Patents by Inventor Jan-Nico ZAECH

Jan-Nico ZAECH 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).

  • Machine learning model to adjust C-arm cone-beam computed tomography device trajectories
    Patent number: 12268533
    Abstract: A device may receive an X-ray image captured by a C-arm CBCT device at a particular position defined by a six-degree of freedom pose relative to an anatomy, and may process the X-ray image, with a machine learning model, to determine a predicted quality of next possible X-ray images provided by the C-arm CBCT device. The device may utilize the machine learning model, to identify a particular X-ray image, of the next possible X-ray images, with a greatest predicted quality and to update the six-degree of freedom pose based on the particular X-ray image. The device may provide, to the C-arm CBCT device, data that identifies the updated six-degree of freedom pose to cause the C-arm CBCT device to adjust to a new position based on the updated six-degree of freedom pose.
    Type: Grant
    Filed: May 9, 2024
    Date of Patent: April 8, 2025
    Assignee: The Johns Hopkins University
    Inventors: Mathias Unberath, Jan-Nico Zaech
  • MACHINE LEARNING MODEL TO ADJUST C-ARM CONE-BEAM COMPUTED TOMOGRAPHY DEVICE TRAJECTORIES
    Publication number: 20240293090
    Abstract: A device may receive an X-ray image captured by a C-arm CBCT device at a particular position defined by a six-degree of freedom pose relative to an anatomy, and may process the X-ray image, with a machine learning model, to determine a predicted quality of next possible X-ray images provided by the C-arm CBCT device. The device may utilize the machine learning model, to identify a particular X-ray image, of the next possible X-ray images, with a greatest predicted quality and to update the six-degree of freedom pose based on the particular X-ray image. The device may provide, to the C-arm CBCT device, data that identifies the updated six-degree of freedom pose to cause the C-arm CBCT device to adjust to a new position based on the updated six-degree of freedom pose.
    Type: Application
    Filed: May 9, 2024
    Publication date: September 5, 2024
    Inventors: Mathias UNBERATH, Jan-Nico ZAECH
  • Machine learning model to adjust C-arm cone-beam computed tomography device trajectories
    Patent number: 11992348
    Abstract: A device may receive an X-ray image captured by a C-arm CBCT device at a particular position defined by a six-degree of freedom pose relative to an anatomy, and may process the X-ray image, with a machine learning model, to determine a predicted quality of next possible X-ray images provided by the C-arm CBCT device. The device may utilize the machine learning model, to identify a particular X-ray image, of the next possible X-ray images, with a greatest predicted quality and to update the six-degree of freedom pose based on the particular X-ray image. The device may provide, to the C-arm CBCT device, data that identifies the updated six-degree of freedom pose to cause the C-arm CBCT device to adjust to a new position based on the updated six-degree of freedom pose.
    Type: Grant
    Filed: September 4, 2020
    Date of Patent: May 28, 2024
    Assignee: The Johns Hopkins University
    Inventors: Mathias Unberath, Jan-Nico Zaech
  • A MACHINE LEARNING MODEL TO ADJUST C-ARM CONE-BEAM COMPUTED TOMOGRAPHY DEVICE TRAJECTORIES
    Publication number: 20220323025
    Abstract: A device may receive an X-ray image captured by a C-arm CBCT device at a particular position defined by a six-degree of freedom pose relative to an anatomy, and may process the X-ray image, with a machine learning model, to determine a predicted quality of next possible X-ray images provided by the C-arm CBCT device. The device may utilize the machine learning model, to identify a particular X-ray image, of the next possible X-ray images, with a greatest predicted quality and to update the six-degree of freedom pose based on the particular X-ray image. The device may provide, to the C-arm CBCT device, data that identifies the updated six-degree of freedom pose to cause the C-arm CBCT device to adjust to a new position based on the updated six-degree of freedom pose.
    Type: Application
    Filed: September 4, 2020
    Publication date: October 13, 2022
    Applicant: The Johns Hopkins University
    Inventors: Mathias UNBERATH, Jan-Nico ZAECH