Patents by Inventor Bernar VAN BEERS

Bernar VAN BEERS 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).

  • Method for post-processing magnetic resonance imaging images in a clinical context
    Patent number: 10251599
    Abstract: A method for post-processing images of a region of interest in a subject, the images being acquired with a magnetic resonance imaging technique, the method for post-processing comprising at least the step of: unwrapping the phase of each image, extracting a real signal over echo time for at least one pixel of the unwrapped images, and calculating fat characterization parameters by using a fitting technique applied on a model, the model being a function which associates to a plurality of parameters each extracted real signal, the plurality of parameters comprising at least two fat characterization parameters and at least one parameter obtained by a measurement, the fitting technique being a non-linear least-square fitting technique using pseudo-random initial conditions.
    Type: Grant
    Filed: April 24, 2015
    Date of Patent: April 9, 2019
    Assignees: INSERM(INSTITUT NATIONAL DE LA SANTÉET DE LA RECHERCHE MÉDICALE), UNIVERSITE PARIS DIDEROT- PARIS 7
    Inventors: Benjamin Leporq, Simon Lambert, Bernar Van Beers
  • METHOD FOR POST-PROCESSING MAGNETIC RESONANCE IMAGING IMAGES IN A CLINICAL CONTEXT
    Publication number: 20160310035
    Abstract: A method for post-processing images of a region of interest in a subject, the images being acquired with a magnetic resonance imaging technique, the method for post-processing comprising at least the step of: unwrapping the phase of each image, extracting a real signal over echo time for at least one pixel of the unwrapped images, and calculating fat characterization parameters by using a fitting technique applied on a model, the model being a function which associates to a plurality of parameters each extracted real signal, the plurality of parameters comprising at least two fat characterization parameters and at least one parameter obtained by a measurement, the fitting technique being a non-linear least-square fitting technique using pseudo-random initial conditions.
    Type: Application
    Filed: April 24, 2015
    Publication date: October 27, 2016
    Inventors: Benjamin LEPORQ, Simon LAMBERT, Bernar VAN BEERS