Patents by Inventor Steffen Bollman

Steffen Bollman 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).

  • Training a multi-stage network to reconstruct MR images
    Patent number: 11720794
    Abstract: A system and method include generation of modified imaging data and modified acquisition parameters of a training example based on the target imaging data and target acquisition parameters of each of a plurality of target examples, and generation, for each training example, of an initial reconstructed image based on the modified imaging data and modified acquisition parameters of the training example. A first network stage of a multi-stage network is trained based on the modified imaging data, modified acquisition parameters and initial reconstructed image of each training example, a first output image is generated for each training example by inputting the modified imaging data, modified acquisition parameters and initial reconstructed image of the training example to the trained first network stage, and a second network stage of the multi-stage network is trained based on the modified imaging data, modified acquisition parameters and first output image of each training example.
    Type: Grant
    Filed: February 18, 2021
    Date of Patent: August 8, 2023
    Assignees: Siemens Healthcare GmbH, The General Hospital Corporation
    Inventors: Bryan Clifford, Thorsten Feiweier, Steffen Bollman, Stephen Farman Cauley
  • TRAINING A MULTI-STAGE NETWORK TO RECONSTRUCT MR IMAGES
    Publication number: 20220261629
    Abstract: A system and method include generation of modified imaging data and modified acquisition parameters of a training example based on the target imaging data and target acquisition parameters of each of a plurality of target examples, and generation, for each training example, of an initial reconstructed image based on the modified imaging data and modified acquisition parameters of the training example. A first network stage of a multi-stage network is trained based on the modified imaging data, modified acquisition parameters and initial reconstructed image of each training example, a first output image is generated for each training example by inputting the modified imaging data, modified acquisition parameters and initial reconstructed image of the training example to the trained first network stage, and a second network stage of the multi-stage network is trained based on the modified imaging data, modified acquisition parameters and first output image of each training example.
    Type: Application
    Filed: February 18, 2021
    Publication date: August 18, 2022
    Inventors: Bryan Clifford, Thorsten Feiweier, Steffen Bollman, Stephen Farman Cauley