Patents by Inventor Christye P. Sisson

Christye P. Sisson 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).

  • Color Checker Device for a Fundus Imaging Camera
    Publication number: 20220346644
    Abstract: A color checker device is disclosed. The color checker device includes a substrate configured to be inserted into a model eye and to conform to a surface curvature of the model eye when inserted therein. A color test target is located on the substrate. The color test target comprises a plurality of color sections configured for generating a color characterization profile of a fundus imaging camera configured to capture a color image of a human retina. A method of generating a color characterization profile using the color checker device and a fundus imaging system having the color characterization profile stored thereon are also disclosed.
    Type: Application
    Filed: April 28, 2022
    Publication date: November 3, 2022
    Applicant: Rochester Institute of Technology
    Inventor: Christye P. Sisson
  • Automated fundus image field detection and quality assessment
    Patent number: 9905008
    Abstract: A method, system, and computer readable medium which automatically determine the side, field and a level of image quality of fundus images of the retina of a human eye is disclosed. The disclosure combines image processing, computer vision and pattern recognition techniques in a unique way to provide a robust process to identify and grade the quality of fundus images with application to improve efficiency and reduce errors in clinical or diagnostic retinal imaging workflows.
    Type: Grant
    Filed: October 10, 2014
    Date of Patent: February 27, 2018
    Assignees: UNIVERSITY OF ROCHESTER, ROCHESTER INSTITUTE OF TECHNOLOGY
    Inventors: Gajendra Jung Katuwal, John P. Kerekes, Rajeev S. Ramchandran, Christye P. Sisson
  • Automated Fundus Image Field Detection and Quality Assessment
    Publication number: 20150104087
    Abstract: A method, system, and computer readable medium which automatically determine the side, field and a level of image quality of fundus images of the retina of a human eye is disclosed. The disclosure combines image processing, computer vision and pattern recognition techniques in a unique way to provide a robust process to identify and grade the quality of fundus images with application to improve efficiency and reduce errors in clinical or diagnostic retinal imaging workflows.
    Type: Application
    Filed: October 10, 2014
    Publication date: April 16, 2015
    Applicants: UNIVERSITY OF ROCHESTER, ROCHESTER INSTITUTE OF TECHNOLOGY
    Inventors: Gajendra Jung Katuwal, John P. Kerekes, Rajeev S. Ramchandran, Christye P. Sisson