Patents by Inventor Moira SCHIEKE

Moira SCHIEKE 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).

  • SYSTEM AND METHOD FOR FORMING A SUPER-RESOLUTION BIOMARKER MAP IMAGE
    Publication number: 20240078722
    Abstract: A method includes obtaining image data, selecting image datasets from the image data, creating three-dimensional (3D) matrices based on the selected image dataset, refining the 3D matrices, applying one or more matrix operations to the refined 3D matrices, selecting corresponding matrix columns from the 3D matrices, applying big data convolution algorithm to the selected corresponding matrix columns to create a two-dimensional (2D) matrix, and applying a reconstruction algorithm to create a super-resolution biomarker map image.
    Type: Application
    Filed: February 27, 2023
    Publication date: March 7, 2024
    Inventor: Moira SCHIEKE
  • System and method for forming a super-resolution biomarker map image
    Patent number: 11593978
    Abstract: A method includes obtaining image data, selecting image datasets from the image data, creating three-dimensional (3D) matrices based on the selected image dataset, refining the 3D matrices, applying one or more matrix operations to the refined 3D matrices, selecting corresponding matrix columns from the 3D matrices, applying big data convolution algorithm to the selected corresponding matrix columns to create a two-dimensional (2D) matrix, and applying a reconstruction algorithm to create a super-resolution biomarker map image.
    Type: Grant
    Filed: September 14, 2020
    Date of Patent: February 28, 2023
    Assignee: Cubismi, Inc.
    Inventor: Moira Schieke
  • SYSTEM AND METHOD FOR FORMING A SUPER-RESOLUTION BIOMARKER MAP IMAGE
    Publication number: 20210241504
    Abstract: A method includes obtaining image data, selecting image datasets from the image data, creating three-dimensional (3D) matrices based on the selected image dataset, refining the 3D matrices, applying one or more matrix operations to the refined 3D matrices, selecting corresponding matrix columns from the 3D matrices, applying big data convolution algorithm to the selected corresponding matrix columns to create a two-dimensional (2D) matrix, and applying a reconstruction algorithm to create a super-resolution biomarker map image.
    Type: Application
    Filed: September 14, 2020
    Publication date: August 5, 2021
    Inventor: Moira SCHIEKE