Patents by Inventor Jens Gregor

Jens Gregor 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 neural network based image reconstruction
    Patent number: 11455755
    Abstract: Systems and methods for reconstructing medical images are disclosed. Measurement data, such as sinogram data, is received from an image scanning system. A plurality of masks are applied to corresponding portions of the measurement data to generate a plurality of masked measurement data portions. In some examples, the measurement data is encoded before the plurality of masks are applied. A neural network including a plurality of fully connected layers is applied to the plurality of masked measurement data portions to generate a plurality of image patches. The plurality of image patches are then combined to generate an initial image. In some examples, refinement and scaling operations are applied to the initial image and corresponding attenuation maps to generate a final image. In some examples, the final image is stored in a database. In some examples, the final image is displayed for diagnosis.
    Type: Grant
    Filed: June 25, 2020
    Date of Patent: September 27, 2022
    Assignees: Siemens Medical Solutions USA, Inc., University of Tennessee Research Foundation
    Inventors: William Whiteley, Jens Gregor, Deepak Bharkhada
  • METHODS AND APPARATUS FOR NEURAL NETWORK BASED IMAGE RECONSTRUCTION
    Publication number: 20210074034
    Abstract: Systems and methods for reconstructing medical images are disclosed. Measurement data, such as sinogram data, is received from an image scanning system. A plurality of masks are applied to corresponding portions of the measurement data to generate a plurality of masked measurement data portions. In some examples, the measurement data is encoded before the plurality of masks are applied. A neural network including a plurality of fully connected layers is applied to the plurality of masked measurement data portions to generate a plurality of image patches. The plurality of image patches are then combined to generate an initial image. In some examples, refinement and scaling operations are applied to the initial image and corresponding attenuation maps to generate a final image. In some examples, the final image is stored in a database. In some examples, the final image is displayed for diagnosis.
    Type: Application
    Filed: June 25, 2020
    Publication date: March 11, 2021
    Inventors: William Whiteley, Jens Gregor, Deepak Bharkhada