Patents by Inventor Adam Kesner

Adam Kesner 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).

  • Data driven methods for deriving amplitude-based motion characterizations in pet imaging
    Patent number: 11006919
    Abstract: Various systems and methods for generating images are provided. In some embodiments, the techniques can include acquiring a medical image and an associated motion characterization. The motion characterization can then be used to generate a plurality of gated image data sets, sorted by phase in the motion cycle. A new amplitude-based motion characterization curve is derived from the association of phases with amplitude-based characteristics in the phase gated images. This newly derived amplitude-based motion characterization curve can then be used to re-sort data according to amplitude-based gating techniques known in the field or with data driven optimization techniques.
    Type: Grant
    Filed: April 6, 2020
    Date of Patent: May 18, 2021
    Assignee: The Regents of the University of Colorado, a body corporate
    Inventor: Adam Kesner
  • Data Driven Methods For Deriving Amplitude-Based Motion Characterizations In PET Imaging
    Publication number: 20200352539
    Abstract: Various systems and methods for generating images are provided. In some embodiments, the techniques can include acquiring a medical image and an associated motion characterization. The motion characterization can then be used to generate a plurality of gated image data sets, sorted by phase in the motion cycle. A new amplitude-based motion characterization curve is derived from the association of phases with amplitude-based characteristics in the phase gated images. This newly derived amplitude-based motion characterization curve can then be used to re-sort data according to amplitude-based gating techniques known in the field or with data driven optimization techniques.
    Type: Application
    Filed: April 6, 2020
    Publication date: November 12, 2020
    Applicant: The Regents of the University of Colorado, a body corporate
    Inventor: Adam Kesner
  • Data driven methods for deriving amplitude-based motion characterizations in PET imaging
    Patent number: 10610186
    Abstract: Various systems and methods for generating images are provided. In some embodiments, the techniques can include acquiring a medical image and an associated motion characterization. The motion characterization can then be used to generate a plurality of gated image data sets, sorted by phase in the motion cycle. A new amplitude-based motion characterization curve is derived from the association of phases with amplitude-based characteristics in the phase gated images. This newly derived amplitude-based motion characterization curve can then be used to re-sort data according to amplitude-based gating techniques known in the field or with data driven optimization techniques.
    Type: Grant
    Filed: August 26, 2016
    Date of Patent: April 7, 2020
    Assignee: The Regents of the University of Colorado, a body corporate
    Inventor: Adam Kesner
  • Data Driven Methods For Deriving Amplitude-Based Motion Characterizations In PET Imaging
    Publication number: 20190000408
    Abstract: Various systems and methods for generating images are provided. In some embodiments, the techniques can include acquiring a medical image and an associated motion characterization. The motion characterization can then be used to generate a plurality of gated image data sets, sorted by phase in the motion cycle. A new amplitude-based motion characterization curve is derived from the association of phases with amplitude-based characteristics in the phase gated images. This newly derived amplitude-based motion characterization curve can then be used to re-sort data according to amplitude-based gating techniques known in the field or with data driven optimization techniques.
    Type: Application
    Filed: August 26, 2016
    Publication date: January 3, 2019
    Inventor: Adam Kesner
  • Methods and systems for retrospective internal gating
    Publication number: 20080273785
    Abstract: The present invention, in one form, is a method for deriving respiratory gated PET image reconstruction from raw PET data. In reconstructing the respiratory gated images in accordance with the present invention, respiratory motion information derived from individual voxel signal fluctuations, is used in combination to create usable respiratory phase information. Employing this method allows the respiratory gated PET images to be reconstructed from PET data with out the use of external hardware, and in a fully automated manner.
    Type: Application
    Filed: May 5, 2008
    Publication date: November 6, 2008
    Inventor: Adam Kesner