Patents by Inventor Maxime Taquet

Maxime Taquet 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).

  • Methods and apparatus for modeling diffusion-weighted MR data acquired at multiple non-zero B-values
    Patent number: 10317498
    Abstract: Methods and apparatus for characterizing biological micro structure in a voxel based, at least in part, on a set of diffusion-weighted magnetic resonance (MR) data. A multi-compartment parametric model is used to predict a diffusion signal for the voxel using information from the set of diffusion-weighted MR data. Predicting the diffusion signal comprises determining, based on the set of diffusion-weighted MR data, a first set of parameters describing isotropic diffusion in a first compartment of the multi-compartment model and a second set of parameters describing anisotropic diffusion due to the presence of at least one white matter fascicle in a second compartment of the multi-compartment model. At least one first dataset of the set of diffusion-weighted MR data is associated with a first non-zero b-value and at least one second dataset of the set of diffusion-weighted MR data is associated with a second non-zero b-value different than the first non-zero b-value.
    Type: Grant
    Filed: September 19, 2014
    Date of Patent: June 11, 2019
    Assignee: Children's Medical Center Corporation
    Inventors: Simon K. Warfield, Benoit Scherrer, Maxime Taquet
  • METHODS AND APPARATUS FOR MODELING DIFFUSION-WEIGHTED MR DATA ACQUIRED AT MULTIPLE NON-ZERO B-VALUES
    Publication number: 20160231410
    Abstract: Methods and apparatus for characterizing biological micro structure in a voxel based, at least in part, on a set of diffusion-weighted magnetic resonance (MR) data. A multi-compartment parametric model is used to predict a diffusion signal for the voxel using information from the set of diffusion-weighted MR data. Predicting the diffusion signal comprises determining, based on the set of diffusion-weighted MR data, a first set of parameters describing isotropic diffusion in a first compartment of the multi-compartment model and a second set of parameters describing anisotropic diffusion due to the presence of at least one white matter fascicle in a second compartment of the multi-compartment model. At least one first dataset of the set of diffusion-weighted MR data is associated with a first non-zero b-value and at least one second dataset of the set of diffusion-weighted MR data is associated with a second non-zero b-value different than the first non-zero b-value.
    Type: Application
    Filed: September 19, 2014
    Publication date: August 11, 2016
    Applicant: Children's Medical Center Corporation
    Inventors: Simon K. Warfield, Benoit Scherrer, Maxime Taquet