Patents by Inventor Christopher Syben

Christopher Syben 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: 10698054
    Abstract: A method and a system for magnetic resonance imaging are provided. The method includes acquiring a magnetic resonance (MR) data set of an object by sampling only a portion of a k-space of the object. This sampled portion may be substantially triangle-shaped or be composed of multiple planes that extend through a point of origin of the k-space and are tangential to a common spherical cap in the k-space. An inverse Fourier transformation is then applied to the MR data set to transform the MR data set from the k-space to image space. A final MR image with a fan- or cone-beam geometry is then computed based on the transformed MR data set in image space.
    Type: Grant
    Filed: August 24, 2018
    Date of Patent: June 30, 2020
    Assignee: Siemens Healthcare GmbH
    Inventors: Martino Leghissa, Andreas Maier, Bernhard Stimpel, Christopher Syben
  • Patent number: 10682110
    Abstract: Methods for performing digital subtraction angiography of a region of interest of a patient are described herein. The methods include acquiring a filled image data set of the region of interest by x-ray imaging and creating an angiography image data set by subtracting a mask image data set from the filled image data set, wherein an x-ray imaging device for x-ray imaging and a further imaging device for at least one additional imaging modality are co-registered and operable to acquire image data in the same field of view, wherein the imaging devices are used to simultaneously acquire the filled image data set using the x-ray imaging device and an anatomy data set using the further imaging device and the mask image data set in derived from the anatomy data set in a conversion process, which converts additional imaging modality image data into virtual x-ray image data.
    Type: Grant
    Filed: July 30, 2018
    Date of Patent: June 16, 2020
    Assignee: Siemens Healthcare GmbH
    Inventors: Martino Leghissa, Andreas Maier, Bernhard Stimpel, Christopher Syben
  • Publication number: 20190064292
    Abstract: A method and a system for magnetic resonance imaging are provided. The method includes acquiring a magnetic resonance (MR) data set of an object by sampling only a portion of a k-space of the object. This sampled portion may be substantially triangle-shaped or be composed of multiple planes that extend through a point of origin of the k-space and are tangential to a common spherical cap in the k-space. An inverse Fourier transformation is then applied to the MR data set to transform the MR data set from the k-space to image space. A final MR image with a fan- or cone-beam geometry is then computed based on the transformed MR data set in image space.
    Type: Application
    Filed: August 24, 2018
    Publication date: February 28, 2019
    Inventors: Martino Leghissa, Andreas Maier, Bernhard Stimpel, Christopher Syben
  • Publication number: 20190046145
    Abstract: Methods for performing digital subtraction angiography of a region of interest of a patient are described herein. The methods include acquiring a filled image data set of the region of interest by x-ray imaging and creating an angiography image data set by subtracting a mask image data set from the filled image data set, wherein an x-ray imaging device for x-ray imaging and a further imaging device for at least one additional imaging modality are co-registered and operable to acquire image data in the same field of view, wherein the imaging devices are used to simultaneously acquire the filled image data set using the x-ray imaging device and an anatomy data set using the further imaging device and the mask image data set in derived from the anatomy data set in a conversion process, which converts additional imaging modality image data into virtual x-ray image data.
    Type: Application
    Filed: July 30, 2018
    Publication date: February 14, 2019
    Inventors: Martino Leghissa, Andreas Maier, Bernhard Stimpel, Christopher Syben