Patents by Inventor Julian Hossbach

Julian Hossbach 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).

  • Patent number: 11630177
    Abstract: Systems and Methods that identify the effect of motion during a medical imaging procedure. A neural network is trained to translate motion induced deviations of a coil-mixing matrix relative to a reference acquisition into a motion score. This score can be used for the prospective detection of the most corrupted echo trains for removal or triggering a replacement by reacquisition.
    Type: Grant
    Filed: April 13, 2022
    Date of Patent: April 18, 2023
    Assignees: Siemens Healthcare GmbH, The General Hospital Corporation
    Inventors: Daniel Nicolas Splitthoff, Julian Hossbach, Daniel Polak, Stephen Farman Cauley, Bryan Clifford, Wei-Ching Lo
  • Publication number: 20220342018
    Abstract: Systems and Methods that identify the effect of motion during a medical imaging procedure. A neural network is trained to translate motion induced deviations of a coil-mixing matrix relative to a reference acquisition into a motion score. This score can be used for the prospective detection of the most corrupted echo trains for removal or triggering a replacement by reacquisition.
    Type: Application
    Filed: April 13, 2022
    Publication date: October 27, 2022
    Inventors: Daniel Nicolas Splitthoff, Julian Hossbach, Daniel Polak, Stephen Farman Cauley, Bryan Clifford, Wei-Ching Lo
  • Patent number: 11187769
    Abstract: The disclosure relates to a computer implemented method for magnetic resonance imaging. The method includes: receiving at least a first and a second subset of k-space data as radio frequency signals emitted from excited hydrogen atoms of a subject; sampling the first and second subset of k-space data; choosing the first subset of k-space data as a base subset of k-space data; estimating motion parameters of the second subset of k-space data against the base subset of k-space data; and correcting the second subset of k-space data based on the estimated motion parameters of the second subset of k-space data. The motion parameters of the second subset of k-space data are parameters of a non-linear motion estimating function representing a motion of the subject between receiving the first subset of k-space data and receiving the second subset of k-space data.
    Type: Grant
    Filed: April 17, 2020
    Date of Patent: November 30, 2021
    Assignees: THE GENERAL HOSPITAL CORPORATION, SIEMENS HEALTHCARE GMBH
    Inventors: Daniel Nicolas Splitthoff, Julian Hossbach, Josef Pfeuffer, Stephen Farman Cauley, Melissa Haskell
  • Patent number: 10979697
    Abstract: A method for post processing and displaying a three-dimensional angiography image data set of a blood vessel tree of a patient, wherein two-dimensional display images are rendered from the angiography image data set and displayed, wherein two display images are rendered from the angiography image data set using viewing directions forming an angle suited for stereoscopic perception of the display images and both display images are simultaneously displayed on a display screen in a display presentation that causes each display image to be viewed by one eye of a person viewing the display screen.
    Type: Grant
    Filed: June 13, 2019
    Date of Patent: April 13, 2021
    Assignee: Siemens Healthcare GmbH
    Inventors: Julian Hossbach, Rainer Schneider, Peter Speier
  • Publication number: 20200341101
    Abstract: The disclosure relates to a computer implemented method for magnetic resonance imaging. The method includes: receiving at least a first and a second subset of k-space data as radio frequency signals emitted from excited hydrogen atoms of a subject; sampling the first and second subset of k-space data; choosing the first subset of k-space data as a base subset of k-space data; estimating motion parameters of the second subset of k-space data against the base subset of k-space data; and correcting the second subset of k-space data based on the estimated motion parameters of the second subset of k-space data. The motion parameters of the second subset of k-space data are parameters of a non-linear motion estimating function representing a motion of the subject between receiving the first subset of k-space data and receiving the second subset of k-space data.
    Type: Application
    Filed: April 17, 2020
    Publication date: October 29, 2020
    Inventors: Daniel Nicolas Splitthoff, Julian Hossbach, Josef Pfeuffer, Stephen Farman Cauley, Melissa Haskell
  • Publication number: 20190387217
    Abstract: A method for post processing and displaying a three-dimensional angiography image data set of a blood vessel tree of a patient, wherein two-dimensional display images are rendered from the angiography image data set and displayed, wherein two display images are rendered from the angiography image data set using viewing directions forming an angle suited for stereoscopic perception of the display images and both display images are simultaneously displayed on a display screen in a display presentation that causes each display image to be viewed by one eye of a person viewing the display screen.
    Type: Application
    Filed: June 13, 2019
    Publication date: December 19, 2019
    Applicant: Siemens Healthcare GmbH
    Inventors: Julian Hossbach, Rainer Schneider, Peter Speier