Patents by Inventor Nicolas Chesneau

Nicolas Chesneau 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).

  • MRI reconstruction with motion-dependent regularization
    Patent number: 9482732
    Abstract: A method of image reconstruction for a magnetic resonance imaging (MRI) system includes obtaining k-space scan data captured by the MRI system, the k-space scan data being representative of an undersampled region over time, iteratively reconstructing preliminary dynamic images for the undersampled region from the k-space scan data via optimization of a first instance of a minimization problem, the minimization problem including a regularization term weighted by a weighting parameter array, generating a motion determination indicative of an extent to which each location of the undersampled region exhibits motion over time based on the preliminary dynamic images, and iteratively reconstructing motion-compensated dynamic images for the region from the k-space scan data via optimization of a second instance of the minimization problem, the second instance having the weighting parameter array altered as a function of the motion determination.
    Type: Grant
    Filed: October 29, 2013
    Date of Patent: November 1, 2016
    Inventors: Nicolas Chesneau, Nirmal Janardhanan, Jun Liu, Mariappan S. Nadar, Qiu Wang, Zhili Yang
  • MRI RECONSTRUCTION WITH MOTION-DEPENDENT REGULARIZATION
    Publication number: 20140126796
    Abstract: A method of image reconstruction for a magnetic resonance imaging (MRI) system includes obtaining k-space scan data captured by the MRI system, the k-space scan data being representative of an undersampled region over time, iteratively reconstructing preliminary dynamic images for the undersampled region from the k-space scan data via optimization of a first instance of a minimization problem, the minimization problem including a regularization term weighted by a weighting parameter array, generating a motion determination indicative of an extent to which each location of the undersampled region exhibits motion over time based on the preliminary dynamic images, and iteratively reconstructing motion-compensated dynamic images for the region from the k-space scan data via optimization of a second instance of the minimization problem, the second instance having the weighting parameter array altered as a function of the motion determination.
    Type: Application
    Filed: October 29, 2013
    Publication date: May 8, 2014
    Applicant: SIEMENS CORPORATION
    Inventors: Nicolas Chesneau, Nirmal Janardhanan, Jun Liu, Mariappan S. Nadar, Qiu Wang, Zhili Yang