Patents by Inventor Maria Altbach

Maria Altbach 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).

  • System and method for image processing with highly undersampled imaging data
    Patent number: 10782373
    Abstract: A system and method for processing highly undersampled multi-echo spin-echo data by linearizing the slice-resolved extended phase graph model generates highly accurate T2 maps with indirect echo compensation. Principal components are used to linearize the signal model to estimate the T2 decay curves which can be fitted to the slice-resolved model for T2 estimation. In another example of image processing for highly undersampled data, a joint bi-exponential fitting process can compensate for image variations within a voxel and thus provide partial voxel compensation to produce more accurate T2 maps.
    Type: Grant
    Filed: August 2, 2019
    Date of Patent: September 22, 2020
    Assignee: The Arizona Board of Regents on Behalf of the University of Arizona
    Inventors: Maria Altbach, Ali Bilgin, Chuan Huang, Christian Graff
  • SYSTEM AND METHOD FOR IMAGE PROCESSING WITH HIGHLY UNDERSAMPLED IMAGING DATA
    Publication number: 20190353733
    Abstract: A system and method for processing highly undersampled multi-echo spin-echo data by linearizing the slice-resolved extended phase graph model generates highly accurate T2 maps with indirect echo compensation. Principal components are used to linearize the signal model to estimate the T2 decay curves which can be fitted to the slice-resolved model for T2 estimation. In another example of image processing for highly undersampled data, a joint bi-exponential fitting process can compensate for image variations within a voxel and thus provide partial voxel compensation to produce more accurate T2 maps.
    Type: Application
    Filed: August 2, 2019
    Publication date: November 21, 2019
    Inventors: Maria Altbach, Ali Bilgin, Chuan Huang, Christian Graff
  • System and method for image processing with highly undersampled imaging data
    Patent number: 10393839
    Abstract: A system and method for processing highly undersampled multi-echo spin-echo data by linearizing the slice-resolved extended phase graph model generates highly accurate T2 maps with indirect echo compensation. Principal components are used to linearize the signal model to estimate the T2 decay curves which can be fitted to the slice-resolved model for T2 estimation. In another example of image processing for highly undersampled data, a joint bi-exponential fitting process can compensate for image variations within a voxel and thus provide partial voxel compensation to produce more accurate T2 maps.
    Type: Grant
    Filed: February 1, 2013
    Date of Patent: August 27, 2019
    Assignee: Arizona Board of Regents on Behalf of the University of Arizona
    Inventors: Maria Altbach, Ali Bilgin, Chuan Huang, Christian Graff
  • SYSTEM AND METHOD FOR IMAGE PROCESSING WITH HIGHLY UNDERSAMPLED IMAGING DATA
    Publication number: 20150006114
    Abstract: A system and method for processing highly undersampled multi-echo spin-echo data by linearizing the slice-resolved extended phase graph model generates highly accurate T2 maps with indirect echo compensation. Principal components are used to linearize the signal model to estimate the T2 decay curves which can be fitted to the slice-resolved model for T2 estimation. In another example of image processing for highly undersampled data, a joint bi-exponential fitting process can compensate for image variations within a voxel and thus provide partial voxel compensation to produce more accurate T2 maps.
    Type: Application
    Filed: February 1, 2013
    Publication date: January 1, 2015
    Inventors: Maria Altbach, Ali Bilgin, Chuan Huang, Christian G. Graff