Patents by Inventor Tobias Würfl

Tobias Würfl 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: 10977839
    Abstract: A method for determining assignment data is carried out in a method for determining a geometry calibration. The 3D calibration phantom features a calibration object with a number of calibration elements, which are arranged so that a descriptor based on the spatial arrangement is projectively invariant. Based upon the descriptor the calibration elements mapped in the 2D transmission element can be assigned to the calibration elements of the calibration object, so that the geometry calibration is determined on the basis of this assignment and the arrangement of the calibration elements in the three-dimensional space as well as on the 2D image.
    Type: Grant
    Filed: May 9, 2019
    Date of Patent: April 13, 2021
    Assignee: SIEMENS HEALTHCARE GMBH
    Inventors: Andre Aichert, Andreas Maier, Tobias Wuerfl
  • Publication number: 20190355156
    Abstract: A method for determining assignment data is carried out in a method for determining a geometry calibration. The 3D calibration phantom features a calibration object with a number of calibration elements, which are arranged so that a descriptor based on the spatial arrangement is projectively invariant. Based upon the descriptor the calibration elements mapped in the 2D transmission element can be assigned to the calibration elements of the calibration object, so that the geometry calibration is determined on the basis of this assignment and the arrangement of the calibration elements in the three-dimensional space as well as on the 2D image.
    Type: Application
    Filed: May 9, 2019
    Publication date: November 21, 2019
    Applicant: Siemens Healthcare GmbH
    Inventors: Andre Aichert, Andreas Maier, Tobias Wuerfl
  • Patent number: 10194884
    Abstract: A method for reducing image artifacts caused, for example, by beam hardening includes acquiring at least two projections of a transirradiated object are acquired from different perspectives by an X-ray emitter and an X-ray detector defining a projection plane. A correction model that is linear in parameters and is valid for the at least two projections is determined. At least two epipolar lines corresponding to a common epipolar plane are identified in the projection planes of the at least two projections. The parameters of the correction model are determined by optimization, taking account of data terms that are independent of the parameters. The data terms quantify a consistency condition of the at least two projections that applies to the epipolar lines. Artifact-reduced image data is determined based on the determined parameters.
    Type: Grant
    Filed: January 10, 2018
    Date of Patent: February 5, 2019
    Assignee: Siemens Healthcare GmbH
    Inventors: Nicole Maaß, Andreas Maier, Tobias Würfl
  • Publication number: 20180192985
    Abstract: A method for reducing image artifacts caused, for example, by beam hardening includes acquiring at least two projections of a transirradiated object are acquired from different perspectives by an X-ray emitter and an X-ray detector defining a projection plane. A correction model that is linear in parameters and is valid for the at least two projections is determined. At least two epipolar lines corresponding to a common epipolar plane are identified in the projection planes of the at least two projections. The parameters of the correction model are determined by optimization, taking account of data terms that are independent of the parameters. The data terms quantify a consistency condition of the at least two projections that applies to the epipolar lines. Artifact-reduced image data is determined based on the determined parameters.
    Type: Application
    Filed: January 10, 2018
    Publication date: July 12, 2018
    Inventors: Nicole Maass, Andreas Maier, Tobias Würfl