Patents by Inventor Gregory John Metzger

Gregory John Metzger 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: 11633146
    Abstract: Medical imaging analysis systems are configured to perform automatic image registration algorithms that perform three-dimensional (3D), affine, and/or intensity-based co-registration of magnetic resonance imaging (MRI) data, such as multiparametric MRI (mpMRT) data, using mutual information (MI) as a similarity metric. An apparatus comprises a computer-readable storage medium storing a plurality of imaging series of magnetic resonance imaging (MRI) data for imaged tissue of a patient; and a processor coupled to the computer-readable storage medium. The processor is configured to receive the imaging series of MRI data; identify a volume of interest (VOI) of each image of the imaging series of MRI data; compute registration parameters for the VOIs through the maximization of mutual information of the corrected VOIs; and register the VOIs using the computed registration parameters.
    Type: Grant
    Filed: January 3, 2020
    Date of Patent: April 25, 2023
    Assignee: Regents of the University of Minnesota
    Inventors: Ethan Yize Leng, David Henry Porter, Gregory John Metzger
  • Patent number: 11631171
    Abstract: Automated, machine learning-based systems are described for the analysis and annotation (i.e., detection or delineation) of prostate cancer (PCa) on histologically-stained pathology slides of prostatectomy specimens. A technical framework is described for automating the annotation of predicted PCa that is based on, for example, automated spatial alignment and colorimetric analysis of both H&E and IHC whole-slide images (WSIs). The WSIs may, as one example, be stained with a particular triple-antibody cocktail against high-molecular weight cytokeratin (HMWCK), p63, and ?-methylacyl CoA racemase (AMACR).
    Type: Grant
    Filed: January 8, 2020
    Date of Patent: April 18, 2023
    Assignee: Regents of the University of Minnesota
    Inventors: Ethan Yize Leng, Gregory John Metzger, Joseph S. Koopmeiners, Jonathan Henriksen, Stephen C. Schmechel
  • Publication number: 20200250817
    Abstract: Automated, machine learning-based systems are described for the analysis and annotation (i.e., detection or delineation) of prostate cancer (PCa) on histologically-stained pathology slides of prostatectomy specimens. A technical framework is described for automating the annotation of predicted PCa that is based on, for example, automated spatial alignment and colorimetric analysis of both H&E and IHC whole-slide images (WSIs). The WSIs may, as one example, be stained with a particular triple-antibody cocktail against high-molecular weight cytokeratin (HMWCK), p63, and a-methylacyl CoA racemase (AMACR).
    Type: Application
    Filed: January 8, 2020
    Publication date: August 6, 2020
    Inventors: Ethan Yize Leng, Gregory John Metzger, Joseph S. Koopmeiners, Jonathan Henriksen, Stephen C. Schmechel
  • Publication number: 20200214619
    Abstract: Medical imaging analysis systems are configured to perform automatic image registration algorithms that perform three-dimensional (3D), affine, and/or intensity-based co-registration of magnetic resonance imaging (MRI) data, such as multiparametric MRI (mpMRT) data, using mutual information (MI) as a similarity metric. An apparatus comprises a computer-readable storage medium storing a plurality of imaging series of magnetic resonance imaging (MRI) data for imaged tissue of a patient; and a processor coupled to the computer-readable storage medium. The processor is configured to receive the imaging series of MRI data; identify a volume of interest (VOI) of each image of the imaging series of MRI data; compute registration parameters for the VOIs through the maximization of mutual information of the corrected VOIs; and register the VOIs using the computed registration parameters.
    Type: Application
    Filed: January 3, 2020
    Publication date: July 9, 2020
    Inventors: Ethan Yize Leng, David Henry Porter, Gregory John Metzger