Patents by Inventor Marcel Dominink Nickel

Marcel Dominink Nickel 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: 10663550
    Abstract: In a method and magnetic resonance (MR) apparatus for generating an approximated trace-weighted MR image of a subject, at least three diffusion-weighted MR images of the subject are created, based on different diffusion encoding directions and diffusion gradient fields with essentially equal diffusion encoding strengths. A weighting factor is determined by an optimization method based on spatial inhomogeneities of the diffusion gradient fields for each image point of the at least three diffusion-weighted MR images. Based on the weighting factors, the at least three diffusion-weighted MR images are combined to generate the approximated trace-weighted MR image. Furthermore, an ADC map is determined based on approximated trace-weighted images and the effective diffusion encoding strength. Furthermore, a trace-weighted MR image is synthesized with nominal diffusion encoding strength based on a trace-weighted image with effective diffusion encoding strength.
    Type: Grant
    Filed: May 31, 2018
    Date of Patent: May 26, 2020
    Assignee: Siemens Healthcare GmbH
    Inventors: Thorsten Feiweier, Marcel Dominink Nickel
  • Publication number: 20180348325
    Abstract: In a method and magnetic resonance (MR) apparatus for generating an approximated trace-weighted MR image of a subject, at least three diffusion-weighted MR images of the subject are created, based on different diffusion encoding directions and diffusion gradient fields with essentially equal diffusion encoding strengths. A weighting factor is determined by an optimization method based on spatial inhomogeneities of the diffusion gradient fields for each image point of the at least three diffusion-weighted MR images. Based on the weighting factors, the at least three diffusion-weighted MR images are combined to generate the approximated trace-weighted MR image. Furthermore, an ADC map is determined based on approximated trace-weighted images and the effective diffusion encoding strength. Furthermore, a trace-weighted MR image is synthesized with nominal diffusion encoding strength based on a trace-weighted image with effective diffusion encoding strength.
    Type: Application
    Filed: May 31, 2018
    Publication date: December 6, 2018
    Applicant: Siemens Healthcare GmbH
    Inventors: Thorsten Feiweier, Marcel Dominink Nickel