating lung perfusion from CT images, comprising the steps of: providing a CT image of at least a part of the lung, in particular a CT scan taken at inspiration, and more in particular a non-contrast CT scan taken at inspiration; providing the CT image to a trained computer implemented algorithm to estimate lung perfusion based on the CT image, wherein the trained computer implemented algorithm is trained by providing a set of CT images from at least a part of the lung, in particular a CT scan taken at inspiration, and more in particular a non-contrast CT scan taken at inspiration; providing perfusion information corresponding to the CT image; and training the computer implemented algorithm to learn to estimate perfusion in a CT image based on the reference perfusion information provided during training.
    Type: Application
    Filed: August 27, 2020
    Publication date: March 4, 2021
    Inventors: Eva Marjolein Van Rikxoort, Jean-Paul Charbonnier
  • Lung, lobe, and fissure imaging systems and methods
    Patent number: 9262827
    Abstract: An automated or semi-automated system and methods are disclosed that provide a rapid and repeatable method for identifying lung, lobe, and fissure voxels in CT images, and allowing for quantitative lung assessment and fissure integrity analysis. An automated or semi-automated segmentation and editing system and methods are also disclosed for lung segmentation and identification of lung fissures.
    Type: Grant
    Filed: March 10, 2015
    Date of Patent: February 16, 2016
    Assignee: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
    Inventors: Matthew S. Brown, Pechin Lo, Eva Marjolein Van Rikxoort, Jonathan Gerald Goldin
  • LUNG, LOBE, AND FISSURE IMAGING SYSTEMS AND METHODS
    Publication number: 20150254843
    Abstract: An automated or semi-automated system and methods are disclosed that provide a rapid and repeatable method for identifying lung, lobe, and fissure voxels in CT images, and allowing for quantitative lung assessment and fissure integrity analysis. An automated or semi-automated segmentation and editing system and methods are also disclosed for lung segmentation and identification of lung fissures.
    Type: Application
    Filed: March 10, 2015
    Publication date: September 10, 2015
    Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA
    Inventors: Matthew S. Brown, Pechin Lo, Eva Marjolein Van Rikxoort, Jonathan Gerald Goldin