Patents by Inventor Sarah Kelly McGill

Sarah Kelly McGill 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).

  • Methods, systems, and computer readable media for deriving a three-dimensional (3D) textured surface from endoscopic video
    Patent number: 10733745
    Abstract: Methods, systems, and computer readable media for deriving a three-dimensional (3D) textured surface from endoscopic video are disclosed. According to one method for deriving a 3D textured surface from endoscopic video, the method comprises: performing video frame preprocessing to identify a plurality of video frames of an endoscopic video, wherein the video frame preprocessing includes informative frame selection, specularity removal, and key-frame selection; generating, using a neural network or a shape-from-motion-and-shading (SfMS) approach, a 3D textured surface from the plurality of video frames; and optionally registering the 3D textured surface to at least one CT image.
    Type: Grant
    Filed: January 7, 2019
    Date of Patent: August 4, 2020
    Assignee: THE UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL
    Inventors: Stephen Murray Pizer, Jan-Michael Frahm, Julian Gary Rosenman, Qingyu Zhao, Rui Wang, Ruibin Ma, James True Price, Miao Fan, Sarah Kelly McGill
  • METHODS, SYSTEMS, AND COMPUTER READABLE MEDIA FOR DERIVING A THREE-DIMENSIONAL (3D) TEXTURED SURFACE FROM ENDOSCOPIC VIDEO
    Publication number: 20200219272
    Abstract: Methods, systems, and computer readable media for deriving a three-dimensional (3D) textured surface from endoscopic video are disclosed. According to one method for deriving a 3D textured surface from endoscopic video, the method comprises: performing video frame preprocessing to identify a plurality of video frames of an endoscopic video, wherein the video frame preprocessing includes informative frame selection, specularity removal, and key-frame selection; generating, using a neural network or a shape-from-motion-and-shading (SfMS) approach, a 3D textured surface from the plurality of video frames; and optionally registering the 3D textured surface to at least one CT image.
    Type: Application
    Filed: January 7, 2019
    Publication date: July 9, 2020
    Inventors: Stephen Murray Pizer, Jan-Michael Frahm, Julian Gary Rosenman, Qingyu Zhao, Rui Wang, Ruibin Ma, James True Price, Miao Fan, Sarah Kelly McGill
  • Methods, systems, and computer readable media for three-dimensional (3D) reconstruction of colonoscopic surfaces for determining missing regions
    Patent number: 10682108
    Abstract: Methods, systems, and computer readable media for deriving a three-dimensional (3D) surface from colonoscopic video are disclosed. According to one method for deriving a 3D surface from colonoscopic video, the method comprises: performing video frame preprocessing to identify a plurality of keyframes of a colonoscopic video, wherein the video frame preprocessing includes informative frame selection and keyframe selection; generating, using a recurrent neural network and direct sparse odometry, camera poses and depth maps for the keyframes; and fusing, using SurfelMeshing and the camera poses, the depth maps into a three-dimensional (3D) surface of a colon portion, wherein the 3D surface indicates at least one region of the colon portion that was not visualized.
    Type: Grant
    Filed: July 16, 2019
    Date of Patent: June 16, 2020
    Assignee: THE UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL
    Inventors: Ruibin Ma, Rui Wang, Stephen Murray Pizer, Jan-Michael Frahm, Julian Gary Rosenman, Sarah Kelly McGill
  • Methods, systems, and computer readable media for deriving a three-dimensional (3D) textured surface from endoscopic video
    Patent number: 10614580
    Abstract: Methods, systems, and computer readable media for deriving a three-dimensional (3D) textured surface from endoscopic video are disclosed. According to one method for deriving a 3D textured surface from endoscopic video, the method comprises: performing video frame preprocessing to identify a plurality of video frames of an endoscopic video, wherein the video frame preprocessing includes informative frame selection, specularity removal, and key-frame selection; generating, using a neural network or a shape-from-motion-and-shading (SfMS) approach, a 3D textured surface from the plurality of video frames; and optionally registering the 3D textured surface to at least one CT image.
    Type: Grant
    Filed: January 7, 2019
    Date of Patent: April 7, 2020
    Assignee: The University of North Carolina at Chapel Hill
    Inventors: Stephen Murray Pizer, Jan-Michael Frahm, Julian Gary Rosenman, Qingyu Zhao, Rui Wang, Ruibin Ma, James True Price, Miao Fan, Sarah Kelly McGill